11 citations · 20 across the 3 of their papers we have counts for
3 papers
q-bio.QM2026
Fold-CP: A Context Parallelism Framework for Biomolecular Modeling
Dejun Lin, Simon Chu, Vishanth Iyer +35
Understanding cellular machinery requires atomic-scale reconstruction of large biomolecular assemblies. However, predicting the structures of these systems has been constrained by…
cs.LG2024★ 11 cited
BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery
Peter St. John, Dejun Lin, Polina Binder +89
Artificial Intelligence models encoding biology and chemistry are opening new routes to high-throughput and high-quality in-silico drug development. However, their training increas…
cs.LG2023★ 9 cited
Reinforcement Learning-Driven Linker Design via Fast Attention-based Point Cloud Alignment
Rebecca M. Neeser, Mehmet Akdel, Daniel Kovtun +1
Proteolysis-Targeting Chimeras (PROTACs) represent a novel class of small molecules which are designed to act as a bridge between an E3 ligase and a disease-relevant protein, there…