Vivofold Research
Structural Bioinformatics & Computational Drug Discovery
Computational drug discovery produces many confident numbers and fewer reliable conclusions. Our work emphasises validation: retrospective benchmarks for docking protocols, leakage-free QSAR evaluation and applicability domains, and clear reporting of what a prediction can support.
Questions
What we want to know
- How often do docking protocols pass retrospective validation for the targets they are applied to?
- How much do random splits overstate QSAR performance compared with cluster or scaffold splits?
- Which structural features of predicted models matter most for docking reliability?
Approach
How we work on it
- Redocking and decoy-enrichment benchmarks
- Cluster-aware QSAR validation with Y-randomisation
- Comparison of experimental and predicted structures
Methods already implemented
Random forest, kNN and ridge QSAR with applicability domainsButina clustering of chemical spaceInteraction profiling and pocket detectionKabsch superposition and TM-score
Open projects
Projects you can join
01
Docking validation audit
Systematically test docking protocols on public targets with known actives and decoys.
02
QSAR split study
Quantify performance inflation from random splits across ChEMBL targets.
03
Predicted structures for docking
Compare docking outcomes on experimental and predicted structures of the same targets.
Across Vivofold
Learn it, use it, commission it
Vedicgen courses
Molecular Docking & Structure-Based Drug DiscoveryUp to 4 weeks, about 32 hours live (customisable)Dry labfrom ₹4,499 + GSTCheminformatics & QSAR ModellingUp to 4 weeks, about 32 hours live (customisable)Dry labfrom ₹4,499 + GSTComputer-Aided Drug Design: Screening, Pharmacophores & ADMETUp to 4 weeks, about 32 hours live (customisable)Dry labfrom ₹5,999 + GST
Computational Drug Discovery Internship Research services
Molecular Docking & Virtual ScreeningDocking studies and virtual screening with a validated protocol.QSAR & Cheminformatics ModellingCurated datasets and QSAR models validated to OECD principles.Structural BioinformaticsStructure assessment, binding sites, structure comparison and variants mapped to 3D.Collaborate