HMI-PRED 2.0: a biologist-oriented web application for prediction of host–microbe protein–protein interaction by interface mimicry-Reference-Cited by-同舟云学术

HMI-PRED 2.0: a biologist-oriented web application for prediction of host–microbe protein–protein interaction by interface mimicry

Published:2022-09-19 Issue:21 Volume:38 Page:4962-4965
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Lim Hansaim¹^ORCID,Tsai Chung-Jung¹,Keskin Ozlem²,Nussinov Ruth¹³,Gursoy Attila⁴^ORCID

Affiliation:

1. Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, NCI-Frederick , Frederick, MD 21702, USA

2. Department of Chemical and Biological Engineering, Koç University , Istanbul 34450, Turkey

3. Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University , Tel Aviv 69978, Israel

4. Department of Computer Engineering, Koç University , Istanbul 34450, Turkey

Abstract

AbstractSummaryHMI-PRED 2.0 is a publicly available web service for the prediction of host–microbe protein–protein interaction by interface mimicry that is intended to be used without extensive computational experience. A microbial protein structure is screened against a database covering the entire available structural space of complexes of known human proteins.Availability and implementationHMI-PRED 2.0 provides user-friendly graphic interfaces for predicting, visualizing and analyzing host–microbe interactions. HMI-PRED 2.0 is available at https://hmipred.org/.

Funder

National Cancer Institute, National Institutes of Health

Intramural Research Program of the NIH

National Cancer Institute

Center for Cancer Research

Turkish Health Institutions

Scientific and Technological Research Council

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btac633/46129051/btac633.pdf

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