The End-to-End Drug Discovery Platform
Learning Resources
Guides
Step-by-step workflow guides covering high-throughput screening, platform
best practices and advanced use cases
Video Tutorials
Hands-on video walkthroughs for docking, co-folding, structure prediction,
target analysis and more
Changelog
Latest platform updates, new engine releases, performance improvements and
bug fixes
Platform Engines
RevOmics
Multi-omics and transcriptomics for target discovery
RevTarget
Structural biology, pocket detection and PTM analysis
RevBind
Docking, MD simulations and generative chemistry
RevQuant
Quantum chemistry and compound property prediction
RevSim
Virtual cell assays and biological perturbation models
RevLab
Experimental orchestration (Coming Soon)
RevIntel
Autonomous AI agent-driven research workflows
RevStudio
3D visualization, compound design and data management
RevOmics
Multi-omics target identification using single-cell transcriptomics, epigenomics, and genetic risk analysis.
RevSingleCell
scRNA-seq clustering, UMAP and cell type annotation
RevMethyl
DNA methylation and epigenomics profiling
RevRisk
Polygenic risk scoring, GWAS and genetic variant analysis
RevTarget
Structural analysis, druggable binding site detection, and post-translational modification profiling.
AlphaFold
Predict 3D protein structure from amino acid sequence
OpenFold
Open-source structure prediction and protein folding
RevPocket
Druggable binding site detection and allosteric pocket search
RevPhospho
Phosphorylation site prediction and kinase substrate mapping
RevBind
The full computational binding toolkit: molecular docking, MD simulations, cheminformatics analytics, and generative chemistry.
RevDock: Molecular Docking and Co-folding
RevScreen
Static, flexible and ensemble virtual screening at scale
Boltz2
Protein-ligand complex structure prediction via co-folding
BoltzGen
Generative structure-based binder design
RevAnalytics: Cheminformatics and SAR
RevQSAR
ML-powered QSAR and activity prediction models
RevPhore
3D pharmacophore modeling and shape-based screening
RevBench · Coming Soon
Docking protocol benchmarking and scoring evaluation
RevSynth: Generative Chemistry
RevDenovo
De novo molecular library generation with generative AI
RevOptimization · Coming Soon
Multi-objective lead optimization with reinforcement learning
RevTrain · Coming Soon
Custom generative model fine-tuning for focused libraries
RevDynamics: Molecular Dynamics Simulations
RevMD-Aqua
Protein-water MD for stability and conformational sampling
RevMD-Bind
Protein-ligand MD, binding kinetics and MM-GBSA
RevMD-Mem
Ligand-membrane permeability MD for GPCR targets
RevFEP: Free Energy Perturbation
RevFEP
Relative and absolute binding free energy (RBFE / ABFE)
RevMut-PMX
Protein mutation stability and binding affinity change (PMX)
RevQuant
Quantum chemistry, ADMET profiling, retrosynthetic planning, and quantum simulation across eight specialized tools.
RevGeometry
DFT geometry optimization and energy minimization
RevOrbitals
HOMO-LUMO and frontier orbital analysis
RevSol
Aqueous solubility and solvation prediction
RevADMET
Full ADMET profiling: PK, toxicity and drug-likeness
RevConformer
Low-energy 3D conformational ensemble generation
RevRetro
AI retrosynthetic route planning and synthetic accessibility
RevQS
Quantum simulation for binding energy and protein folding
RevTS
Transition state search and reaction activation energy
RevSim
Virtual cell biology: in silico perturbation models and high-content assay simulation across the full drug discovery pipeline.
RevPerturb: Cell Perturbation Modeling
RevViability
Virtual IC50 and dose-response cell viability prediction
RevGRN
Gene regulatory network modeling and perturbation analysis
RevPerturbSeq · Coming Soon
Perturbation sequencing: single-cell CRISPR screen analysis and causal GRN
inference
RevAssay: Virtual Assay Suite
Cell Death
Apoptosis, necrosis and caspase cascade prediction
Cytokine Release
IL-6, TNF-a and cytokine storm immunotoxicity profiling
Pathway Activation
mTOR, MAPK and PI3K downstream signaling analysis
Migration / Invasion
Cancer cell motility, wound healing and transwell invasion
Proliferation (GR)
Growth rate inhibition metrics and GR50 antiproliferative analysis
RevLab: Experimental Orchestration
These experimental orchestration modules are in active development and will
launch soon.
Biochemical Assays · Coming Soon
Enzyme inhibition, fluorescence and luminescence-based biochemical screening
automation
In Vitro Assays · Coming Soon
High-content cell-based phenotypic imaging and in vitro screening workflows
Molecule Synthesis · Coming Soon
Automated synthesis routing, compound ordering and ELN integration
RevIntel
RevAgent: AI Research Co-Scientist
An autonomous AI agent that orchestrates multi-step drug discovery workflows
across all Revilico engines, synthesizing findings, generating hypotheses, and
producing structured research reports from target identification through to
lead candidates.
RevStudio
Design, visualize, and manage your research data across the entire drug discovery pipeline.
Rev3D Viz
Interactive 3D molecular and structural visualization
RevCompound Design
Structure-based compound design and editing workspace
RevCompound Review
Multi-property compound triage and review interface
RevScan
AI-powered literature and patent scanning
RevData: Data Management
RevDrive
Centralized cloud storage for all experimental and computational data
RevEdit
Collaborative data editing, annotation and review workflows
RevNotes
Structured scientific notebooks for reproducible research
Solutions
End-to-end workflows combining multiple Revilico engines to solve real-world drug discovery challenges, from first hypothesis to IND-ready candidate.
Target Identification
Multi-omics analysis, structural hypotheses, pocket druggability and
therapeutic cell line selection
Hit Identification
Virtual screening, binding mechanism resolution and compound library
prioritization
Hit to Lead
Scaffold expansion, multi-parameter optimization and metabolite-inspired
design
Lead Optimization
Deep characterization, ADMET profiling, toxicity risk and synthetic route
planning
Operational Efficiency
Cross-team collaboration, reproducibility, version control and pipeline
transparency