DeepBindPPI: Protein–Protein Binding Site Prediction Using Attention Based Graph Convolutional Network-Reference-Cited by-同舟云学术

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DeepBindPPI: Protein–Protein Binding Site Prediction Using Attention Based Graph Convolutional Network

Published:2023-05-18 Issue:4 Volume:42 Page:276-287
ISSN:1572-3887
Container-title:The Protein Journal
language:en
Short-container-title:Protein J

Author:

Sunny Sharon,Prakash Pebbeti Bhanu,Gopakumar G.,Jayaraj P. B.

Publisher

Springer Science and Business Media LLC

Subject

Organic Chemistry,Biochemistry,Bioengineering,Analytical Chemistry

Link

https://link.springer.com/content/pdf/10.1007/s10930-023-10121-9.pdf

Reference41 articles.

1. Singh A, Kumar A, Uversky VN, Giri R (2018) Understanding the interactability of chikungunya virus proteins via molecular recognition feature analysis. RSC Adv 8(48):27293–27303

2. Liberis E, Veličković P, Sormanni P, Vendruscolo M, Lió P (2018) Parapred: antibody paratope prediction using convolutional and recurrent neural networks. Bioinformatics 34(17):2944–2950

3. Tubiana J, Schneidman-Duhovny D, Wolfson HJ (2022) Scannet: an interpretable geometric deep learning model for structure-based protein binding site prediction. Nat Methods 4:1–103

4. Jordan RA, El-Manzalawy Y, Dobbs D, Honavar V (2012) Predicting protein–protein interface residues using local surface structural similarity. BMC Bioinform 13(1):1–14

5. Liu J, Gong X (2019) Attention mechanism enhanced lstm with residual architecture and its application for protein–protein interaction residue pairs prediction. BMC Bioinform 20(1):1–11

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EpiScan: accurate high-throughput mapping of antibody-specific epitopes using sequence information;npj Systems Biology and Applications;2024-09-09

2. Deep Learning Methods for Binding Site Prediction in Protein Structures;Biochemistry (Moscow), Supplement Series B: Biomedical Chemistry;2024-06

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