A CNN-LSTM Ensemble Model for Predicting Protein-Protein Interaction Binding Sites-Reference-Cited by-同舟云学术

A CNN-LSTM Ensemble Model for Predicting Protein-Protein Interaction Binding Sites

Published:2023-11 Issue:6 Volume:20 Page:3588-3599
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Gong Yinyin¹^ORCID,Li Rui¹,Fu Bin¹^ORCID,Liu Yan¹^ORCID,Wang Jilong²^ORCID,Li Renfa¹^ORCID,Chen Danny Z.³^ORCID

Affiliation:

1. College of Computer Science and Electronic Engineering, the Key Laboratory for Embedded and Network Computing of Hunan Province, and Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, Hunan University, Changsha, China

2. Peng Cheng Laboratory, Shenzhen, China

3. Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/10373680/10225388.pdf?arnumber=10225388

Reference54 articles.

1. Review and comparative assessment of sequence-based predictors of protein-binding residues

2. Effect of surface charge distribution on protein transport through semipermeable ultrafiltration membranes

3. Modulation of Protein–Protein Interactions for the Development of Novel Therapeutics

4. An overview of recent advances in structural bioinformatics of protein–protein interactions and a guide to their principles

5. On the Use of Knowledge-Based Potentials for the Evaluation of Models of Protein–Protein, Protein–DNA, and Protein–RNA Interactions