Özlem Keskin

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTPrinciples of Protein−Protein Interactions: What are the Preferred Ways For Proteins To Interact?Ozlem Keskin, Attila Gursoy, Buyong Ma, and Ruth NussinovView Author Information Koc University, Center for Computational Biology and Bioinformatics and College of Engineering, Rumelifeneri Yolu, 34450 Sariyer Istanbul, Turkey; Basic Research Program, SAIC−Frederick, Inc., Center for Cancer Research Nanobiology Program, NCIFrederick, Frederick, Maryland 21702; and Sackler Institute of Molecular Medicine, Department of Human Genetics and Molecular Medicine, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel Cite this: Chem. Rev. 2008, 108, 4, 1225–1244Publication Date (Web):March 21, 2008Publication History Received13 July 2007Published online21 March 2008Published inissue 1 April 2008https://pubs.acs.org/doi/10.1021/cr040409xhttps://doi.org/10.1021/cr040409xresearch-articleACS PublicationsCopyright © 2008 American Chemical SocietyRequest reuse permissionsArticle Views11837Altmetric-Citations508LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Interfaces,Molecules,Peptides and proteins,Protein structure,Screening assays Get e-Alerts

Identification of protein-protein interactions (PPIs) is at the center of molecular biology considering the unquestionable role of proteins in cells. Combinatorial interactions result in a repertoire of multiple functions; hence, knowledge of PPI and binding regions naturally serve to functional proteomics and drug discovery. Given experimental limitations to find all interactions in a proteome, computational prediction/modeling of protein interactions is a prerequisite to proceed on the way to complete interactions at the proteome level. This review aims to provide a background on PPIs and their types. Computational methods for PPI predictions can use a variety of biological data including sequence-, evolution-, expression-, and structure-based data. Physical and statistical modeling are commonly used to integrate these data and infer PPI predictions. We review and list the state-of-the-art methods, servers, databases, and tools for protein-protein interaction prediction.

Ras proteins are classical members of small GTPases that function as molecular switches by alternating between inactive GDP-bound and active GTP-bound states. Ras activation is regulated by guanine nucleotide exchange factors that catalyze the exchange of GDP by GTP, and inactivation is terminated by GTPase-activating proteins that accelerate the intrinsic GTP hydrolysis rate by orders of magnitude. In this review, we focus on data that have accumulated over the past few years pertaining to the conformational ensembles and the allosteric regulation of Ras proteins and their interpretation from our conformational landscape standpoint. The Ras ensemble embodies all states, including the ligand-bound conformations, the activated (or inactivated) allosteric modulated states, post-translationally modified states, mutational states, transition states, and nonfunctional states serving as a reservoir for emerging functions. The ensemble is shifted by distinct mutational events, cofactors, post-translational modifications, and different membrane compositions. A better understanding of Ras biology can contribute to therapeutic strategies.