Factors That Affect the Computational Prediction of Hot Spots in Protein-Protein Complexes

ISSN Print: 2165-3445
ISSN Online: 2165-3453
www.scirp.net/journal/cmb
E-mail: [email protected]

Citations

"Factors That Affect the Computational Prediction of Hot Spots in Protein-Protein Complexes"
written by Jianping Lin, Pi Liu, Hua-Zheng Yang, Nagarajan Vaidehi,
published by Computational Molecular Bioscience, Vol.2 No.1, 2012

has been cited by the following article(s):

[1]	Identification of Hotspot Residues in Binding of SARS-CoV-2 Spike and Human ACE2 Proteins
	Journal of Computational …, 2021

[2]	Trimer Protein-Protein Complex Interface Interacting Residue Pairs Prediction Using Deep Learning Approach
	2019

[3]	Mapping protein selectivity landscapes using multi-target selective screening and next-generation sequencing of combinatorial libraries
	Nature Communications, 2018

[4]	Multiple dimensional space for protein interface residue characterization
	Molecular Based Mathematical Biology, 2016

[5]	The Role of Water Occlusion for the Definition of a Protein Binding Hot-Spot
	Current topics in medicinal chemistry, 2015

[1]	Identification of Hotspot Residues in Binding of SARS-CoV-2 Spike and Human ACE2 Proteins Journal of Computational Biophysics and Chemistry, 2021 DOI:10.1142/S2737416521500447

[2]	Trimer Protein-Protein Complex Interface Interacting Residue Pairs Prediction Using Deep Learning Approach Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, 2019 DOI:10.1145/3307339.3343864

[3]	Mapping protein selectivity landscapes using multi-target selective screening and next-generation sequencing of combinatorial libraries Nature Communications, 2018 DOI:10.1038/s41467-018-06403-x