Aryan Bhasin

This paper compares chemical descriptors and deep learning embeddings for scoring de novo peptide designs, finding classical descriptors are effective and efficient for developability prediction.

The paper introduces CoV-UniBind, a unified database of SARS-CoV-2 antibody-antigen interactions, and benchmarks models for antibody design and vaccine development.

The paper benchmarks nine protein folding models on 20 monomeric proteins, showing Chai-1 excels in recovering conformations and capturing dynamics for Adenylate Kinase.