Research

1) AI‑Driven Protein Design

We develop generative models and structure‑based pipelines (RFdiffusion, AlphaFold‑class predictors, protein language models) to design:

• Small binder proteins targeting PPI (Protein–Protein Interaction)

• Regulatory proteins that rewire cellular pathways

• Novel protein for genome editing

2) Advanced Genome Editing

Our lab engineers next‑generation CRISPR and prime‑editing systems by:

• Mining/Engineering reverse transcriptases and Cas variants

• Designing accessory proteins that enhance editing efficiency

• Profiling structural variants and genome‑wide outcomes

• Developing editors for large insertions, deletions, and complex rewrites

3) Closed‑Loop Evolution Platforms

We build automated pipelines combining:

• High‑throughput library generation

• Pooled functional screening

• Deep sequencing‑based readouts

• Active‑learning algorithms for iterative improvement

4) AI Infrastructure for Biomedicine

AIMBL maintains in‑house GPU workstations and cloud‑native pipelines to support:

• Large‑scale structure prediction

• Protein generation & design

• DNA/RNA sequence analysis