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Str2Str: A Score-based Framework for Zero-shot Protein Conformation
  Sampling
v1v2v3 (latest)

Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling

5 June 2023
Jiarui Lu
Bozitao Zhong
Zuobai Zhang
Jian Tang
ArXiv (abs)PDFHTMLGithub (77★)

Papers citing "Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling"

12 / 12 papers shown
Title
PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models
PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models
Fanmeng Wang
Wentao Guo
Qi Ou
Hongshuai Wang
Haitao Lin
Hongteng Xu
Zhifeng Gao
AI4CE
100
2
0
11 Apr 2025
Structure Language Models for Protein Conformation Generation
Structure Language Models for Protein Conformation Generation
Jiarui Lu
Xiaoyin Chen
Stephen Zhewen Lu
Chence Shi
Hongyu Guo
Yoshua Bengio
Xiangbo Shu
DiffM
93
5
0
24 Oct 2024
Enhanced Sampling with Machine Learning: A Review
Enhanced Sampling with Machine Learning: A Review
S. Mehdi
Zachary Smith
Lukas Herron
Ziyue Zou
P. Tiwary
AI4CE
43
8
0
15 Jun 2023
Protein Sequence and Structure Co-Design with Equivariant Translation
Protein Sequence and Structure Co-Design with Equivariant Translation
Chence Shi
Chuanrui Wang
Jiarui Lu
Bozitao Zhong
Jian Tang
DiffM
59
48
0
17 Oct 2022
Diffusion probabilistic modeling of protein backbones in 3D for the
  motif-scaffolding problem
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem
Brian L. Trippe
Jason Yim
D. Tischer
D. Baker
Tamara Broderick
Regina Barzilay
Tommi Jaakkola
DiffM
86
240
0
08 Jun 2022
Torsional Diffusion for Molecular Conformer Generation
Torsional Diffusion for Molecular Conformer Generation
Bowen Jing
Gabriele Corso
Jeffrey Chang
Regina Barzilay
Tommi Jaakkola
DiffMBDL
103
273
0
01 Jun 2022
Deeptime: a Python library for machine learning dynamical models from
  time series data
Deeptime: a Python library for machine learning dynamical models from time series data
Moritz Hoffmann
Martin K. Scherer
Tim Hempel
Andreas Mardt
Brian M. de Silva
...
Stefan Klus
Hao Wu
N. Kutz
Steven L. Brunton
Frank Noé
AI4CE
86
106
0
28 Oct 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
385
6,586
0
26 Nov 2020
Machine Learning of coarse-grained Molecular Dynamics Force Fields
Machine Learning of coarse-grained Molecular Dynamics Force Fields
Jiang Wang
Simon Olsson
C. Wehmeyer
Adria Pérez
Nicholas E. Charron
Gianni De Fabritiis
Frank Noe
C. Clementi
AI4CE
52
406
0
04 Dec 2018
Self-Attention with Relative Position Representations
Self-Attention with Relative Position Representations
Peter Shaw
Jakob Uszkoreit
Ashish Vaswani
184
2,304
0
06 Mar 2018
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
322
4,198
0
21 May 2015
NICE: Non-linear Independent Components Estimation
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRLBDL
131
2,269
0
30 Oct 2014
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