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A Survey on Protein Representation Learning: Retrospect and Prospect

A Survey on Protein Representation Learning: Retrospect and Prospect

31 December 2022
Lirong Wu
Yu-Feng Huang
H. Lin
Stan Z. Li
    AI4TS
ArXiv (abs)PDFHTMLGithub (668★)

Papers citing "A Survey on Protein Representation Learning: Retrospect and Prospect"

7 / 7 papers shown
BioBlobs: Differentiable Graph Partitioning for Protein Representation Learning
BioBlobs: Differentiable Graph Partitioning for Protein Representation Learning
Xin Wang
Carlos Oliver
172
0
0
02 Oct 2025
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
428
28
0
05 Mar 2024
Enhancing Protein Predictive Models via Proteins Data Augmentation: A
  Benchmark and New Directions
Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions
Rui Sun
Lirong Wu
Haitao Lin
Yufei Huang
Stan Z. Li
276
4
0
01 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
Jiaqi Han
Jiacheng Cen
Liming Wu
Zongzhao Li
Xiangzhe Kong
...
Zhewei Wei
Deli Zhao
Yu Rong
Wenbing Huang
Wenbing Huang
AI4CE
693
69
0
01 Mar 2024
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction
  Prediction via Microenvironment-Aware Protein Embedding
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
Lirong Wu
Yijun Tian
Yufei Huang
Siyuan Li
Haitao Lin
Nitesh Chawla
Stan Z. Li
258
44
0
22 Feb 2024
Interpretable machine learning of amino acid patterns in proteins: a
  statistical ensemble approach
Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approachJournal of Chemical Theory and Computation (JCTC), 2023
A. Braghetto
E. Orlandini
M. Baiesi
187
7
0
27 Mar 2023
Data-Efficient Protein 3D Geometric Pretraining via Refinement of
  Diffused Protein Structure Decoy
Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy
Yufei Huang
Lirong Wu
Haitao Lin
Jiangbin Zheng
Ge Wang
Stan Z. Li
DiffM
184
14
0
05 Feb 2023
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