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AI & Bioinformatics
AI & Bioinformatics Platform

AI-Driven Computational
Biology Services

iCDMO deploys state-of-the-art deep learning models — AlphaFold3, RoseTTAFold, ESMFold, and proprietary ensemble frameworks — to deliver atomic-precision predictions for protein interactions, antibody engineering, virtual screening, and multi-omics analysis at speed impossible with traditional experiments.

Molecular SimulationAI ScreeningAntibody EngineeringBioinformatics
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10M+
Protein Pairs Analyzed
100+
Species Covered
4
AI Platforms
95%+
Prediction Accuracy
5 Days
Standard Turnaround
What We Offer

End-to-End Computational Biology Platform Across Four Specialist Areas

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.

Suitable For
Drug target identification and protein interaction mapping
Virtual screening of multi-million compound libraries
Antibody / nanobody discovery and affinity maturation
Enzyme engineering and directed evolution guided by ML
CRISPR guide RNA design with off-target risk scoring
Bulk and single-cell RNA-seq analysis (DEG, cell annotation)
Genome variant calling (WES/WGS) and functional annotation
Multi-omics integration and biomarker panel identification
Molecular Simulation
AlphaFold3 · RoseTTAFold · ESMFold
AI Prediction
10M+
Protein Pairs Analyzed

iCDMO's protein interaction database — built using ensemble AI models across 100+ species — enables rapid comparative interaction analysis and template-guided prediction for any novel target.

Fast Turnaround
GPU cluster · HPC · Rapid delivery
Rapid Delivery
5
days
Standard Analysis Turnaround

GPU-accelerated HPC infrastructure (1,000+ cores) delivers most protein interaction predictions, virtual screening results, and bioinformatics analyses in 3–5 business days, with complex projects within 2–3 weeks.

Wet-lab Validation
SPR · Y2H · EMSA · Co-IP · MST
Wet-Lab Validated
95%+
Prediction Accuracy (Benchmarked)

All AI predictions are benchmarked against known experimental datasets. Our unique in-house wet-lab validation capability — SPR, Y2H, EMSA, Co-IP, MST — provides seamless in silico-to-bench confirmation.

How It Works

From Consultation to Validated Results

01
01

Scientific Consultation

Discuss research objectives and data availability with AI science team
Define target/question, expected outputs, and timeline
Free feasibility assessment for novel or complex targets
Recommendation of optimal AI platform and analysis strategy
02
02

Customized Solution Design

Bespoke pipeline designed for your biological question and data type
Selection of AI algorithms, force fields, and validation benchmarks
Detailed technical proposal with milestones and deliverable list
Project timeline and pricing confirmation within 48 hours
03
03

Data Preparation & QC

Client data upload via secure FTP or cloud portal
Sequence/structure format validation and quality control
Protein construct optimization for computational tractability
Reference dataset curation and benchmark parameter setting
04
04

AI Computation

Execution on GPU-accelerated HPC cluster (1,000+ cores)
Ensemble model runs with statistical quality checkpoints
Real-time project status updates via client portal
Intermediate result review and direction adjustment if needed
05
05

Results, Report & Support

Comprehensive written report with annotated figures and tables
3D structure files, ranked hit lists, and confidence scores
Biological interpretation and experimental follow-up recommendations
Ongoing support for manuscript preparation and data queries
Technology Stack

Powered by the World's Leading AI Algorithms

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.

AlphaFold2-Multimer & AlphaFold3 for protein complex structure prediction
RoseTTAFold & RoseTTAFoldNA for protein–nucleic acid modeling
ESMFold & ESM2 embeddings for rapid large-scale structure prediction
AMBER22, GROMACS 2024, and NAMD3 for molecular dynamics simulation
Glide XP, AutoDock Vina, and HADDOCK3 for molecular docking
DeepPurpose & MolBERT for ADMET and drug–target interaction prediction

Integrated Wet-Lab Validation

Yeast Two-Hybrid (Y2H)PPI & binding interface validation
EMSA & DNase FootprintingProtein–DNA interaction confirmation
RIP-seq / CLIP-seqProtein–RNA interaction mapping
SPR & Bio-Layer InterferometryBinding kinetics (kon, koff, KD)
MST & ITCThermodynamic binding characterization
AlphaScreen & TR-FRETHigh-throughput PPI screening
Co-IP & GST Pull-downComplex formation confirmation
Applications

Where iCDMO AI Makes the Difference

Drug Target Identification

Genome-wide PPI network screening to reveal novel druggable targets and functional interaction partners for your therapeutic area.

Hit Identification & Triage

Virtual screening of multi-million compound libraries against AI-predicted binding sites — delivering ranked hits with predicted ADMET profiles.

Lead Optimization

Free-energy perturbation (FEP) and MM/GBSA-guided SAR cycle to improve potency, selectivity, and drug-likeness of lead series.

Antibody Discovery & Design

AI-guided nanobody and full-length IgG discovery, humanization, and affinity maturation — from antigen sequence to validated binder.

Biomarker Discovery

Multi-omics data fusion to identify robust biomarker panels for patient stratification, response prediction, and companion diagnostics.

Translational Research

Integrative bioinformatics analyses connecting genomic variants, expression changes, and protein function for mechanism-of-disease studies.

Platform Comparison & Turnaround

PlatformKey CapabilityTurnaroundValidation Method
Molecular SimulationMD trajectories, binding free energy3–10 daysSPR, ITC, MST
AI Protein InteractionPPI, binding site, protein–nucleic acid3–5 daysY2H, Co-IP, EMSA
Virtual ScreeningCompound prioritization, ADMET prediction5–10 daysAlphaScreen, FP
Antibody EngineeringVHH discovery, humanization, CDR maturation2–4 weeksYeast display, SPR
Enzyme EngineeringML fitness landscape, variant design1–3 weeksActivity assay, Tm
BioinformaticsNGS, multi-omics, biomarker discovery5–15 daysqPCR, IHC, western

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.

Free Technical Consultation

Share your research question and our AI scientists will recommend the best platform and provide a no-obligation technical proposal within 24 hours.

Contact Us Online Consultation

Standard Deliverables

Full written analysis report (PDF)
3D structure files (PDB/CIF format)
Ranked hit lists with confidence scores
Binding affinity / energy calculations
Publication-quality figures & tables
Experimental validation recommendations

Quick Inquiry

Ready to Accelerate Your Research with AI?

Our scientific team responds within 24 hours with a detailed technical proposal and pricing tailored to your target and timeline.

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