activity
20222026
most citedPredicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model

11 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2026

ProtDBench: A Unified Benchmark of Protein Binder Design and Evaluation

Cong Liu, Milong Ren, Jiaqi Guan +4

Recent advances in de novo protein binder design have enabled increasing experimental validation, yet reported in silico metrics remain difficult to interpret or compare across stu…

q-bio.QM2026

A-CODE: Fully Atomic Protein Co-Design with Unified Multimodal Diffusion

Chaoran Cheng, Jiaqi Guan, Milong Ren +5

We present A-CODE, a fully atomic unified one-stage protein co-design model that simultaneously refines discrete atom types and continuous atom coordinates. Unlike predominant two-…

cs.LG2024★ 1 cited

Improving Molecular Graph Generation with Flow Matching and Optimal Transport

Xiaoyang Hou, Tian Zhu, Milong Ren +4

Generating molecular graphs is crucial in drug design and discovery but remains challenging due to the complex interdependencies between nodes and edges. While diffusion models hav…

q-bio.BM2023★ 11 cited

Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model

Shiwei Liu, Tian Zhu, Milong Ren +3

Many crucial biological processes rely on networks of protein-protein interactions. Predicting the effect of amino acid mutations on protein-protein binding is vital in protein eng…

cs.LG2022

NIERT: Accurate Numerical Interpolation through Unifying Scattered Data Representations using Transformer Encoder

Shizhe Ding, Boyang Xia, Milong Ren +1

Interpolation for scattered data is a classical problem in numerical analysis, with a long history of theoretical and practical contributions. Recent advances have utilized deep ne…