ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.14442
  4. Cited By
Generating 3D Molecular Structures Conditional on a Receptor Binding
  Site with Deep Generative Models

Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models

16 October 2020
Tomohide Masuda
Matthew Ragoza
D. Koes
    DiffM
ArXivPDFHTML

Papers citing "Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models"

30 / 30 papers shown
Title
A 3D pocket-aware and affinity-guided diffusion model for lead optimization
A 3D pocket-aware and affinity-guided diffusion model for lead optimization
Anjie Qiao
Junjie Xie
W. R. Huang
Hao Zhang
Jiahua Rao
Shuangjia Zheng
Yuedong Yang
Z. Wang
Guo-Bo Li
J. Lei
DiffM
MedIm
38
0
0
29 Apr 2025
The Latent Road to Atoms: Backmapping Coarse-grained Protein Structures
  with Latent Diffusion
The Latent Road to Atoms: Backmapping Coarse-grained Protein Structures with Latent Diffusion
Xu Han
Yuancheng Sun
Kai Chen
Kang Liu
Qiwei Ye
DiffM
AI4CE
24
0
0
17 Oct 2024
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
Haitao Lin
Guojiang Zhao
Odin Zhang
Yufei Huang
Lirong Wu
Zicheng Liu
Siyuan Li
Cheng Tan
Zhifeng Gao
Stan Z. Li
29
3
0
16 Jun 2024
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
Yanru Qu
Keyue Qiu
Yuxuan Song
Jingjing Gong
Jiawei Han
Mingyue Zheng
Hao Zhou
Wei-Ying Ma
33
18
0
18 Apr 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
35
10
0
17 Mar 2024
PPFlow: Target-aware Peptide Design with Torsional Flow Matching
PPFlow: Target-aware Peptide Design with Torsional Flow Matching
Haitao Lin
Odin Zhang
Huifeng Zhao
Dejun Jiang
Lirong Wu
Zicheng Liu
Yufei Huang
Stan Z. Li
51
12
0
05 Mar 2024
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided
  Diffusion
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
Bowen Gao
Minsi Ren
Yuyan Ni
Yanwen Huang
Bo Qiang
Zhiming Ma
Wei-Ying Ma
Yanyan Lan
34
4
0
04 Mar 2024
Structure-Based Drug Design via 3D Molecular Generative Pre-training and
  Sampling
Structure-Based Drug Design via 3D Molecular Generative Pre-training and Sampling
Yuwei Yang
Siqi Ouyang
Xueyu Hu
Mingyue Zheng
Hao Zhou
Lei Li
32
1
0
22 Feb 2024
A Survey of Generative AI for de novo Drug Design: New Frontiers in
  Molecule and Protein Generation
A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation
Xiangru Tang
Howard Dai
Elizabeth Knight
Fang Wu
Yunyang Li
Tianxiao Li
Mark B. Gerstein
24
25
0
13 Feb 2024
Diffusion-based Graph Generative Methods
Diffusion-based Graph Generative Methods
Hongyang Chen
Can Xu
Lingyu Zheng
Qiang Zhang
Xuemin Lin
DiffM
MedIm
29
0
0
28 Jan 2024
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
30
45
0
12 Dec 2023
Delta Score: Improving the Binding Assessment of Structure-Based Drug
  Design Methods
Delta Score: Improving the Binding Assessment of Structure-Based Drug Design Methods
Minsi Ren
Bowen Gao
Bo Qiang
Yanyan Lan
12
0
0
01 Nov 2023
TacoGFN: Target-conditioned GFlowNet for Structure-based Drug Design
TacoGFN: Target-conditioned GFlowNet for Structure-based Drug Design
Tony Shen
Seonghwan Seo
Grayson Lee
Mohit Pandey
Jason R. Smith
Artem Cherkasov
Woo Youn Kim
Martin Ester
91
0
0
05 Oct 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
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation
  and Elaboration
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
Haitao Lin
Yufei Huang
Haotian Zhang
Lirong Wu
Siyuan Li
Zhiyuan Chen
Stan Z. Li
DiffM
14
23
0
30 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
135
0
02 May 2023
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix
  Embedding
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding
Zhangyang Gao
Yuqi Hu
Cheng Tan
Stan Z. Li
31
13
0
14 Feb 2023
A Survey on Protein Representation Learning: Retrospect and Prospect
A Survey on Protein Representation Learning: Retrospect and Prospect
Lirong Wu
Yu-Feng Huang
H. Lin
Stan Z. Li
AI4TS
26
12
0
31 Dec 2022
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
Haitao Lin
Yufei Huang
Odin Zhang
Siqi Ma
Meng Liu
X. Li
Lirong Wu
Shuiwang Ji
Tingjun Hou
Stan Z. Li
DiffM
21
60
0
21 Nov 2022
Innovative Drug-like Molecule Generation from Flow-based Generative
  Model
Innovative Drug-like Molecule Generation from Flow-based Generative Model
Haotian Zhang
Lin Wan
17
0
0
12 Nov 2022
Tailoring Molecules for Protein Pockets: a Transformer-based Generative
  Solution for Structured-based Drug Design
Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design
Kehan Wu
Yingce Xia
Yang Fan
Pan Deng
Haiguang Liu
Lijun Wu
Shufang Xie
Tong Wang
Tao Qin
Tie-Yan Liu
17
2
0
30 Aug 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
27
176
0
15 May 2022
In-Pocket 3D Graphs Enhance Ligand-Target Compatibility in Generative
  Small-Molecule Creation
In-Pocket 3D Graphs Enhance Ligand-Target Compatibility in Generative Small-Molecule Creation
Seung-gu Kang
J. Weber
Joseph A. Morrone
Leili Zhang
T. Huynh
Wendy D. Cornell
DiffM
13
3
0
05 Apr 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
31
86
0
28 Mar 2022
A 3D Generative Model for Structure-Based Drug Design
A 3D Generative Model for Structure-Based Drug Design
Shitong Luo
Jiaqi Guan
Jianzhu Ma
Jian-wei Peng
DiffM
67
178
0
20 Mar 2022
Molecule Generation for Drug Design: a Graph Learning Perspective
Molecule Generation for Drug Design: a Graph Learning Perspective
Nianzu Yang
Huaijin Wu
Xiaoyong Pan
Ye Yuan
Junchi Yan
19
13
0
18 Feb 2022
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Hannes Stärk
O. Ganea
L. Pattanaik
Regina Barzilay
Tommi Jaakkola
22
262
0
07 Feb 2022
De Novo Molecular Generation with Stacked Adversarial Model
De Novo Molecular Generation with Stacked Adversarial Model
Yuansan Liu
James Bailey
GAN
BDL
11
1
0
24 Oct 2021
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
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,338
0
12 Feb 2018
1