Universität zu Köln

Rendon, Javier Macho, Rebollido-Rios, Rocio and Burgas, Marc Torrent (2022). HPIPred: Host-pathogen interactome prediction with phenotypic scoring. Comp. Struct. Biotechnol. J.., 20. S. 6534 - 6543. AMSTERDAM: ELSEVIER. ISSN 2001-0370

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Abstract

Protein-protein interactions (PPIs) are involved in most cellular processes. Unfortunately, current knowl-edge of host-pathogen interactomes is still very limited. Experimental methods used to detect PPIs have several limitations, including increasing complexity and economic cost in large-scale screenings. Hence, computational methods are commonly used to support experimental data, although they generally suffer from high false-positive rates. To address this issue, we have created HPIPred, a host-pathogen PPI pre-diction tool based on numerical encoding of physicochemical properties. Unlike other available methods, HPIPred integrates phenotypic data to prioritize biologically meaningful results. We used HPIPred to screen the entire Homo sapiens and Pseudomonas aeruginosa PAO1 proteomes to generate a host -pathogen interactome with 763 interactions displaying a highly connected network topology. Our predic-tive model can be used to prioritize protein-protein interactions as potential targets for antibacterial drug development. Available at: https://github.com/SysBioUAB/hpi_predictor.(c) 2022 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY-NC-ND license (http://creative-commons.org/licenses/by-nc-nd/4.0/).

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Rendon, Javier Macho UNSPECIFIED UNSPECIFIED UNSPECIFIED Rebollido-Rios, Rocio UNSPECIFIED UNSPECIFIED UNSPECIFIED Burgas, Marc Torrent UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-672848
DOI:	10.1016/j.csbj.2022.11.026
Journal or Publication Title:	Comp. Struct. Biotechnol. J..
Volume:	20
Page Range:	S. 6534 - 6543
Date:	2022
Publisher:	ELSEVIER
Place of Publication:	AMSTERDAM
ISSN:	2001-0370
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language PROTEIN-PROTEIN INTERACTION Multiple languages Biochemistry & Molecular Biology; Biotechnology & Applied Microbiology Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/67284