AI for Gene Editing & Biotechnology
Artificial intelligence is rewriting the boundaries of what is possible in genetic medicine. From designing CRISPR guides with single-base precision to predicting protein structures and discovering new drugs — our AI-driven biotechnology research accelerates discovery from decades to days.
The AI-Biology Revolution
From Sequences to Function
DNA language models trained on entire genomes learn the grammar of life — they predict how sequence changes affect gene expression, splicing, and protein function, enabling precise therapeutic targeting.
In Silico Clinical Trials
AI simulates gene edits across thousands of virtual genomes before any wet-lab work, predicting efficacy, safety, and population-specific outcomes — reducing the cost and risk of clinical development.
Generative Biology
Generative AI designs novel proteins, gene circuits, and synthetic genomes from scratch. Researchers specify desired functions and AI generates the genetic blueprints — a paradigm shift from discovery to creation.
AI Biotechnology Services
CRISPR Guide RNA Design
Deep learning models that design optimal guide RNAs with high on-target efficiency and minimal off-target effects across the entire genome, considering epigenetic context and chromatin accessibility.
- On-target efficiency prediction
- Genome-wide off-target scanning
- Epigenetic context modeling
- Multiplex gRNA library design
Protein Structure Prediction
Foundation models for protein folding, inverse folding, and binding affinity prediction — accelerating target identification and drug candidate screening from months to hours.
- AlphaFold / ESMFold inference
- Protein-ligand docking prediction
- Antibody design & optimization
- De novo protein generation
Genomic Foundation Models
DNA language models (Nucleotide Transformer, DNA-BERT) pre-trained on whole genomes for variant effect prediction, regulatory element discovery, and phenotype association studies.
- Variant effect prediction
- Regulatory element annotation
- Splice site & expression prediction
- Population genetics analysis
Drug Discovery Pipeline
End-to-end AI-driven drug discovery from target identification to lead optimization, leveraging molecular generation, ADMET prediction, and clinical trial outcome forecasting.
- Molecular generation (DiffDock)
- ADMET property prediction
- Clinical trial outcome modeling
- Repurposing & polypharmacology
Single-Cell Genomics
Deep learning on single-cell RNA-seq, ATAC-seq, and multi-omics data for cell type annotation, trajectory inference, and perturbation response prediction at single-cell resolution.
- Cell type annotation
- Trajectory & pseudotime inference
- Perturbation response prediction
- Multi-omics integration
Epigenetic Engineering
AI-guided design of epigenetic editors for targeted DNA methylation, histone modification, and chromatin remodeling — enabling gene regulation without altering the underlying sequence.
- Methylation pattern prediction
- Chromatin state modeling
- Epigenetic editor design
- Long-range regulatory effects
Real-World Applications
Therapeutic Gene Editing
CRISPR-based therapies for sickle cell disease, muscular dystrophy, cystic fibrosis, and inherited retinal disorders — with AI-optimized delivery vectors and editing strategies.
Vertex / CRISPR TherapeuticsAgricultural Genomics
Crop improvement through precision gene editing for drought resistance, enhanced yield, and nutritional optimization — accelerated by genomic prediction models.
Corteva / PairwiseSynthetic Biology
Design of synthetic gene circuits, metabolic pathways, and engineered organisms for bio-manufacturing of pharmaceuticals, materials, and biofuels.
Ginkgo Bioworks / ZymergenDiagnostics & Liquid Biopsy
AI-powered analysis of cell-free DNA, circulating tumor DNA, and RNA signatures for early cancer detection, monitoring, and minimal residual disease assessment.
Grail / Guardant HealthAI Models & Tools
Ready to Transform Biotechnology with AI?
Partner with our computational biology team to accelerate your gene editing, drug discovery, and genomic research programs.