E2EATP: Fast and High-Accuracy Protein–ATP Binding Residue Prediction via Protein Language Model Embedding-Reference-Cited by-同舟云学术

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E2EATP: Fast and High-Accuracy Protein–ATP Binding Residue Prediction via Protein Language Model Embedding

Published:2023-12-21 Issue:1 Volume:64 Page:289-300
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Rao Bing¹,Yu Xuan²,Bai Jie¹,Hu Jun³^ORCID

Affiliation:

1. School of Information and Electrical Engineering, Hangzhou City University, Hangzhou 310015, China

2. Glasgow College, University of Electronic Science and Technology of China, Chengdu 611731, China

3. College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Fundamental Research Funds for the Provincial Universities of Zhejiang

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c01298

Reference40 articles.

1. Potential Therapeutic Agents That Target ATP Binding Cassette A1 (ABCA1) Gene Expression

2. Synergistic Binding of ATP and Nucleic Acids Necessitates UPF1’s ATPase Functional Cycle

3. Mitochondrial remodeling and ischemic protection by G protein–coupled receptor 35 agonists

4. ATP-triggered anticancer drug delivery

5. RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning

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1. Protein-peptide binding residue prediction based on protein language models and cross-attention mechanism;Analytical Biochemistry;2024-11

2. Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning;BMC Bioinformatics;2024-04-20

3. Protein-Peptide Binding Residue Prediction Based on Protein Language Models and Cross-Attention Mechanism;2024

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