Autoren:	Alanis-Lobato, Gregorio
Titel:	Mining protein interactomes to improve their reliability and support the advancement of network medicine
Online-Publikationsdatum:	15-Jul-2022
Erscheinungsdatum:	2015
Sprache des Dokuments:	Englisch
Zusammenfassung/Abstract:	High-throughput detection of protein interactions has had a major impact in our understanding of the intricate molecular machinery underlying the living cell, and has permitted the construction of very large protein interactomes. The protein networks that are currently available are incomplete and a significant percentage of their interactions are false positives. Fortunately, the structural properties observed in good quality social or technological networks are also present in biological systems. This has encouraged the development of tools, to improve the reliability of protein networks and predict new interactions based merely on the topological characteristics of their components. Since diseases are rarely caused by the malfunction of a single protein, having a more complete and reliable interactome is crucial in order to identify groups of inter-related proteins involved in disease etiology. These system components can then be targeted with minimal collateral damage. In this article, an important number of network mining tools is reviewed, together with resources from which reliable protein interactomes can be constructed. In addition to the review, a few representative examples of how molecular and clinical data can be integrated to deepen our understanding of pathogenesis are discussed.
DDC-Sachgruppe:	570 Biowissenschaften 570 Life sciences
Veröffentlichende Institution:	Johannes Gutenberg-Universität Mainz
Organisationseinheit:	FB 10 Biologie
Veröffentlichungsort:	Mainz
ROR:	https://ror.org/023b0x485
DOI:	http://doi.org/10.25358/openscience-7431
Version:	Published version
Publikationstyp:	Zeitschriftenaufsatz
Nutzungsrechte:	CC BY
Informationen zu den Nutzungsrechten:	https://creativecommons.org/licenses/by/4.0/
Zeitschrift:	Frontiers in genetics 6
Seitenzahl oder Artikelnummer:	Art. 296
Verlag:	Frontiers Media
Verlagsort:	Lausanne
Erscheinungsdatum:	2015
ISSN:	1664-8021
URL der Originalveröffentlichung:	http://dx.doi.org/10.3389/fgene.2015.00296
DOI der Originalveröffentlichung:	10.3389/fgene.2015.00296
Enthalten in den Sammlungen:	DFG-OA-Publizieren (2012 - 2017)