Abhinav Gupta

SNAC-DB: An ML-Ready Database for Antibody and NANOBODY(R) VHH-Antigen Complexes with Expanded Structural Diversity and Real-World Benchmarking

The paper introduces SNAC-DB, a database with expanded structural diversity for antibody and NANOBODY VHH-antigen complexes, and benchmarks seven models showing limited accuracy and ranking issues.

Active Learning for Protein Structure Prediction

The paper applies a novel active learning strategy, DEW-DROP, to improve protein structure prediction efficiency and data selection for two protein datasets.

Learning the Language of Antibody Hypervariability

This paper introduces AbMAP, a transfer learning framework for antibody sequence analysis, showing it can predict structure, binding, and paratope with high accuracy and enable antibody optimization.