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MARS: Markov Molecular Sampling for Multi-objective Drug Discovery

MARS: Markov Molecular Sampling for Multi-objective Drug Discovery

18 March 2021
Yutong Xie
Chence Shi
Hao Zhou
Yuwei Yang
Weinan Zhang
Yong Yu
Lei Li
ArXivPDFHTML

Papers citing "MARS: Markov Molecular Sampling for Multi-objective Drug Discovery"

50 / 88 papers shown
Title
LLM-Augmented Chemical Synthesis and Design Decision Programs
LLM-Augmented Chemical Synthesis and Design Decision Programs
Haorui Wang
Jeff Guo
Lingkai Kong
R. Ramprasad
Philippe Schwaller
Yuanqi Du
Chao Zhang
21
0
0
11 May 2025
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
Mohit Pandey
G. Subbaraj
Artem Cherkasov
Martin Ester
Emmanuel Bengio
AI4CE
66
1
0
08 Mar 2025
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
Xiangxin Zhou
Yi Xiao
Haowei Lin
Xinheng He
Jiaqi Guan
Yang Wang
Qiang Liu
F. I. S. Kevin Zhou
Liang Wang
Jianzhu Ma
AI4CE
50
0
0
06 Mar 2025
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
Yifan Niu
Ziqi Gao
Tingyang Xu
Yang Liu
Yatao Bian
Yu Rong
Junzhou Huang
Jia Li
68
0
0
03 Mar 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
Zhiyuan Liu
Yanchen Luo
Han Huang
Enzhi Zhang
Sihang Li
Junfeng Fang
Yaorui Shi
X. Wang
Kenji Kawaguchi
Tat-Seng Chua
100
3
0
18 Feb 2025
MOLLM: Multi-Objective Large Language Model for Molecular Design -- Optimizing with Experts
MOLLM: Multi-Objective Large Language Model for Molecular Design -- Optimizing with Experts
Nian Ran
Yue Wang
Richard Allmendinger
58
0
0
18 Feb 2025
Neural Flow Samplers with Shortcut Models
Neural Flow Samplers with Shortcut Models
Wuhao Chen
Zijing Ou
Yingzhen Li
77
0
0
11 Feb 2025
Molecule Generation with Fragment Retrieval Augmentation
Molecule Generation with Fragment Retrieval Augmentation
Seul Lee
Karsten Kreis
Srimukh Prasad Veccham
Meng Liu
Danny Reidenbach
Saee Paliwal
Arash Vahdat
Weili Nie
VLM
68
1
0
18 Nov 2024
Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective
  Optimization
Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization
Meitong Liu
Xiaoyuan Zhang
Chulin Xie
Kate Donahue
Han Zhao
13
1
0
29 Oct 2024
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
Peter Eckmann
D. Wu
G. Heinzelmann
Michael K. Gilson
Rose Yu
AI4CE
40
0
0
15 Oct 2024
Mitigating Exposure Bias in Score-Based Generation of Molecular
  Conformations
Mitigating Exposure Bias in Score-Based Generation of Molecular Conformations
Sijia Wang
Chen Wang
Zhenhao Zhao
Jiqiang Zhang
Weiran Cai
21
0
0
21 Sep 2024
Decomposed Direct Preference Optimization for Structure-Based Drug
  Design
Decomposed Direct Preference Optimization for Structure-Based Drug Design
Xiwei Cheng
Xiangxin Zhou
Yuwei Yang
Yu Bao
Quanquan Gu
38
3
0
19 Jul 2024
Any-Property-Conditional Molecule Generation with Self-Criticism using
  Spanning Trees
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees
Alexia Jolicoeur-Martineau
A. Baratin
Kisoo Kwon
Boris Knyazev
Yan Zhang
33
1
0
12 Jul 2024
Leveraging Latent Evolutionary Optimization for Targeted Molecule
  Generation
Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation
Siddartha Reddy N
Sai Prakash MV
V. Varun
Vishal Vaddina
Saisubramaniam Gopalakrishnan
49
0
0
02 Jul 2024
Global Human-guided Counterfactual Explanations for Molecular Properties
  via Reinforcement Learning
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning
Danqing Wang
Antonis Antoniades
Kha-Dinh Luong
Edwin Zhang
Mert Kosan
Jiachen Li
Ambuj Singh
William Yang Wang
Lei Li
AI4CE
18
0
0
19 Jun 2024
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning
  of Variational Autoencoders
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders
Nafiz Abeer
Sanket R. Jantre
Nathan M. Urban
Byung-Jun Yoon
36
0
0
31 May 2024
Saturn: Sample-efficient Generative Molecular Design using Memory
  Manipulation
Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation
Jeff Guo
Philippe Schwaller
Mamba
42
7
0
27 May 2024
A Review on Fragment-based De Novo 2D Molecule Generation
A Review on Fragment-based De Novo 2D Molecule Generation
Sergei Voloboev
VLM
29
1
0
08 May 2024
Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with
  Reward-Dependent Adjustment Mechanisms
Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms
Shuai Guo
Jielei Chu
Lei Zhu
Zhaoyu Li
Tianrui Li
AI4CE
29
2
0
08 Apr 2024
GP-MoLFormer: A Foundation Model For Molecular Generation
GP-MoLFormer: A Foundation Model For Molecular Generation
Jerret Ross
Brian M. Belgodere
Samuel C. Hoffman
Vijil Chenthamarakshan
Youssef Mroueh
Payel Das
Payel Das
31
5
0
04 Apr 2024
Instruction Multi-Constraint Molecular Generation Using a
  Teacher-Student Large Language Model
Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model
Peng Zhou
Jianmin Wang
Chunyan Li
Zixu Wang
Yiping Liu
...
Xibao Cai
Houtim Lai
Wei Liu
Longyue Wang
Xiangxiang Zeng
11
0
0
20 Mar 2024
DecompOpt: Controllable and Decomposed Diffusion Models for
  Structure-based Molecular Optimization
DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization
Xiangxin Zhou
Xiwei Cheng
Yuwei Yang
Yu Bao
Liang Wang
Quanquan Gu
29
14
0
07 Mar 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
Xi Lin
Xiao-Yan Zhang
Zhiyuan Yang
Fei Liu
Zhenkun Wang
Qingfu Zhang
30
16
0
29 Feb 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
20
66
0
26 Feb 2024
Graph Diffusion Policy Optimization
Graph Diffusion Policy Optimization
Yijing Liu
Chao Du
Tianyu Pang
Chongxuan Li
Wei Chen
Min-Bin Lin
24
7
0
26 Feb 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
MFBind: a Multi-Fidelity Approach for Evaluating Drug Compounds in
  Practical Generative Modeling
MFBind: a Multi-Fidelity Approach for Evaluating Drug Compounds in Practical Generative Modeling
Peter Eckmann
D. Wu
G. Heinzelmann
Michael K. Gilson
Rose Yu
AI4CE
29
4
0
16 Feb 2024
Evolution Guided Generative Flow Networks
Evolution Guided Generative Flow Networks
Zarif Ikram
Ling Pan
Dianbo Liu
81
1
0
03 Feb 2024
De novo Drug Design using Reinforcement Learning with Multiple GPT
  Agents
De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
Xiuyuan Hu
Guoqing Liu
Yang Zhao
Hao Zhang
13
19
0
21 Dec 2023
Advancing Bayesian Optimization via Learning Correlated Latent Space
Advancing Bayesian Optimization via Learning Correlated Latent Space
Seunghun Lee
Jaewon Chu
S. Kim
Juyeon Ko
Hyunwoo J. Kim
BDL
31
5
0
31 Oct 2023
Learning to Scale Logits for Temperature-Conditional GFlowNets
Learning to Scale Logits for Temperature-Conditional GFlowNets
Minsu Kim
Joohwan Ko
Taeyoung Yun
Dinghuai Zhang
Ling Pan
W. Kim
Jinkyoo Park
Emmanuel Bengio
Yoshua Bengio
AI4CE
25
21
0
04 Oct 2023
Local Search GFlowNets
Local Search GFlowNets
Minsu Kim
Taeyoung Yun
Emmanuel Bengio
Dinghuai Zhang
Yoshua Bengio
Sungsoo Ahn
Jinkyoo Park
24
33
0
04 Oct 2023
Drug Discovery with Dynamic Goal-aware Fragments
Drug Discovery with Dynamic Goal-aware Fragments
Seul Lee
Seanie Lee
Kenji Kawaguchi
Sung Ju Hwang
15
5
0
02 Oct 2023
Order-Preserving GFlowNets
Order-Preserving GFlowNets
Yihang Chen
Lukas Mauch
25
9
0
30 Sep 2023
Compositional Sculpting of Iterative Generative Processes
Compositional Sculpting of Iterative Generative Processes
Yixuan Wang
Sebastiaan De Peuter
Mingtong Zhang
Vikas K. Garg
Samuel Kaski
Tommi Jaakkola
DiffM
22
15
0
28 Sep 2023
Beam Enumeration: Probabilistic Explainability For Sample Efficient
  Self-conditioned Molecular Design
Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
Jeff Guo
P. Schwaller
19
6
0
25 Sep 2023
Will More Expressive Graph Neural Networks do Better on Generative
  Tasks?
Will More Expressive Graph Neural Networks do Better on Generative Tasks?
Xian-Quan Zou
Xiangyu Zhao
Pietro Lio'
Yiren Zhao
8
2
0
23 Aug 2023
Molecule Design by Latent Space Energy-Based Modeling and Gradual
  Distribution Shifting
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting
Deqian Kong
Bo Pang
Tian Han
Ying Nian Wu
DiffM
25
7
0
09 Jun 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug
  Design
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
Zaixin Zhang
Qi Liu
25
34
0
22 May 2023
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
Yiheng Zhu
Zhenqiu Ouyang
Ben Liao
Jialun Wu
YiXuan Wu
Chang-Yu Hsieh
Tingjun Hou
Jian Wu
AI4CE
10
4
0
15 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
38
18
0
05 May 2023
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A
  Fast Graph Contrastive Learning Framework
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework
Zhenshuo Zhang
Yun Zhu
Haizhou Shi
Siliang Tang
16
1
0
09 Mar 2023
Deep Learning Methods for Small Molecule Drug Discovery: A Survey
Deep Learning Methods for Small Molecule Drug Discovery: A Survey
Wenhao Hu
Yingying Liu
Xuanyu Chen
Wenhao Chai
Hangyue Chen
Hongwei Wang
Gaoang Wang
50
10
0
01 Mar 2023
Stochastic Generative Flow Networks
Stochastic Generative Flow Networks
L. Pan
Dinghuai Zhang
Moksh Jain
Longbo Huang
Yoshua Bengio
BDL
36
30
0
19 Feb 2023
Distributional GFlowNets with Quantile Flows
Distributional GFlowNets with Quantile Flows
Dinghuai Zhang
L. Pan
Ricky T. Q. Chen
Aaron Courville
Yoshua Bengio
22
25
0
11 Feb 2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets
Sample-efficient Multi-objective Molecular Optimization with GFlowNets
Yiheng Zhu
Jialun Wu
Chaowen Hu
Jiahuan Yan
Chang-Yu Hsieh
Tingjun Hou
Jian Wu
17
30
0
08 Feb 2023
GFlowNets for AI-Driven Scientific Discovery
GFlowNets for AI-Driven Scientific Discovery
Moksh Jain
T. Deleu
Jason S. Hartford
Cheng-Hao Liu
Alex Hernandez-Garcia
Yoshua Bengio
AI4CE
21
44
0
01 Feb 2023
Domain-Agnostic Molecular Generation with Chemical Feedback
Domain-Agnostic Molecular Generation with Chemical Feedback
Yin Fang
Ningyu Zhang
Zhuo Chen
Lingbing Guo
Xiaohui Fan
Huajun Chen
28
11
0
26 Jan 2023
Molecule optimization via multi-objective evolutionary in implicit
  chemical space
Molecule optimization via multi-objective evolutionary in implicit chemical space
Xin Xia
Yansen Su
Chunhou Zheng
Xiangxiang Zeng
21
1
0
17 Dec 2022
Scaffold-Based Multi-Objective Drug Candidate Optimization
Scaffold-Based Multi-Objective Drug Candidate Optimization
Agustin Kruel
Andrew D. McNaughton
Neeraj Kumar
25
1
0
15 Dec 2022
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