AI and computational biology have fundamentally changed the pace of drug discovery and basic research. Protein interactions that once required months of biochemistry can now be predicted in hours; virtual screening campaigns that demanded millions in compound investment can be triaged computationally in days.
iCDMO's AI platform integrates four complementary areas — molecular simulation, AI screening, antibody & protein engineering, and bioinformatics — into a seamless service that bridges in silico prediction with wet-lab validation.
100–400 ns MD simulations for protein–protein, protein–ligand, and protein–membrane systems. RMSD, RMSF, hydrogen-bond occupancy, and MM/GBSA binding free energy analysis included.
AI-powered prediction of PPI interfaces, allosteric pockets, enzyme active sites, and protein–antibody epitopes. Confidence-ranked results with 3D PyMOL visualization.
Deep learning ensemble (RoseTTAFoldNA, AlphaFold3, ESMFold) for protein–DNA, protein–RNA, and intrinsically disordered region (IDR) interaction modeling.
iCDMO integrates the most advanced computational biology frameworks with proprietary scoring engines and wet-lab validation — delivering research-grade predictions that stand up to peer review and regulatory scrutiny.
Genome-wide PPI network screening to reveal novel druggable targets and functional interaction partners for your therapeutic area.
Virtual screening of multi-million compound libraries against AI-predicted binding sites — delivering ranked hits with predicted ADMET profiles.
Free-energy perturbation (FEP) and MM/GBSA-guided SAR cycle to improve potency, selectivity, and drug-likeness of lead series.
AI-guided nanobody and full-length IgG discovery, humanization, and affinity maturation — from antigen sequence to validated binder.
Multi-omics data fusion to identify robust biomarker panels for patient stratification, response prediction, and companion diagnostics.
Integrative bioinformatics analyses connecting genomic variants, expression changes, and protein function for mechanism-of-disease studies.
Note: All AI services are for research use only and not intended for diagnostic or therapeutic purposes. Turnaround times are estimates and depend on project complexity and data quality.
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