Current Research Programs

KAGB develops computational frameworks that integrate biological knowledge, multimodal artificial intelligence, and scientific reasoning to accelerate next-generation therapeutic discovery.

Research Programs

Biological GraphRAG

Graph-based retrieval and biological knowledge reasoning

Hybrid Biological Retrieval

Multi-view retrieval using sequence, structure, function, interfaces, and embeddings

Biological Memory

Persistent biological memory for continual scientific learning

Multimodal Biological Intelligence

Joint learning from sequences, structures, physicochemical properties, and biological networks

Generative Therapeutic Design

Knowledge-guided design of antibodies, proteins, and therapeutic peptides

Scientific AI Agents

Autonomous AI systems for biological reasoning and hypothesis generation

Current Research Applications

These research programs are designed as complementary components of a unified platform for knowledge-guided biological intelligence, enabling explainable and scalable AI solutions for therapeutic discovery.
  • Therapeutic Antibody Discovery
  • Protein Design
  • Therapeutic Peptides
  • Computational Immunology
  • Precision Therapeutics
  • AI for Drug Discovery

Technology Stack

Knowledge Graphs • Retrieval-Augmented Learning • Foundation Models • Graph Neural Networks • Cross-Attention • Contrastive Learning • Generative AI

Selected Publications