Matt McPartlon
Publications by Year
Research Areas
Protein Structure and Dynamics, Monoclonal and Polyclonal Antibodies Research, Enzyme Structure and Function, Machine Learning in Bioinformatics, Computational Drug Discovery Methods
Most-Cited Works
- → Chai-1: Decoding the molecular interactions of life(2024)302 cited
- → Improved protein structure prediction by deep learning irrespective of co-evolution information(2021)234 cited
- → Unlocking de novo antibody design with generative artificial intelligence(2023)79 cited
- → An end-to-end deep learning method for protein side-chain packing and inverse folding(2023)52 cited
- → Zero-shot antibody design in a 24-well plate(2025)22 cited
- → Deep Learning for Flexible and Site-Specific Protein Docking and Design(2023)21 cited
- → A Deep SE(3)-Equivariant Model for Learning Inverse Protein Folding(2022)21 cited
- → End-to-End deep structure generative model for protein design(2022)13 cited
- → An end-to-end deep learning method for rotamer-free protein side-chain packing(2022)5 cited