Compute · Design · Analysis · Insights
Powered by 41+ AI models, covering the full R&D chain from computation to insights.
R&D Service Matrix
Compute
Dry-computing Pipelines
- Protein Engineering Dry-lab Design
- Gene Editing System Design
- mRNA Vaccine/Drug Design
- AI Drug Virtual Screening
- Custom Bioinformatics Pipeline Development
Design
Experiment & Scheme Design
- Mutant Combination Scheme Design
- gRNA Target & Off-target Assessment
- UTR/CDS Sequence Optimization
- Molecular Docking & Binding Mode Prediction
- Multi-omics Analysis Pipeline Customization
Analysis
Data Analysis & Interpretation
- WGS/WES Variant Interpretation & VUS Scoring
- Cancer Full-loop Analysis (Screening→Medication→MRD)
- Multi-omics Data Integration Analysis
- Chinese Population Pan-genome Optimized Interpretation
- Target Discovery & Druggability Assessment
Insights
Insights & Decision Support
- Multi-model Cross-validation Consensus Report
- Inter-pipeline Synergy Recommendation
- Drug R&D Path Planning
- Precision Medicine Clinical Decision Support
- Annual AI Re-analysis & Trend Tracking
Main Compute Pipelines
Protein Engineering
From sequence to mutant, 7-step full process. Four-model enzyme activity cross-validation, single-model error 30-50%, trusted only when all four agree.
Gene Editing System Design
gRNA design + whole-genome off-target scanning + gene optimization. Supports three Cas variants, gene optimization 4.93s/326aa.
mRNA Vaccine / Drug Design
CDS + 5'UTR + 3'UTR full coverage. GEMORNA three modules, three-tier UTR for different expression needs. Immunogenicity assessed at design stage.
Precision Oncology
Genetic risk → screening → medication → MRD monitoring → neoantigen prediction, full loop. VUS triple-model scoring, traditional methods only label "variant of uncertain significance".
AI Drug Virtual Screening
Target → binding pocket → molecular docking → candidate molecule, end-to-end. TorchANI neural network potential accuracy approaches DFT.
Custom Bioinformatics Pipeline Development
639 scripts + 11 core model repositories, rapid assembly. Docker containerized delivery, clients can run independently.
Pipeline Synergy—one project may involve multiple pipelines working together
Your Needs, Our Drive!
Universities & Research Institutes
Biomedical Enterprises
Hospitals & Public Health Institutions
Government & Regional Projects
Independent Researchers
Our Core Advantages
Multi-model Cross-validation
Four-model enzyme activity cross-validation, VUS triple-model cross-scoring. Single-model error can reach 30-50%, multi-model consensus is trustworthy.
Chinese Population Optimization
Genos trained on 636 Chinese population pan-genomes. HLA-B*1502, ALDH2 and other East Asia-specific high-risk markers are barely covered by Western services.
Flexible Cost Structure
Start with just 1 project, no team needed. Same delivery quality at 1/4 to 1/6 the cost of an in-house team. Pay per project, deliver per result.
Cooperation
Flexible choice, combine as needed.
Computing Service
Contract cooperation, deliver per project!
Per client R&D needs, design compute pipelines and provide computing services and deliverables.
Private Platform Deployment
For institutions needing their own computing capacity
Turn-key compute pipeline platform, annual tech support subscription.
Model Training & Fine-tuning
For institutions needing their own dedicated models
Train or fine-tune dedicated AI models on client data, deliver model weights and inference pipelines.