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Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model
  for Protein Design

Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design

24 June 2021
Yue Cao
Payel Das
Vijil Chenthamarakshan
Pin-Yu Chen
Igor Melnyk
Yang Shen
ArXivPDFHTML

Papers citing "Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design"

20 / 20 papers shown
Title
Protein Large Language Models: A Comprehensive Survey
Protein Large Language Models: A Comprehensive Survey
Yijia Xiao
Wanjia Zhao
Junkai Zhang
Yiqiao Jin
Han Zhang
...
Xiao Luo
Yu-Jie Zhang
James Y. Zou
Y. Sun
Wei Wang
LM&MA
AI4CE
54
3
0
21 Feb 2025
Clustering for Protein Representation Learning
Clustering for Protein Representation Learning
Ruijie Quan
Wenguan Wang
Fan Ma
Hehe Fan
Yi Yang
29
5
0
30 Mar 2024
TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence
  Generation
TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation
Zongying Lin
Hao Li
Liuzhenghao Lv
Lin Bin
Junwu Zhang
Calvin Yu-Chian Chwn
Li Yuan
Tian Yonghong
24
3
0
27 Feb 2024
Efficiently Predicting Protein Stability Changes Upon Single-point
  Mutation with Large Language Models
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models
Yijie Zhang
Zhangyang Gao
Cheng Tan
Stan Z.Li
27
2
0
07 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
AbODE: Ab Initio Antibody Design using Conjoined ODEs
AbODE: Ab Initio Antibody Design using Conjoined ODEs
Yogesh Verma
Markus Heinonen
Vikas K. Garg
26
18
0
31 May 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
21
15
0
20 May 2023
Protein Language Models and Structure Prediction: Connection and
  Progression
Protein Language Models and Structure Prediction: Connection and Progression
Bozhen Hu
Jun-Xiong Xia
Jiangbin Zheng
Cheng Tan
Yufei Huang
Yongjie Xu
Stan Z. Li
19
40
0
30 Nov 2022
Incorporating Pre-training Paradigm for Antibody Sequence-Structure
  Co-design
Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design
Kaiyuan Gao
Lijun Wu
Jinhua Zhu
Tianbo Peng
Yingce Xia
...
Shufang Xie
Tao Qin
Haiguang Liu
Kun He
Tie-Yan Liu
22
9
0
26 Oct 2022
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
Igor Melnyk
Vijil Chenthamarakshan
Pin-Yu Chen
Payel Das
Amit Dhurandhar
Inkit Padhi
Devleena Das
19
28
0
05 Oct 2022
AlphaFold Distillation for Protein Design
AlphaFold Distillation for Protein Design
Igor Melnyk
A. Lozano
Payel Das
Vijil Chenthamarakshan
12
1
0
05 Oct 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
65
104
0
22 Sep 2022
Conditional Antibody Design as 3D Equivariant Graph Translation
Conditional Antibody Design as 3D Equivariant Graph Translation
Xiangzhe Kong
Wenbing Huang
Yang Liu
DiffM
19
84
0
12 Aug 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
28
55
0
26 Jul 2022
Antibody-Antigen Docking and Design via Hierarchical Equivariant
  Refinement
Antibody-Antigen Docking and Design via Hierarchical Equivariant Refinement
Wengong Jin
Regina Barzilay
Tommi Jaakkola
14
21
0
14 Jul 2022
Generative De Novo Protein Design with Global Context
Generative De Novo Protein Design with Global Context
Cheng Tan
Zhangyang Gao
Jun-Xiong Xia
Bozhen Hu
Stan Z. Li
4
7
0
21 Apr 2022
Protein Representation Learning by Geometric Structure Pretraining
Protein Representation Learning by Geometric Structure Pretraining
Zuobai Zhang
Minghao Xu
Arian R. Jamasb
Vijil Chenthamarakshan
A. Lozano
Payel Das
Jian Tang
SSL
11
217
0
11 Mar 2022
AntBO: Towards Real-World Automated Antibody Design with Combinatorial
  Bayesian Optimisation
AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation
M. A. Khan
Alexander I. Cowen-Rivers
Antoine Grosnit
Derrick-Goh-Xin Deik
Philippe A. Robert
...
Rasul Tutunov
Dany Bou-Ammar
Jun Wang
Amos Storkey
Haitham Bou-Ammar
45
22
0
29 Jan 2022
Benchmarking deep generative models for diverse antibody sequence design
Benchmarking deep generative models for diverse antibody sequence design
Igor Melnyk
Payel Das
Vijil Chenthamarakshan
A. Lozano
DiffM
40
17
0
12 Nov 2021
Iterative Refinement Graph Neural Network for Antibody
  Sequence-Structure Co-design
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
Wengong Jin
Jeremy Wohlwend
Regina Barzilay
Tommi Jaakkola
11
136
0
09 Oct 2021
1