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Learning to design drug-like molecules in three-dimensional space using
  deep generative models

Learning to design drug-like molecules in three-dimensional space using deep generative models

17 April 2021
Yibo Li
Jianfeng Pei
L. Lai
    DiffM
ArXivPDFHTML

Papers citing "Learning to design drug-like molecules in three-dimensional space using deep generative models"

38 / 38 papers shown
Title
Resource Governance in Networked Systems via Integrated Variational
  Autoencoders and Reinforcement Learning
Resource Governance in Networked Systems via Integrated Variational Autoencoders and Reinforcement Learning
Qiliang Chen
Babak Heydari
DRL
32
0
0
30 Oct 2024
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced
  Tabletability
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability
Nina Gubina
Andrei Dmitrenko
Gleb Solovev
Lyubov Yamshchikova
Oleg Petrov
Ivan Lebedev
N. Serov
Grigorii Kirgizov
Nikolay Nikitin
Vladimir Vinogradov
23
0
0
22 Oct 2024
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
Jiaqing Xie
Yue Zhao
33
0
0
02 Oct 2024
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
Rafał Karczewski
Samuel Kaski
Markus Heinonen
Vikas K. Garg
33
0
0
12 Aug 2024
Guided Multi-objective Generative AI to Enhance Structure-based Drug Design
Guided Multi-objective Generative AI to Enhance Structure-based Drug Design
Amit Kadan
Kevin Ryczko
Erika Lloyd
A. Roitberg
Takeshi Yamazaki
87
1
0
20 May 2024
Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks
Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks
Yuxuan Song
Jingjing Gong
Yanru Qu
Hao Zhou
Mingyue Zheng
Jingjing Liu
Wei-Ying Ma
33
10
0
17 Mar 2024
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based
  Drug Design
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
Jiaqi Guan
Xiangxin Zhou
Yuwei Yang
Yu Bao
Jian-wei Peng
Jianzhu Ma
Qiang Liu
Liang Wang
Quanquan Gu
27
68
0
26 Feb 2024
FREED++: Improving RL Agents for Fragment-Based Molecule Generation by
  Thorough Reproduction
FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction
Alexander Telepov
Artem Tsypin
Kuzma Khrabrov
Sergey Yakukhnov
Pavel Strashnov
...
Egor Rumiantsev
Daniel Ezhov
Manvel Avetisian
Olga Popova
Artur Kadurin
25
4
0
18 Jan 2024
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
Zhilin Huang
Ling Yang
Zaixi Zhang
Xiangxin Zhou
Yu Bao
Xiawu Zheng
Yuwei Yang
Yu Wang
Wenming Yang
DiffM
37
8
0
15 Jan 2024
Autoregressive fragment-based diffusion for pocket-aware ligand design
Autoregressive fragment-based diffusion for pocket-aware ligand design
Mahdi Ghorbani
Leo Gendelev
Paul Beroza
Michael J. Keiser
DiffM
23
8
0
15 Dec 2023
Equivariant Flow Matching with Hybrid Probability Transport
Equivariant Flow Matching with Hybrid Probability Transport
Yuxuan Song
Jingjing Gong
Minkai Xu
Ziyao Cao
Yanyan Lan
Stefano Ermon
Hao Zhou
Wei-Ying Ma
DiffM
28
45
0
12 Dec 2023
Docking-based generative approaches in the search for new drug
  candidates
Docking-based generative approaches in the search for new drug candidates
Tomasz Danel
Jan Leski
Sabina Podlewska
Igor T. Podolak
19
22
0
22 Nov 2023
ChemSpaceAL: An Efficient Active Learning Methodology Applied to
  Protein-Specific Molecular Generation
ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation
Gregory W. Kyro
Anton Morgunov
Rafael I. Brent
Victor S. Batista
30
12
0
11 Sep 2023
A Systematic Survey in Geometric Deep Learning for Structure-based Drug
  Design
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design
Zaixin Zhang
Jiaxian Yan
Qi Liu
Enhong Chen
Marinka Zitnik
32
1
0
20 Jun 2023
Generation of 3D Molecules in Pockets via Language Model
Generation of 3D Molecules in Pockets via Language Model
Wei Feng
L. Wang
Zaiyun Lin
Yanhao Zhu
Han Wang
...
Huting Wang
Jielong Zhou
Wei Peng
Bo Huang
Wenbiao Zhou
31
12
0
17 May 2023
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule
  Diffusion Generation
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
Xingang Peng
Jiaqi Guan
Qiang Liu
Jianzhu Ma
DiffM
33
43
0
11 May 2023
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation
  in 3D
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
Bo Qiang
Yuxuan Song
Minkai Xu
Jingjing Gong
B. Gao
Hao Zhou
Weiying Ma
Yanyan Lan
DiffM
42
18
0
05 May 2023
Geometric Latent Diffusion Models for 3D Molecule Generation
Geometric Latent Diffusion Models for 3D Molecule Generation
Minkai Xu
Alexander Powers
R. Dror
Stefano Ermon
J. Leskovec
DiffM
AI4CE
55
134
0
02 May 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
31
141
0
11 Apr 2023
Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search
  Applications
Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications
Marco Kemmerling
Daniel Lutticke
Robert H. Schmitt
24
14
0
14 Mar 2023
3D Equivariant Diffusion for Target-Aware Molecule Generation and
  Affinity Prediction
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
Jiaqi Guan
Wesley Wei Qian
Xingang Peng
Yufeng Su
Jian-wei Peng
Jianzhu Ma
DiffM
23
162
0
06 Mar 2023
GraphVF: Controllable Protein-Specific 3D Molecule Generation with
  Variational Flow
GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow
Fangce Sun
Zhihao Zhan
Hongyu Guo
Ming Zhang
Jian Tang
26
6
0
23 Feb 2023
Multi-Constraint Molecular Generation using Sparsely Labelled Training
  Data for Localized High-Concentration Electrolyte Diluent Screening
Multi-Constraint Molecular Generation using Sparsely Labelled Training Data for Localized High-Concentration Electrolyte Diluent Screening
J. Mailoa
Xin Li
J. Qiu
Shengyu Zhang
15
0
0
12 Jan 2023
Protein-Ligand Complex Generator & Drug Screening via Tiered Tensor
  Transform
Protein-Ligand Complex Generator & Drug Screening via Tiered Tensor Transform
J. Mailoa
Zhaofeng Ye
J. Qiu
Chang-Yu Hsieh
Shengyu Zhang
24
3
0
03 Jan 2023
Structure-based drug discovery with deep learning
Structure-based drug discovery with deep learning
Rıza Özçelik
D. V. Tilborg
José Jiménez-Luna
F. Grisoni
AI4CE
19
35
0
26 Dec 2022
Reinforced Genetic Algorithm for Structure-based Drug Design
Reinforced Genetic Algorithm for Structure-based Drug Design
Tianfan Fu
Wenhao Gao
Connor W. Coley
Jimeng Sun
25
51
0
28 Nov 2022
Structure-based Drug Design with Equivariant Diffusion Models
Structure-based Drug Design with Equivariant Diffusion Models
Arne Schneuing
Yuanqi Du
Charles Harris
Arian R. Jamasb
Ilia Igashov
...
Pietro Lió
Carla P. Gomes
Max Welling
Michael M. Bronstein
B. Correia
DiffM
31
193
0
24 Oct 2022
Structure-based drug design with geometric deep learning
Structure-based drug design with geometric deep learning
Clemens Isert
Kenneth Atz
G. Schneider
44
104
0
19 Oct 2022
Artificial Intelligence in Material Engineering: A review on
  applications of AI in Material Engineering
Artificial Intelligence in Material Engineering: A review on applications of AI in Material Engineering
Lipichanda Goswami
Manoj Deka
Mohendra Roy
AI4CE
31
19
0
15 Sep 2022
Widely Used and Fast De Novo Drug Design by a Protein Sequence-Based
  Reinforcement Learning Model
Widely Used and Fast De Novo Drug Design by a Protein Sequence-Based Reinforcement Learning Model
Yaqin Li
Lingli Li
Yongjin Xu
Yi Yu
17
0
0
14 Aug 2022
PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive
  Molecular Generation
PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular Generation
Hui Zhu
Renyi Zhou
Jing Tang
Min Li
BDL
13
4
0
02 Jul 2022
Cluster Generation via Deep Energy-Based Model
Cluster Generation via Deep Energy-Based Model
A. Y. Artsukevich
S. Lepeshkin
21
0
0
17 Jun 2022
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Xingang Peng
Shitong Luo
Jiaqi Guan
Qi Xie
Jian-wei Peng
Jianzhu Ma
25
176
0
15 May 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for
  Molecule Design
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Yuanqi Du
Tianfan Fu
Jimeng Sun
Shengchao Liu
AI4CE
25
86
0
28 Mar 2022
Learning a Continuous Representation of 3D Molecular Structures with
  Deep Generative Models
Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models
Matthew Ragoza
Tomohide Masuda
D. Koes
DiffM
MedIm
67
31
0
17 Oct 2020
3DMolNet: A Generative Network for Molecular Structures
3DMolNet: A Generative Network for Molecular Structures
V. Nesterov
Mario Wieser
Volker Roth
AI4CE
164
33
0
08 Oct 2020
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation
  Models
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
...
Simon Johansson
Hongming Chen
Sergey I. Nikolenko
Alán Aspuru-Guzik
Alex Zhavoronkov
ELM
179
633
0
29 Nov 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,337
0
12 Feb 2018
1