Chemography

Interpretable Embeddings for Chemical Space

Develop dimensionality-reduction methods whose axes carry chemical meaning, not just variance. Fundable because interpretability is a central barrier to trust in cheminformatics maps.

Chemography Foundations

Doctoral work examines mapping chemical space so molecules can be navigated. Cartographic thinking makes an unimaginably vast space genuinely tractable.

Chemical Space Research

Research examines the conceptual space containing all possible molecular structures. Space thinking organises discovery around position rather than lists.

Chemical Space Definition

Doctoral study examines how the boundaries of chemical space are defined. Definition choices determine what any resulting map can possibly show.

Space Boundary Research

Research examines limits separating realistic molecules from impossible constructions. Boundaries constrain enumeration to structures worth considering at all.

Space Coverage Research

Doctoral work examines what proportion of chemical space collections occupy. Existing collections occupy an extraordinarily small fraction of possibility.

Space Size Estimation

Research examines estimating how many molecules could theoretically ever exist. Size estimates vary enormously depending upon the assumptions made.

Enumerable Space Research

Doctoral study examines systematically generating all structures satisfying stated rules. Exhaustive enumeration reveals regions nobody has yet examined.

Virtual Space Research

Research examines molecules existing only within computational representation. Virtual collections vastly exceed anything physically available anywhere.

Synthesisable Space Research

Doctoral work examines which imagined structures could actually be made. Synthetic reachability separates useful proposals from mere enumeration.

Stable Reference Frames Across Descriptors

Research reference frameworks that stay consistent as descriptor backends and software change. Addresses the reproducibility crisis in chemical-space comparison.

Natural Product Space

Research examines the region occupied by molecules produced by organisms. Natural structures occupy regions synthetic chemistry rarely reaches.

Drug Like Space Research

Doctoral study examines the region occupied by successful oral medicines. Region boundaries guide which structures discovery programmes pursue.

Lead Like Space Research

Research examines regions suited to starting points for medicine development. Starting points need room to grow during subsequent optimisation.

Fragment Space Research

Doctoral work examines the region containing very small molecular structures. Small structures sample space far more efficiently than large ones.

Peptide Space Research

Research examines the space of short amino acid chain structures. Sequence based space differs quite fundamentally from small molecule space.

Macrocycle Space Research

Doctoral study examines large ring structures occupying an underexplored region. These structures reach targets that conventional molecules cannot.

Material Space Research

Research examines mapping spaces of solid and material chemical systems. Material space requires representations molecular approaches cannot supply.

Reaction Space Research

Doctoral work examines mapping chemical transformations rather than static structures. Reaction maps guide route planning and transformation discovery.

Protein Ligand Space

Research examines joint spaces describing both binding partners together. Joint representation captures interaction that separate spaces miss.

Biological Space Research

Doctoral study examines spaces defined by measured biological response profiles. Biological space organises molecules by effect rather than structure.

Out-of-Sample Projection Theory

Develop rigorous methods to project unseen compounds onto fixed nonlinear maps without refitting. Core unsolved problem limiting production use of t-SNE/UMAP.

Property Space Research

Research examines spaces defined by measured or calculated molecular properties. Property axes are interpretable in ways structural axes are not.

Cartographic Principle Research

Doctoral work examines mapmaking principles applied to chemical representation. Cartography supplies concepts this field borrowed quite deliberately.

Map Projection Research

Research examines projecting high dimensional information onto viewable surfaces. Every projection distorts something that must be understood.

Coordinate System Research

Doctoral study examines defining the axes upon which molecules are positioned. Coordinate choice determines which relationships become visible at all.

Landmark Research

Research examines reference structures anchoring a chemical space map. Landmarks make separately produced maps comparable with one another usefully.

Reference Set Research

Doctoral work examines curated structure sets defining a mapping framework. Reference choice determines the space that any resulting map represents.

Navigation Research

Research examines moving purposefully through mapped chemical space regions. Navigation converts a static map into a genuine discovery instrument.

Neighbourhood Research

Doctoral study examines what counts as nearby within a chemical map. Neighbourhood definition determines which structures are considered related.

Similarity Principle Research

Research examines the assumption that similar structures behave in similar ways. This principle underpins the field and fails in important cases.

Activity Landscape Research

Doctoral work examines biological activity represented as terrain across chemical space. Landscape metaphors reveal where optimisation can usefully proceed.

Metric Learning for Chemical Distance

Learn task-specific distance metrics that make chemical-space neighbourhoods predictive of activity. Bridges representation learning and medicinal chemistry.

RESEARCH GAP FRONTIERS

Activity Cliff Research

Research examines nearly identical structures with sharply differing activity. Cliffs break the similarity assumption that prediction depends upon.

Structure Activity Relationship

Doctoral study examines systematic links between structural change and activity. These relationships guide how molecules are deliberately improved.

Scaffold Research

Research examines core structural frameworks shared across families of molecules. Scaffolds organise large collections into interpretable structural groups.

Scaffold Hopping Research

Doctoral work examines finding differing frameworks that retain desired activity. Hopping escapes patents and improves properties simultaneously.

Chemotype Research

Research examines structural classes sharing recognisable chemical characteristics. Chemotype thinking groups molecules the way chemists actually reason.

Molecular Framework Research

Doctoral study examines reduced structural skeletons stripped of peripheral groups. Frameworks reveal structural relatedness that full structures obscure.

Ring System Research

Research examines cyclic structural units and their distribution across space. Ring systems are the principal organising feature of most molecules.

Substituent Research

Doctoral work examines peripheral groups attached to core molecular frameworks. Substituent choice drives most property change during optimisation.

Stereochemistry Representation

Research examines encoding three dimensional arrangement within structural records. Mirror image forms frequently behave completely differently biologically.

Tautomer Handling Research

Doctoral study examines structures interconverting between equivalent chemical forms. Inconsistent handling creates apparent duplicates within collections.

Activity Landscape Roughness Modeling

Quantify and predict where structure-activity landscapes are smooth versus discontinuous. Directly informs how learnable a target's SAR is.

Protonation State Research

Research examines charge states molecules adopt under differing conditions. Charge state determines both properties and biological interaction.

Mixture Handling Research

Doctoral work examines records containing salts, solvates and multiple components. Mixture records complicate every automated processing step applied.

Structure Standardisation

Research examines converting varied structural records into consistent form. Standardisation is prerequisite for meaningful comparison between sources.

Structure Curation Research

Doctoral study examines correcting and validating structural records systematically. Public collections contain substantial numbers of structural errors.

Data Quality Research

Research examines reliability of structure and measurement records used. Quality problems propagate silently into every downstream analysis.

Duplicate Identification Research

Doctoral work examines recognising when records describe the very same structure. Duplicate detection is considerably harder than it superficially appears.

Error Detection Research

Research examines automatically identifying implausible structures and measurements. Automated checking catches errors manual review would entirely miss.

Chemical Database Research

Doctoral study examines systems storing and retrieving structural information. Database design determines what searches remain practically feasible.

Public Repository Research

Research examines openly available collections of structures and measurements. Open collections made this whole field possible for most researchers.

Data Integration Research

Doctoral work examines combining information drawn from many separate sources. Integration multiplies coverage and inherits every source inconsistency.

Activity Cliff Prediction Methods

Develop models that anticipate activity cliffs from structure before synthesis. High-impact for prioritizing medicinal-chemistry effort.

Chemical Ontology Research

Research examines formal vocabularies describing chemical classes and relationships. Shared vocabularies permit reasoning across differing data sources.

Molecular Representation Research

Doctoral study examines how molecules are encoded for computational processing. Representation choice determines what any method can possibly learn.

Line Notation Research

Research examines text strings encoding complete molecular structures compactly. String encodings enable text based methods to process chemistry.

Molecular Graph Research

Doctoral work examines molecules represented as connected atom networks. Graph representation matches how chemists conceptualise structure naturally.

Connectivity Table Research

Research examines tabular formats recording atoms and their connections. Table formats remain the exchange standard across chemical software.

Fingerprint Research

Doctoral study examines binary or counted encodings summarising molecular structure. Fingerprints make similarity comparison computationally very fast.

Substructure Fingerprint

Research examines encodings recording presence of defined structural fragments. Predefined fragments give encodings that remain readily interpretable.

Circular Fingerprint Research

Doctoral work examines encodings built from atom environments at increasing radius. These encodings are the default across most practical applications.

Pharmacophore Fingerprint

Research examines encodings recording arrangements of interaction capable features. Feature based encodings recognise similarity across differing frameworks.

Descriptor Research

Doctoral study examines numerical quantities calculated to characterise molecules. Descriptors provide the axes upon which chemical maps are built.

Constitutional Descriptor Research

Research examines simple counts describing molecular composition and size. Simple counts remain surprisingly informative within many applications.

Chemical Space Coverage Theory

Formalize metrics for coverage, voids, and reachability in high-dimensional chemical space. Foundational for rational library design.

Topological Descriptor Research

Doctoral work examines quantities derived from molecular connectivity patterns. Topological measures require no three dimensional structure at all.

Geometric Descriptor Research

Research examines quantities derived from three dimensional molecular arrangement. Geometric measures depend upon which conformation was actually used.

Electronic Descriptor Research

Doctoral study examines quantities describing charge distribution within molecules. Electronic character governs how molecules interact with targets.

Physicochemical Descriptor

Research examines calculated properties such as solubility and partitioning. These properties are interpretable and widely used for filtering.

Quantum Descriptor Research

Doctoral work examines quantities derived from quantum chemical calculation. Quantum measures are accurate and computationally very demanding.

Shape Descriptor Research

Research examines quantities characterising overall molecular form and volume. Shape similarity finds molecules that connectivity comparison misses.

Surface Descriptor Research

Doctoral study examines quantities describing accessible molecular surface characteristics. Surface properties determine what a binding partner encounters.

Three Dimensional Representation

Research examines encoding spatial molecular arrangement for comparison purposes. Spatial encoding captures recognition that flat representation cannot.

Conformer Research

Doctoral work examines the differing shapes a flexible molecule adopts. Shape choice strongly affects every three dimensional comparison made.

Generative Models and Space Boundaries

Study how generative models explore, exploit, or escape known chemical-space regions. Critical for steering de novo design toward useful novelty.

Conformational Ensemble Research

Research examines representing molecules as collections of accessible shapes. Ensembles express flexibility that single structures entirely conceal.

Descriptor Selection Research

Doctoral study examines choosing which calculated quantities to actually use. Selection strongly determines the structure of the resulting map.

Descriptor Correlation Research

Research examines redundancy between calculated molecular descriptor quantities. Correlated descriptors inflate dimensionality without adding information.

Descriptor Interpretability

Doctoral work examines whether calculated quantities carry chemical meaning. Interpretable axes let chemists reason about map positions directly.

Learned Representation Research

Research examines encodings derived automatically rather than designed manually. Learned encodings avoid the manual descriptor design step entirely.

Graph Neural Representation

Doctoral study examines neural models operating directly upon molecular graphs. Graph models learn features that fixed descriptors cannot express.

Language Model Representation

Research examines text based models encoding molecules from string notation. Language models transfer readily from very large unlabelled collections.

Self Supervised Representation

Doctoral work examines learning encodings without any labelled measurement data. Unlabelled structures are abundant while measurements remain scarce.

Contrastive Representation Research

Research examines learning by distinguishing related from unrelated structure pairs. Defining relatedness is itself a substantive chemical judgement.

Transfer Representation Research

Doctoral study examines reusing encodings across differing chemical prediction tasks. Transfer reduces the labelled data that each new task demands.

Latent Space Navigation for Design

Research smooth, controllable navigation of learned latent spaces toward target properties. Enables property-guided molecular design.

Representation Benchmarking

Research examines comparing encoding approaches on shared standard tasks. Benchmark design determines which approaches appear to perform best.

Similarity Measure Research

Doctoral work examines quantifying how alike two molecular structures are. Similarity definition determines every neighbourhood a map displays.

Distance Metric Research

Research examines mathematical distances defined over molecular representations. Metric choice reshapes the geometry of the whole chemical map.

Metric Space Research

Doctoral study examines formal properties of distances defined over molecules. Metric properties determine which indexing and search methods apply.

Kernel Method Research

Research examines similarity functions enabling learning without explicit coordinates. Kernels operate directly upon structures without any vector encoding.

Dimensionality Reduction Research

Doctoral work examines summarising many descriptors within very few dimensions. Reduction is what makes chemical space visually representable at all.

Principal Analysis Research

Research examines linear reduction capturing the greatest variation present. Linear reduction is interpretable and misses curved structure entirely.

Nonlinear Reduction Research

Doctoral study examines reduction capturing curved relationships between descriptors. Nonlinear methods reveal structure that linear projection flattens.

Manifold Learning Research

Research examines recovering low dimensional surfaces underlying chemical data. Manifold thinking assumes molecules occupy far fewer effective dimensions.

Generative Topographic Mapping

Doctoral work examines probabilistic mapping producing interpretable chemical landscapes. This approach is closely associated with the origins of this field.

Multi-Objective Chemical Space Optimization

Develop methods to navigate space under competing potency, ADMET, and synthesizability goals. Reflects real lead-optimization constraints.

Self Organising Map Research

Research examines neural mapping arranging molecules across a fixed grid. Grid arrangement produces maps that remain stable and readily comparable.

Neighbour Embedding Research

Doctoral study examines reduction preserving local neighbourhood relationships closely. Local preservation comes at the cost of global distance accuracy.

Uniform Manifold Approximation

Research examines a widely adopted method balancing local and global structure. This method has become the default for visualising large collections.

Autoencoder Research

Doctoral work examines neural models compressing and reconstructing molecular representations. Compression produces continuous spaces suited to generation.

Latent Space Research

Research examines continuous learned spaces within which molecules are positioned. Continuity permits optimisation that discrete structures forbid.

Latent Space Interpolation

Doctoral study examines generating structures positioned between two known molecules. Interpolated structures may be chemically implausible or invalid.

Projection Distortion Research

Research examines information lost when high dimensional data is projected. Every low dimensional map misrepresents some genuine relationships.

Reduction Validation Research

Doctoral work examines assessing whether a projection faithfully represents data. Visual plausibility is routinely mistaken for actual faithfulness.

Intrinsic Dimension Research

Research examines how many dimensions chemical data genuinely actually requires. Intrinsic dimension is far lower than descriptor counts would suggest.

Clustering Research

Doctoral study examines grouping molecules by structural or property similarity. Clustering organises collections into groups chemists can review.

Cluster Validation Research

Research examines judging whether identified groupings are chemically meaningful. Methods produce groupings regardless of whether structure exists.

Uncertainty-Aware Chemical Mapping

Propagate and visualize uncertainty in compound positions and predictions on maps. Improves decision quality under noisy data.

Chemical Space Visualisation

Doctoral work examines graphical presentation of mapped chemical space regions. Visual presentation is how chemists actually engage with these maps.

Interactive Map Research

Research examines maps supporting exploration rather than static viewing. Interaction lets chemists pursue questions as they actually arise.

Visual Analytics Research

Doctoral study examines combining computation with human visual reasoning. Combination exploits pattern recognition that automation cannot replicate.

Colour Encoding Research

Research examines representing properties through colour across chemical maps. Colour choice strongly influences which patterns viewers actually notice.

Density Representation Research

Doctoral work examines showing where molecules concentrate within mapped space. Density views reveal crowding that individual markers entirely obscure.

Contour Mapping Research

Research examines representing continuous property surfaces across chemical space. Contours convert scattered measurements into interpretable landscapes.

Multiscale Visualisation

Doctoral study examines viewing chemical space at differing levels of detail. Scale switching connects overall structure to individual molecules.

Large Scale Rendering Research

Research examines displaying collections containing many millions of structures. Rendering technique determines what collection sizes remain viewable.

Visual Perception Research

Doctoral work examines how viewers actually perceive chemical map displays. Perceptual limits determine what any visual encoding can convey.

Self-Supervised Molecular Representations

Pretrain molecular foundation embeddings for transferable chemical-space coordinates. Aligns with the foundation-model wave in chemistry.

Map Interpretation Research

Research examines what conclusions chemical maps genuinely support at all. Maps are routinely overinterpreted well beyond what the projection permits.

Map Comparison Research

Doctoral study examines comparing maps built from differing structural collections. Comparison requires shared reference frames that few maps provide.

Temporal Map Research

Research examines how occupied chemical space shifts across time periods. Historical mapping reveals how discovery attention has actually moved.

Network Visualisation Research

Doctoral work examines representing molecules as connected relationship networks. Networks show relatedness without imposing any spatial projection.

Similarity Network Research

Research examines networks linking structures exceeding a similarity threshold. Threshold choice entirely determines the network that appears.

Matched Pair Analysis

Doctoral study examines structure pairs differing at exactly one position. Paired comparison isolates the effect of a single structural change.

Chemical Series Research

Research examines related structures explored during an optimisation programme. Series analysis reveals how discovery effort actually progressed.

Optimisation Trajectory Research

Doctoral work examines paths taken through chemical space during projects. Trajectories reveal whether exploration was broad or unhelpfully narrow.

Space Coverage Metric

Research examines quantifying how thoroughly a collection samples space. Coverage measures guide whether further acquisition would add anything.

Diversity Metric Research

Doctoral study examines quantifying structural variety within a collection. Diversity measures disagree substantially with one another in practice.

Bias and Domain Shift in Maps

Characterize and correct dataset bias that distorts chemical-space layouts. Essential for fair, generalizable models.

Diversity Selection Research

Research examines choosing subsets that maximise structural variety obtained. Diverse selection is preferred where target knowledge is absent.

Representative Selection Research

Doctoral work examines choosing subsets that faithfully represent larger collections. Representative subsets permit testing that full screening forbids.

Library Design Research

Research examines deliberately assembling collections for a stated purpose. Design determines what any subsequent screening campaign can find.

Screening Set Design

Doctoral study examines assembling structures for broad experimental testing. Set composition determines both hit rate and hit quality obtained.

Focused Set Design

Research examines assembling structures targeted at one specific protein family. Focused sets raise hit rates and narrow the diversity explored.

Sparse Region Research

Doctoral work examines areas of chemical space containing very few structures. Sparse regions may hide opportunity or may simply be unreachable.

Gap Analysis Research

Research examines systematically identifying unexplored regions worth investigating. Gap identification directs where new synthesis should concentrate.

Novelty Assessment Research

Doctoral study examines judging how genuinely new a proposed structure is. Novelty claims require comparison against very large known collections.

Applicability Domain Research

Research examines the region within which a model can be trusted. Domain boundaries prevent predictions being made where they are meaningless.

Extrapolation Research

Doctoral work examines model behaviour beyond the region it learned from. Extrapolated predictions are unreliable and are nonetheless made constantly.

Model Confidence Research

Research examines expressing uncertainty attached to individual predictions. Confidence estimates determine whether predictions can guide decisions.

Natural Product Space Exploration

Map and quantify how natural-product space differs from synthetic drug-like space. Fundable through NP-driven discovery programmes.

Predictive Modelling Research

Doctoral study examines building models relating structure to measured outcomes. Models let vast virtual collections be assessed without any synthesis.

Property Prediction Research

Research examines forecasting physical and chemical properties from structure. Property prediction filters proposals before any experimental effort.

Activity Prediction Research

Doctoral work examines forecasting biological response from molecular structure. Activity prediction is harder and more valuable than property prediction.

Toxicity Prediction Research

Research examines forecasting harmful effects from structural information alone. Early prediction avoids late failure that wastes enormous effort.

Synthetic Accessibility Research

Doctoral study examines estimating how readily a structure could be made. Accessibility scoring separates realistic proposals from impossible ones.

Retrosynthesis Research

Research examines working backward from a target toward available starting materials. Route planning determines whether a proposal can be pursued.

Reaction Prediction Research

Doctoral work examines forecasting products from specified reacting partners. Prediction supports planning routes without exhaustive experimentation.

Generative Design Research

Research examines computationally proposing entirely new molecular structures. Generation shifts the problem from searching toward filtering proposals.

Molecular Generation Research

Doctoral study examines models producing valid structures satisfying stated criteria. Validity and novelty must both be demonstrated rather than assumed.

Constrained Generation Research

Research examines generation restricted to satisfy defined structural requirements. Constraints keep proposals within regions that chemistry can reach.

Beyond-Rule-of-Five Space Modeling

Study the under-charted chemical space of large, flexible molecules. Relevant to a fast-growing therapeutic modality.

Multiobjective Design Research

Doctoral work examines balancing several desired properties simultaneously during design. No single structure optimises every objective at once.

Search Strategy Research

Research examines algorithms exploring chemical space toward stated objectives. Strategy determines whether exploration escapes local optima at all.

Active Learning Research

Doctoral study examines models choosing which experiments to request next. Selective experimentation reaches good molecules using far fewer tests.

Experimental Design Research

Research examines planning informative experiments across chemical space regions. Design determines how much a costly experiment actually teaches.

Iterative Design Cycle

Doctoral work examines repeated cycles of design, synthesis and measurement. Cycle speed determines how quickly discovery programmes can progress.

Model Validation Research

Research examines testing models against genuinely independent structural data. Random splitting overstates performance because collections contain near duplicates.

Benchmark Research

Doctoral study examines shared datasets used to compare computational approaches. Benchmark weaknesses have misled this field for extended periods.

Evaluation Metric Research

Research examines measures used to judge model and method performance. Metric choice can entirely reverse a comparison between competing methods.

Reproducibility Research

Doctoral work examines whether published computational results can be repeated. Undisclosed preprocessing choices obstruct attempted reproduction badly.

Macrocycle Conformational Space Mapping

Research how to represent and map flexible macrocycle chemistry. Tackles a hard representation problem for an emerging modality.

Cheminformatics Software Research

Research examines programs implementing chemical representation and analysis. Software differences produce differing results from identical inputs.

Drug Discovery Application

Doctoral study examines chemical mapping supporting medicine discovery programmes. Mapping directs limited synthesis toward the most promising regions.

Hit Identification Research

Research examines finding initial structures showing desired biological activity. Identification approach determines what starting points become available.

Lead Optimisation Research

Doctoral work examines improving promising structures toward viable medicines. Optimisation navigates space while balancing many competing requirements.

Repurposing Research

Research examines finding new uses for already approved therapeutic molecules. Repurposing avoids the safety work new structures would require.

Target Space Research

Doctoral study examines mapping biological targets rather than chemical structures. Target maps reveal which proteins remain entirely unaddressed.

Polypharmacology Research

Research examines molecules acting upon several biological targets simultaneously. Multiple activity is common and frequently entirely unrecognised.

Selectivity Mapping Research

Doctoral work examines regions where molecules act upon one target only. Selectivity regions guide design away from unwanted additional activity.

Antimicrobial Discovery Research

Research examines chemical space suited to acting against bacterial organisms. Antibacterial space differs markedly from ordinary medicine space.

Antiviral Discovery Research

Doctoral study examines chemical space relevant to acting against viruses. Viral targets constrain structures far more than many other targets.

Oncology Discovery Research

Research examines chemical space explored within cancer medicine discovery. Cancer discovery has explored certain target families very heavily.

Protein-Ligand Interaction Space

Develop maps of binding-interaction space linking ligand and pocket features. Connects chemography to structure-based design.

Neurological Discovery Research

Doctoral work examines chemical space suited to reaching the human brain. Brain penetration constrains acceptable structures very severely indeed.

Rare Disease Discovery

Research examines discovery for conditions affecting very few patients. Small populations make conventional discovery economics extremely difficult.

Agrochemical Application Research

Doctoral study examines chemical space relevant to crop protection substances. Agricultural requirements differ substantially from medicine requirements.

Veterinary Application Research

Research examines chemical space relevant to animal health treatment products. Species differences reshape which structures are actually suitable.

Cosmetic Application Research

Doctoral work examines chemical space relevant to personal care ingredients. Regulatory and safety requirements differ from therapeutic settings.

Flavour And Fragrance Research

Research examines chemical space of molecules producing taste and smell. Sensory response is very difficult to predict from structure alone.

Materials Discovery Application

Doctoral study examines chemical mapping applied to material discovery programmes. Material spaces require representations molecular methods must be extended for.

Polymer Space Research

Research examines mapping spaces of long chain repeating molecular structures. Polymer representation must encode both units and chain arrangement.

Catalyst Space Research

Doctoral work examines mapping structures that accelerate chemical transformations. Catalyst mapping must connect structure to reaction performance.

Battery Material Space

Research examines mapping materials suited to electrochemical energy storage. Mapping guides search across an enormous inorganic possibility space.

Polypharmacology Space Analysis

Map compounds by multi-target activity profiles to study selectivity landscapes. Supports rational multi-target drug design.

Framework Material Space

Doctoral study examines mapping porous crystalline materials and their variants. Framework space is combinatorially vast and systematically enumerable.

Photovoltaic Material Space

Research examines mapping materials converting light into electrical energy. Mapping accelerates search across many possible material families.

Green Chemistry Research

Doctoral work examines mapping regions with reduced environmental and safety burden. Mapping supports choosing substances that cause less harm.

Solvent Selection Research

Research examines mapping solvents by property, safety and environmental profile. Selection maps guide replacing hazardous solvents with safer options.

Process Chemistry Application

Doctoral study examines chemical mapping supporting manufacturing route selection. Route mapping balances yield, safety and environmental considerations.

Environmental Application Research

Research examines mapping substances by environmental persistence and effect. Mapping supports identifying substances that warrant regulatory attention.

Regulatory Application Research

Doctoral work examines chemical mapping supporting regulatory assessment processes. Regulators increasingly accept computational evidence within submissions.

Read Across Research

Research examines inferring properties from structurally similar tested substances. Read across reduces animal testing that regulation would otherwise demand.

Chemical Grouping Research

Doctoral study examines assembling substances into groups for joint assessment. Grouping justification determines whether regulators accept the approach.

Chemical-Biological Space Alignment

Align structure-based and phenotype/bioactivity-based spaces into joint maps. Enables mechanism inference from morphology and expression.

Risk Assessment Application

Research examines chemical mapping supporting assessment of substance hazard. Mapping prioritises which substances require detailed examination first.

Natural Product Research

Doctoral work examines molecules produced by living organisms and their space. Natural structures inspire regions synthetic effort rarely explores.

Metabolite Space Research

Research examines mapping the small molecules present within living systems. Metabolite space anchors interpretation of biological measurement studies.

Food Chemistry Application

Doctoral study examines mapping substances present within foods and diets. Dietary substances form a distinctive and poorly characterised space.

Forensic Application Research

Research examines chemical mapping supporting identification within forensic casework. Mapping assists identifying substances absent from reference collections.

Chemical Safety Research

Doctoral work examines mapping regions associated with hazard to human health. Safety mapping guides both design and regulatory prioritisation.

Dual Use Research

Research examines risks that design methods could produce harmful substances. Generative capability raises concerns the field must address openly.

Data Sharing Research

Doctoral study examines making structural and measurement data broadly available. Sharing multiplies value from measurements that were costly to obtain.

Open Science Research

Research examines open practice within chemical mapping and its methods. Openness has been uneven because commercial interests are substantial.

Intellectual Property Research

Doctoral work examines rights over structures, collections and mapping methods. Property arrangements determine what may be published or shared.

Patent Space Research

Research examines mapping structures claimed within existing patent documents. Patent mapping identifies both crowded and genuinely open regions.

Cell Painting Morphology-Chemistry Maps

Relate compound structure to image-based morphological profiles in a shared space. Hot area bridging chemistry and high-content screening.

Commercial Catalogue Research

Doctoral study examines structures offered for purchase by chemical suppliers. Catalogue space defines what can be obtained without any synthesis.

Computing Infrastructure Research

Research examines computational resources required for very large scale mapping. Infrastructure determines what collection sizes remain tractable.

Scalability Research

Doctoral work examines methods handling structural collections of enormous size. Methods working on thousands frequently fail entirely on billions.

Cloud Platform Research

Research examines remote computing platforms supporting chemical space analysis. Remote platforms give access that local infrastructure cannot provide.

Workflow Research

Doctoral study examines assembling analysis steps into reproducible pipelines. Workflow tools make complex analysis repeatable and shareable.

Standards Research

Research examines agreed formats and practices across chemical informatics. Standards permit exchange between differing systems and organisations.

Education And Training Research

Doctoral work examines preparing chemists to use computational mapping methods. Interpretation skill matters more than access to software alone.

Workforce And Skills Research

Research examines expertise required across chemical informatics and mapping. Combined chemical and computational capability remains genuinely scarce.

Economic Evaluation Research

Doctoral study examines value delivered by computational mapping within discovery. Evaluation must separate genuine benefit from ordinary project variation.

Metabolome Chemical Space Modeling

Develop reference frameworks for mapping and annotating metabolomes. Fundable via metabolomics and systems-biology programmes.

Implementation And Adoption

Research examines why mapping advances reach practice or fail to do so. Adoption depends upon chemist trust as much as demonstrated accuracy.

Microbiome Metabolite Space Discovery

Map microbiome-derived metabolite space to find bioactive novelty. Intersects chemography with a high-priority biology area.

Biosynthetic Space from Genomes

Link biosynthetic-gene-cluster predictions to candidate metabolite chemical space. Couples genome mining with chemography.

Reaction and Synthetic Space Mapping

Research the chemical space of feasible reactions and synthesizable products. Underpins make-on-demand and retrosynthesis at scale.

Ultra-Large Library Navigation

Develop algorithms to search billion-to-trillion-compound spaces tractably. Addresses the scaling frontier of virtual screening.

Active Learning over Chemical Space

Design active-learning strategies that choose maximally informative compounds to test. Cuts experimental cost in discovery.

Bayesian Optimization for Lead Design

Research sample-efficient Bayesian navigation of chemical space for optimization. Directly supports design-make-test-analyze cycles.

Federated Chemical Space Modeling

Develop privacy-preserving methods to build shared maps across organizations. Enables cross-pharma collaboration without sharing structures.

Materials Chemical Space Discovery

Map and navigate inorganic and materials composition space for property targets. Fundable through energy and materials initiatives.

Polymer Property Space Modeling

Research representations and maps for polymer and macromolecular chemistry. Tackles a representation gap in materials informatics.

Catalyst Space Structure-Performance

Map catalyst chemical space relating structure to catalytic performance regions. Relevant to sustainable process chemistry.

Green Solvent Space Optimization

Model solvent chemical space to navigate toward safer, sustainable choices. Supports green-chemistry mandates.

Predictive Toxicology Space Mapping

Map toxicity-relevant regions of chemical space for early liability prediction. Strong regulatory and safety funding rationale.

Read-Across Justification Frameworks

Develop defensible, space-based grouping methods for regulatory read-across. Addresses a recognized regulatory-science gap.

Environmental Chemical Space Modeling

Map persistence, bioaccumulation, and toxicity space for pollutants. Aligns with environmental and regulatory priorities.

Agrochemical Space Design

Research crop-protection chemical space and its distinct property constraints. Fundable through agri-R&D programmes.

Patent Space Analytics and FTO

Develop methods to map patented space and quantify freedom-to-operate. Bridges chemography with IP strategy.

Chemical Space Network Theory

Advance the graph-theoretic foundations of chemical-space networks. Offers an alternative paradigm to coordinate maps.

Scalable Visualization Algorithms

Research rendering and layout methods for million-plus-point interactive maps. Addresses a real usability bottleneck.

Map Faithfulness and Distortion Metrics

Develop rigorous measures of how truthfully low-D maps represent chemistry. Underpins trustworthy visual analytics.

Consensus and Multi-View Mapping

Research principled fusion of multiple embeddings into robust consensus maps. Improves stability of chemical-space conclusions.

Temporal Dynamics of Chemical Space

Model how chemical space evolves across projects, patents, and literature over time. Novel angle on innovation tracking.

Chemical Space and Synthesizability

Integrate synthetic-accessibility constraints directly into space navigation. Makes generated novelty actually makeable.

Fragment-to-Lead Space Trajectories

Study how fragments grow through chemical space into leads. Informs FBDD strategy with quantitative trajectories.

Privileged Structure Space Analysis

Research why certain scaffolds recur across bioactive space. Connects chemography to medicinal-chemistry theory.

Target-Class Chemical Space Atlases

Build and compare chemical-space atlases across major target families. Fundable as reference resources for discovery.

Antimicrobial Space and Novelty Gaps

Map antibiotic chemical space to locate and explain innovation gaps. High public-health funding priority.

Explainable AI for Chemical Maps

Develop explanation methods for ML models built on chemical-space features. Addresses trust and regulatory acceptance of AI.

Benchmarking Chemical Space Methods

Establish rigorous benchmarks and ground-truth datasets for mapping methods. Provides community infrastructure and is highly citable.

Integrated Chemography Decision Platforms

Research end-to-end systems coupling mapping, navigation, and decision support. Translational direction bridging methods and deployment.