<HashMap><database>biostudies-literature</database><scores/><additional><submitter>IMEx Consortium Curators</submitter><funding>British Heart Foundation</funding><funding>European Research Council</funding><funding>NHGRI NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>10</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6315030</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>10(1)</volume><pubmed_abstract>The current wealth of genomic variation data identified at nucleotide level presents the challenge of understanding by which mechanisms amino acid variation affects cellular processes. These effects may manifest as distinct phenotypic differences between individuals or result in the development of disease. Physical interactions between molecules are the linking steps underlying most, if not all, cellular processes. Understanding the effects that sequence variation has on a molecule's interactions is a key step towards connecting mechanistic characterization of nonsynonymous variation to phenotype. We present an open access resource created over 14 years by IMEx database curators, featuring 28,000 annotations describing the effect of small sequence changes on physical protein interactions. </pubmed_abstract><journal>Nature communications</journal><pubmed_title>Capturing variation impact on molecular interactions in the IMEx Consortium mutations data set.</pubmed_title><pmcid>PMC6315030</pmcid><funding_grant_id>P20 GM103446</funding_grant_id><funding_grant_id>322749</funding_grant_id><funding_grant_id>R01 GM123126</funding_grant_id><funding_grant_id>U41 HG002273</funding_grant_id><funding_grant_id>U01 GM120953</funding_grant_id><funding_grant_id>U24 HG007822</funding_grant_id><funding_grant_id>U41 HG007822</funding_grant_id><funding_grant_id>RG/13/5/30112</funding_grant_id><funding_grant_id>R01 GM080646</funding_grant_id><pubmed_authors>Lovering RC</pubmed_authors><pubmed_authors>Pellegrini M</pubmed_authors><pubmed_authors>Cesareni G</pubmed_authors><pubmed_authors>Ochoa D</pubmed_authors><pubmed_authors>Campbell NH</pubmed_authors><pubmed_authors>Beltrao P</pubmed_authors><pubmed_authors>Ammari MG</pubmed_authors><pubmed_authors>Del-Toro N</pubmed_authors><pubmed_authors>Duesbury M</pubmed_authors><pubmed_authors>Lynn DJ</pubmed_authors><pubmed_authors>Iannuccelli M</pubmed_authors><pubmed_authors>Koch M</pubmed_authors><pubmed_authors>Licata L</pubmed_authors><pubmed_authors>Panni S</pubmed_authors><pubmed_authors>Shrivastava A</pubmed_authors><pubmed_authors>Roechert B</pubmed_authors><pubmed_authors>Ricard-Blum S</pubmed_authors><pubmed_authors>van Roey K</pubmed_authors><pubmed_authors>Jurisica I</pubmed_authors><pubmed_authors>Pastrello C</pubmed_authors><pubmed_authors>Mahadevan U</pubmed_authors><pubmed_authors>Thorneycroft D</pubmed_authors><pubmed_authors>Raghunath A</pubmed_authors><pubmed_authors>Hermjakob H</pubmed_authors><pubmed_authors>Jagannathan S</pubmed_authors><pubmed_authors>Rodriguez-Lopez M</pubmed_authors><pubmed_authors>Melidoni AN</pubmed_authors><pubmed_authors>Wagih O</pubmed_authors><pubmed_authors>Chen C</pubmed_authors><pubmed_authors>Orchard S</pubmed_authors><pubmed_authors>Porras P</pubmed_authors><pubmed_authors>Pinero J</pubmed_authors><pubmed_authors>Salwinski L</pubmed_authors><pubmed_authors>Khadake J</pubmed_authors><pubmed_authors>Broackes-Carter F</pubmed_authors><pubmed_authors>Furlong LI</pubmed_authors><pubmed_authors>Meldal B</pubmed_authors><pubmed_authors>IMEx Consortium Curators</pubmed_authors><pubmed_authors>Perfetto L</pubmed_authors><pubmed_authors>Bridge A</pubmed_authors><pubmed_authors>McCarthy F</pubmed_authors><pubmed_authors>Abbani S</pubmed_authors><pubmed_authors>Kotlyar M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Capturing variation impact on molecular interactions in the IMEx Consortium mutations data set.</name><description>The current wealth of genomic variation data identified at nucleotide level presents the challenge of understanding by which mechanisms amino acid variation affects cellular processes. These effects may manifest as distinct phenotypic differences between individuals or result in the development of disease. Physical interactions between molecules are the linking steps underlying most, if not all, cellular processes. Understanding the effects that sequence variation has on a molecule's interactions is a key step towards connecting mechanistic characterization of nonsynonymous variation to phenotype. We present an open access resource created over 14 years by IMEx database curators, featuring 28,000 annotations describing the effect of small sequence changes on physical protein interactions. </description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Jan</publication><modification>2025-04-21T15:08:11.409Z</modification><creation>2019-03-26T22:29:56Z</creation></dates><accession>S-EPMC6315030</accession><cross_references><pubmed>30602777</pubmed><doi>10.1038/s41467-018-07709-6</doi></cross_references></HashMap>