Omics
Turn sequencing and multi-omics datasets into interpretable biology. Bulk and single-cell RNA-seq, WES/WGS variant analysis, metagenomics and multi-omics integration — delivered as QC reports, statistical analysis, pathway interpretation, publication-quality figures and a reproducible workflow you can re-run yourself.
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Screening
Prioritise purchasable or client-supplied compounds against a defined target before synthesis or assay work begins. Receptor preparation, docking, physicochemical and liability filters, pose review and consensus ranking produce a traceable shortlist for experimental testing — not a claim of confirmed binding.
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Simulation
Explicit-solvent MD for protein, protein–ligand and protein–membrane systems. We agree system size, force field, simulation length and replicate count up front, then report RMSD/RMSF, contact and hydrogen-bond occupancy, and approximate relative binding energetics with their assumptions stated.
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Developability
Identify physicochemical, absorption, permeability, metabolism and safety liabilities before experimental resources are committed. We report model applicability, structural alerts and compound-level trade-offs so design teams can prioritise the next optimisation cycle.
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Design
Evaluate and optimise sequences for binding, stability and developability. Structure prediction, interface and epitope analysis, humanisation scoring, and mutation-stability scans return ranked variants with a structural rationale, developability flags and a proposed validation plan.
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Libraries
Build versioned, project-specific structural and compound libraries — whole-proteome, pathway-focused or target-family sets — with documented source databases, model confidence per entry, and delivery in standard PDB/mmCIF and tabular formats you can load straight into your own tooling.
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products
platforms
Bioinformatics & Omics
Molecular Dynamics
Binding Site & Interface
Virtual Screening
Structure Modelling
Antibody Informatics
Enzyme & Protein Design
Peptide & Cyclic Peptide Design
From raw FASTQ or a count matrix to interpretable biology: quality control, alignment or pseudo-alignment, normalisation, differential expression with an explicit statistical model and multiple-testing correction, pathway enrichment, and a documented environment so the analysis can be reproduced. Study design, batch effects and confounders are reviewed before any processing starts.
Versioned structural and compound sets built for one project — whole-proteome, pathway-focused or target-family. Source databases, build date and per-entry model confidence are documented, and files ship in standard PDB/mmCIF and tabular...
A traceable shortlist for experimental testing: ranked table with scores, top poses, interaction fingerprints, the filters applied and the reason for each, and an explicit note that a docking score ranks compounds rather than measures...
Trajectories with the force field, simulation length and replicate count stated on the front page, plus RMSD/RMSF, contact and hydrogen-bond occupancy, and approximate relative binding energetics reported as the comparative tools they...
Numbering and CDR definition, Fv/Fab or VHH models, humanisation scores, sequence-liability and developability flags, and mutation-stability analysis — assembled into a ranked variant list with the structural rationale behind...
The workflow itself as a deliverable: containerised environment, pinned tool versions, documented parameters, automated QC and the scripts needed to re-run the analysis on new data after the project closes, with licence terms...
An integrated computational workflow for small-molecule programmes, spanning binding-site assessment, virtual screening, molecular docking, de novo design, ADMET prediction and molecular simulation. Each stage produces ranked candidates and documented decision criteria for the next design or testing cycle.
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Computational design and assessment for full-length antibodies, VHHs and multispecific formats. The platform combines structure prediction, CDR and interface analysis, humanisation scoring, affinity-maturation design and developability screening to prioritise variants for experimental validation.
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Computational design for linear peptides, cyclic peptides, stapled peptides and other constrained macrocycles. Sequence generation, conformational sampling, target-complex modelling and stability or permeability assessment are combined to rank designs against the intended biological objective.
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AI-guided design and optimisation for proteins and enzymes, including de novo structure generation, sequence design, stability engineering, mutation scanning and fitness-landscape modelling. Outputs are prioritised variants with structural rationale, confidence measures and recommended validation assays.
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Reproducible analysis for transcriptomic, genomic, spatial and integrated multi-omics datasets. Quality control, statistical modelling, pathway interpretation and predictive analysis are delivered with versioned workflows, documented parameters and publication-ready figures.
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Small Molecule Discovery Platform
Antibody & VHH Design Platform
Peptide & Macrocycle Design Platform
Protein & Enzyme Engineering Platform
Nucleic Acid & Omics Analysis Platform
