Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation?

14 February 2023

Papers citing "Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation?"

5 / 5 papers shown

Title
RapidDock: Unlocking Proteome-scale Molecular Docking Rafał Powalski Bazyli Klockiewicz Maciej Jaśkowski Bartosz Topolski Paweł Dąbrowski-Tumański Maciej Wiśniewski Łukasz Kuciński Piotr Miłoś Dariusz Plewczynski 24 0 0 16 Oct 2024
REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring Taewon Kim Hyunjin Seo Sungsoo Ahn Eunho Yang AI4CE 32 1 0 04 Oct 2024
Molecular Conformation Generation via Shifting Scores Zihan Zhou Ruiying Liu Chaolong Ying Ruimao Zhang Tianshu Yu DiffM 29 2 0 12 Sep 2023
CoarsenConf: Equivariant Coarsening with Aggregated Attention for Molecular Conformer Generation Danny Reidenbach Aditi S. Krishnapriyan 27 7 0 26 Jun 2023
Infinite Physical Monkey: Do Deep Learning Methods Really Perform Better in Conformation Generation? Haotian Zhang Jintu Zhang Huifeng Zhao Dejun Jiang Yafeng Deng 22 1 0 08 Mar 2023