{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T05:19:45Z","timestamp":1674710385900},"reference-count":42,"publisher":"Oxford University Press (OUP)","issue":"18","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,9,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: In nature, protein\u2013protein interactions are constantly evolving under various selective pressures. Nonetheless, it is expected that crucial interactions are maintained through compensatory mutations between interacting proteins. Thus, many studies have used evolutionary sequence data to extract such occurrences of correlated mutation. However, this research is confounded by other evolutionary pressures that contribute to sequence covariance, such as common ancestry.<\/jats:p>\n               <jats:p>Results: Here, we focus exclusively on the compensatory mutations deriving from physical protein interactions, by performing large-scale computational mutagenesis experiments for &amp;gt;260 protein\u2013protein interfaces. We investigate the potential for co-adaptability present in protein pairs that are always found together in nature (obligate) and those that are occasionally in complex (transient). By modeling each complex both in bound and unbound forms, we find that naturally transient complexes possess greater relative capacity for correlated mutation than obligate complexes, even when differences in interface size are taken into account.<\/jats:p>\n               <jats:p>Contact: \u00a0michall@cc.huji.ac.il<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btq412","type":"journal-article","created":{"date-parts":[[2010,8,3]],"date-time":"2010-08-03T03:30:44Z","timestamp":1280806244000},"page":"2266-2272","source":"Crossref","is-referenced-by-count":3,"title":["Exposing the co-adaptive potential of protein\u2013protein interfaces through computational sequence design"],"prefix":"10.1093","volume":"26","author":[{"given":"Menachem","family":"Fromer","sequence":"first","affiliation":[{"name":"1 School of Computer Science and Engineering and 2Department of Biological Chemistry, Institute of Life Sciences, Sudarsky Center for Computational Biology, The Hebrew University of Jerusalem, Jerusalem, Israel"}]},{"given":"Michal","family":"Linial","sequence":"additional","affiliation":[{"name":"1 School of Computer Science and Engineering and 2Department of Biological Chemistry, Institute of Life Sciences, Sudarsky Center for Computational Biology, The Hebrew University of Jerusalem, Jerusalem, Israel"}]}],"member":"286","published-online":{"date-parts":[[2010,8,2]]},"reference":[{"key":"2023012508212702700_B1","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1002\/prot.20593","article-title":"Statistical analysis of predominantly transient protein-protein interfaces","volume":"61","author":"Ansari","year":"2005","journal-title":"Proteins"},{"key":"2023012508212702700_B2","doi-asserted-by":"crossref","first-page":"e52","DOI":"10.1371\/journal.pcbi.0030052","article-title":"Positive and negative design in stability and thermal adaptation of natural proteins","volume":"3","author":"Berezovsky","year":"2007","journal-title":"PLoS Comput. 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