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Protein sequence design with deep generative models

Protein sequence design with deep generative models

9 April 2021
Zachary Wu
Kadina E. Johnston
F. Arnold
Kevin Kaichuang Yang
ArXivPDFHTML

Papers citing "Protein sequence design with deep generative models"

29 / 29 papers shown
Title
$α$-TCVAE: On the relationship between Disentanglement and
  Diversity
ααα-TCVAE: On the relationship between Disentanglement and Diversity
Cristian Meo
Louis Mahon
Anirudh Goyal
Justin Dauwels
DRL
61
8
0
01 Nov 2024
Conditional Enzyme Generation Using Protein Language Models with
  Adapters
Conditional Enzyme Generation Using Protein Language Models with Adapters
Jason Yang
Aadyot Bhatnagar
Jeffrey A. Ruffolo
Ali Madani
26
4
0
04 Oct 2024
De novo antibody design with SE(3) diffusion
De novo antibody design with SE(3) diffusion
Daniel Cutting
Frédéric A. Dreyer
David Errington
Constantin Schneider
Charlotte M. Deane
DiffM
33
3
0
13 May 2024
Generative AI for Controllable Protein Sequence Design: A Survey
Generative AI for Controllable Protein Sequence Design: A Survey
Yiheng Zhu
Zitai Kong
Jialun Wu
Weize Liu
Yuqiang Han
Mingze Yin
Hongxia Xu
Chang-Yu Hsieh
Tingjun Hou
AI4CE
37
6
0
16 Feb 2024
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide
  Generation
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
Yongkang Wang
Xuan Liu
Feng Huang
Zhankun Xiong
Wen Zhang
52
14
0
25 Dec 2023
Best practices for machine learning in antibody discovery and
  development
Best practices for machine learning in antibody discovery and development
Leonard Wossnig
Norbert Furtmann
Andrew Buchanan
Sandeep Kumar
Victor Greiff
16
7
0
13 Dec 2023
De novo protein design using geometric vector field networks
De novo protein design using geometric vector field networks
Weian Mao
Muzhi Zhu
Zheng Sun
Shuaike Shen
Lin Yuanbo Wu
Hao Chen
Chunhua Shen
DiffM
33
10
0
18 Oct 2023
De Novo Drug Design with Joint Transformers
De Novo Drug Design with Joint Transformers
Adam Izdebski
Ewelina Węglarz-Tomczak
Ewa Szczurek
Jakub M. Tomczak
ViT
21
3
0
03 Oct 2023
Target-aware Variational Auto-encoders for Ligand Generation with
  Multimodal Protein Representation Learning
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning
Haoxiang Luo
Gang Sun
34
2
0
02 Aug 2023
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge
  Refinement
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement
Zhangyang Gao
Cheng Tan
Stan Z. Li
23
15
0
20 May 2023
A Latent Diffusion Model for Protein Structure Generation
A Latent Diffusion Model for Protein Structure Generation
Cong Fu
Keqiang Yan
Limei Wang
Wing Yee Au
Michael McThrow
Tao Komikado
Koji Maruhashi
Kanji Uchino
Xiaoning Qian
Shuiwang Ji
DiffM
18
31
0
06 May 2023
Graph Representation Learning for Interactive Biomolecule Systems
Graph Representation Learning for Interactive Biomolecule Systems
Xinye Xiong
Bingxin Zhou
Yu Guang Wang
AI4CE
GNN
33
0
0
05 Apr 2023
Diffusion map particle systems for generative modeling
Diffusion map particle systems for generative modeling
Fengyi Li
Youssef Marzouk
DiffM
13
4
0
01 Apr 2023
ProtFIM: Fill-in-Middle Protein Sequence Design via Protein Language
  Models
ProtFIM: Fill-in-Middle Protein Sequence Design via Protein Language Models
Youhan Lee
Hasun Yu
8
3
0
29 Mar 2023
Lightweight Contrastive Protein Structure-Sequence Transformation
Lightweight Contrastive Protein Structure-Sequence Transformation
Jiangbin Zheng
Ge Wang
Yufei Huang
Bozhen Hu
Siyuan Li
Cheng Tan
Xinwen Fan
Stan Z. Li
15
6
0
19 Mar 2023
A Text-guided Protein Design Framework
A Text-guided Protein Design Framework
Shengchao Liu
Yanjing Li
Zhuoxinran Li
A. Gitter
Yutao Zhu
...
Arvind Ramanathan
Chaowei Xiao
Jian Tang
Hongyu Guo
Anima Anandkumar
67
61
0
09 Feb 2023
Feature Likelihood Divergence: Evaluating the Generalization of
  Generative Models Using Samples
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
Marco Jiralerspong
A. Bose
I. Gemp
Chongli Qin
Yoram Bachrach
Gauthier Gidel
EGVM
29
5
0
09 Feb 2023
Target specific peptide design using latent space approximate trajectory
  collector
Target specific peptide design using latent space approximate trajectory collector
Tong Lin
Sijie Chen
R. Basu
D. Pei
Xiaolin Cheng
L. Kara
11
2
0
02 Feb 2023
DiffSDS: A language diffusion model for protein backbone inpainting
  under geometric conditions and constraints
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints
Zhangyang Gao
Cheng Tan
Stan Z. Li
DiffM
21
19
0
22 Jan 2023
Thompson Sampling with Diffusion Generative Prior
Thompson Sampling with Diffusion Generative Prior
Yu-Guan Hsieh
S. Kasiviswanathan
B. Kveton
Patrick Blobaum
DiffM
27
7
0
12 Jan 2023
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete
  MCMC
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC
Patrick Emami
Aidan Perreault
Jeffrey N. Law
David J. Biagioni
Peter C. St. John
18
13
0
20 Dec 2022
PiFold: Toward effective and efficient protein inverse folding
PiFold: Toward effective and efficient protein inverse folding
Zhangyang Gao
Cheng Tan
Pablo Chacón
Stan Z. Li
AI4CE
67
104
0
22 Sep 2022
Learning Hierarchical Protein Representations via Complete 3D Graph
  Networks
Learning Hierarchical Protein Representations via Complete 3D Graph Networks
Limei Wang
Haoran Liu
Yi Liu
Jerry Kurtin
Shuiwang Ji
GNN
30
55
0
26 Jul 2022
Regression Transformer: Concurrent sequence regression and generation
  for molecular language modeling
Regression Transformer: Concurrent sequence regression and generation for molecular language modeling
Jannis Born
Matteo Manica
13
91
0
01 Feb 2022
Deep Generative Modeling for Protein Design
Deep Generative Modeling for Protein Design
Alexey Strokach
Philip M. Kim
AI4CE
179
90
0
31 Aug 2021
Deep Extrapolation for Attribute-Enhanced Generation
Deep Extrapolation for Attribute-Enhanced Generation
Alvin Chan
Ali Madani
Ben Krause
Nikhil Naik
19
24
0
07 Jul 2021
Adaptive machine learning for protein engineering
Adaptive machine learning for protein engineering
B. Hie
Kevin Kaichuang Yang
9
80
0
10 Jun 2021
Design by adaptive sampling
Design by adaptive sampling
David H. Brookes
Jennifer Listgarten
TPM
39
65
0
08 Oct 2018
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,923
0
17 Aug 2015
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