PPCheck: A Webserver for the Quantitative Analysis of Protein-Protein Interfaces and Prediction of Residue Hotspots | Zendy

Anshul Sukhwal | Zendy; Ramanathan Sowdhamini | Zendy

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PPCheck: A Webserver for the Quantitative Analysis of Protein-Protein Interfaces and Prediction of Residue Hotspots

Author(s) -

Anshul Sukhwal,

Ramanathan Sowdhamini

Publication year - 2015

Publication title -

bioinformatics and biology insights

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.556

H-Index - 23

ISSN - 1177-9322

DOI - 10.4137/bbi.s25928

Subject(s) - computer science , docking (animal) , web server , alanine scanning , protein structure prediction , test set , data mining , machine learning , artificial intelligence , protein structure , biology , the internet , world wide web , biochemistry , medicine , nursing , mutagenesis , gene , mutation

Modeling protein-protein interactions (PPIs) using docking algorithms is useful for understanding biomolecular interactions and mechanisms. Typically, a docking algorithm generates a large number of docking poses, and it is often challenging to select the best native-like pose. A further challenge is to recognize key residues, termed as hotspots, at protein-protein interfaces, which contribute more in stabilizing a protein-protein interface.

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