A 3D Generative Model for Structure-Based Drug Design

20 March 2022

Papers citing "A 3D Generative Model for Structure-Based Drug Design"

22 / 22 papers shown

Title
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery Xiuyuan Hu Guoqing Liu Can Chen Yang Zhao Jun Wang Xue Liu 74 2 0 07 Feb 2025
BoKDiff: Best-of-K Diffusion Alignment for Target-Specific 3D Molecule Generation Ali Khodabandeh Yalabadi Mehdi Yazdani-Jahromi O. Garibay 72 0 0 28 Jan 2025
Guided Multi-objective Generative AI to Enhance Structure-based Drug Design Amit Kadan Kevin Ryczko Erika Lloyd A. Roitberg Takeshi Yamazaki 118 1 0 20 May 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications Jiaqi Han Jiacheng Cen Liming Wu Zongzhao Li Xiangzhe Kong ... Zhewei Wei Deli Zhao Yu Rong Wenbing Huang Wenbing Huang AI4CE 110 23 0 01 Mar 2024
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 237 30,089 0 01 Mar 2022
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design Wengong Jin Jeremy Wohlwend Regina Barzilay Tommi Jaakkola 48 138 0 09 Oct 2021
Symmetry-Aware Actor-Critic for 3D Molecular Design G. Simm Robert Pinsler Gábor Csányi José Miguel Hernández-Lobato AI4CE 58 65 0 25 Nov 2020
Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models Matthew Ragoza Tomohide Masuda D. Koes DiffM MedIm 106 31 0 17 Oct 2020
Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models Tomohide Masuda Matthew Ragoza D. Koes DiffM 54 53 0 16 Oct 2020
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics G. Simm Robert Pinsler José Miguel Hernández-Lobato AI4CE 48 83 0 18 Feb 2020
Multi-Objective Molecule Generation using Interpretable Substructures Wengong Jin Regina Barzilay Tommi Jaakkola 57 23 0 08 Feb 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 158 438 0 26 Jan 2020
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules Niklas W. A. Gebauer M. Gastegger Kristof T. Schütt 104 208 0 02 Jun 2019
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 274 902 0 07 Jun 2018
Constrained Graph Variational Autoencoders for Molecule Design Qi Liu Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt BDL 65 456 0 23 May 2018
Learning Deep Generative Models of Graphs Yujia Li Oriol Vinyals Chris Dyer Razvan Pascanu Peter W. Battaglia GNN AI4CE 174 661 0 08 Mar 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 331 1,367 0 12 Feb 2018
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions Kristof T. Schütt Pieter-Jan Kindermans Huziel Enoc Sauceda Felix Stefan Chmiela A. Tkatchenko K. Müller 140 1,074 0 26 Jun 2017
Molecular Generation with Recurrent Neural Networks (RNNs) E. Bjerrum Richard Threlfall 55 112 0 12 May 2017
Grammar Variational Autoencoder Matt J. Kusner Brooks Paige José Miguel Hernández-Lobato BDL DRL 75 840 0 06 Mar 2017
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 147 2,921 0 07 Oct 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 424 16,944 0 20 Dec 2013