{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T18:07:45Z","timestamp":1785607665211,"version":"3.56.0"},"reference-count":27,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2019,8,28]],"date-time":"2019-08-28T00:00:00Z","timestamp":1566950400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico (CNPq) and Financiadora de Inova\u00e7\u00e3o e Pesquisa"},{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Understanding the mechanisms of client protein interaction with Hsp70 chaperones is essential to analyze the complex dynamics in the context of normal or dysregulated metabolism. Because Hsp70 can bind millions of proteins, including key molecules involved in processes of stemness, tumorigenesis and survival, in silico prediction of Hsp70 interactions has great value in validating possible new clients. Currently, two algorithms are available to predict binding to DnaK\u2014the bacterial Hsp70\u2014but both are based on amino acid sequence and energy calculations of qualitative information\u2014binders and non-binders.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We introduce a new algorithm to identify Hsp70 binding sequences in proteins\u2014ChaperISM\u2014a position-independent scoring matrix trained on either qualitative or quantitative chemiluminescence data previously published, which were obtained from the interaction between DnaK and different ligands. Both versions of ChaperISM, qualitative or quantitative, resulted in an improved performance in comparison to other state-of-the-art chaperone binding predictors.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>ChaperISM is implemented in Python version 3. The source code of ChaperISM is freely available for download at https:\/\/github.com\/BioinfLab\/ChaperISM.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btz670","type":"journal-article","created":{"date-parts":[[2019,8,27]],"date-time":"2019-08-27T11:37:44Z","timestamp":1566905864000},"page":"735-741","source":"Crossref","is-referenced-by-count":30,"title":["ChaperISM: improved chaperone binding prediction using position-independent scoring matrices"],"prefix":"10.1093","volume":"36","author":[{"given":"M B B","family":"Gutierres","sequence":"first","affiliation":[{"name":"Laborat\u00f3rio de Imunoterapia, Departamento de Ci\u00eancias B\u00e1sicas da Sa\u00fade, Universidade Federal de Ci\u00eancias da Sa\u00fade de Porto Alegre , Porto Alegre, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C B C","family":"Bonorino","sequence":"additional","affiliation":[{"name":"Laborat\u00f3rio de Imunoterapia, Departamento de Ci\u00eancias B\u00e1sicas da Sa\u00fade, Universidade Federal de Ci\u00eancias da Sa\u00fade de Porto Alegre , Porto Alegre, Brazil"},{"name":"School of Medicine, Department of Surgery, University of California San Diego , La Jolla, CA 92037, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M M","family":"Rigo","sequence":"additional","affiliation":[{"name":"Escola de Medicina, Laborat\u00f3rio de Imunologia Cl\u00ednica e Experimental, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul , Porto Alegre, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2019,8,28]]},"reference":[{"key":"2023013110015834000_btz670-B1","doi-asserted-by":"crossref","first-page":"e16","DOI":"10.1093\/bioinformatics\/btl216","article-title":"DynaPred: a structure and sequence based method for the prediction of MHC class I binding peptide sequences and conformations","volume":"22","author":"Antes","year":"2006","journal-title":"Bioinformatics"},{"key":"2023013110015834000_btz670-B2","doi-asserted-by":"crossref","first-page":"1575","DOI":"10.1016\/j.jmb.2015.02.004","article-title":"How hsp70 molecular machines interact with their substrates to mediate diverse physiological functions","volume":"427","author":"Clerico","year":"2015","journal-title":"J. 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