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

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

30 October 2023

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

9 / 9 papers shown

Title
Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions Xiaoran Jiao Weian Mao Wengong Jin Peiyuan Yang Hao Chen Chunhua Shen 28 0 0 12 Oct 2024
Active learning for energy-based antibody optimization and enhanced screening Kairi Furui Masahito Ohue 23 0 0 17 Sep 2024
Multi-level Interaction Modeling for Protein Mutational Effect Prediction Yuanle Mo Xin Hong Bowen Gao Yinjun Jia Yanyan Lan AI4CE 24 2 0 28 May 2024
Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning Lirong Wu Yijun Tian Haitao Lin Yufei Huang Siyuan Li Nitesh V. Chawla Stan Z. Li 33 4 0 16 May 2024
Revealing data leakage in protein interaction benchmarks Anton Bushuiev Roman Bushuiev Jiri Sedlar Tomáš Pluskal Jiří Damborský Stanislav Mazurenko Josef Sivic 23 3 0 16 Apr 2024
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 130 408 0 04 Oct 2022
Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval Pascal Notin M. Dias J. Frazer Javier Marchena-Hurtado Aidan N. Gomez D. Marks Y. Gal 53 176 0 27 May 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 217 164 0 06 Feb 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 394 0 10 Feb 2021