{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T13:32:12Z","timestamp":1774099932412,"version":"3.50.1"},"reference-count":41,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T00:00:00Z","timestamp":1630627200000},"content-version":"vor","delay-in-days":245,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Peptides have attracted attention during the last decades due to their extraordinary therapeutic properties. Different computational tools have been developed to take advantage of existing information, compiling knowledge and making available the information for common users. Nevertheless, most related tools available are not user-friendly, present redundant information, do not clearly display the data, and usually are specific for particular biological activities, not existing so far, an integrated database with consolidated information to help research peptide sequences. To solve these necessities, we developed Peptipedia, a user-friendly web application and comprehensive database to search, characterize and analyse peptide sequences. Our tool integrates the information from 30 previously reported databases with a total of 92\u2009055 amino acid sequences, making it the biggest repository of peptides with recorded activities to date. Furthermore, we make available a variety of bioinformatics services and statistical modules to increase our tool\u2019s usability. Moreover, we incorporated a robust assembled binary classification system to predict putative biological activities for peptide sequences. Our tools\u2019 significant differences with other existing alternatives become a substantial contribution for developing biotechnological and bioengineering applications for peptides. Peptipedia is available for non-commercial use as an open-access software, licensed under the GNU General Public License, version GPL 3.0. The web platform is publicly available at peptipedia.cl.<\/jats:p>\n               <jats:p>Database URL: Both the source code and sample data sets are available in the GitHub repository https:\/\/github.com\/ProteinEngineering-PESB2\/peptipedia<\/jats:p>","DOI":"10.1093\/database\/baab055","type":"journal-article","created":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T11:09:07Z","timestamp":1628680147000},"source":"Crossref","is-referenced-by-count":36,"title":["Peptipedia: a user-friendly web application and a comprehensive database for peptide research supported by Machine Learning approach"],"prefix":"10.1093","volume":"2021","author":[{"given":"Cristofer","family":"Quiroz","sequence":"first","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Auton\u00f3ma de Chile, Cinco Pte. 1670, Talca 3467987, Chile"}]},{"given":"Yasna Barrera","family":"Saavedra","sequence":"additional","affiliation":[{"name":"Escuela de Ingenier\u00eda en Bioinform\u00e1tica, Universidad de Talca, Avenida Lircay SN, Talca 3460000, Chile"}]},{"given":"Benjam\u00edn","family":"Armijo-Galdames","sequence":"additional","affiliation":[{"name":"Centre for Biotechnology and Bioengineering, Universidad de Chile, Beauchef 851, Santiago 8370448, Chile"},{"name":"Department of Chemical Engineering, Biotechnology and Materials, Universidad de Chile, Beauchef 851, Santiago 8370448, Chile"}]},{"given":"Juan","family":"Amado-Hinojosa","sequence":"additional","affiliation":[{"name":"Centre for Biotechnology and Bioengineering, Universidad de Chile, Beauchef 851, Santiago 8370448, Chile"},{"name":"Department of Chemical Engineering, Biotechnology and Materials, Universidad de Chile, Beauchef 851, Santiago 8370448, Chile"}]},{"given":"\u00c1lvaro","family":"Olivera-Nappa","sequence":"additional","affiliation":[{"name":"Centre for Biotechnology and Bioengineering, Universidad de Chile, Beauchef 851, Santiago 8370448, Chile"},{"name":"Department of Chemical Engineering, Biotechnology and Materials, Universidad de Chile, Beauchef 851, Santiago 8370448, Chile"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6769-3281","authenticated-orcid":false,"given":"Anamaria","family":"Sanchez-Daza","sequence":"additional","affiliation":[{"name":"Centre for Biotechnology and Bioengineering, Universidad de Chile, Beauchef 851, Santiago 8370448, Chile"},{"name":"Institute for Cell Dynamics and Biotechnology, Beauchef 851, Santiago 8370456, Chile"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8369-5746","authenticated-orcid":false,"given":"David","family":"Medina-Ortiz","sequence":"additional","affiliation":[{"name":"Centre for Biotechnology and Bioengineering, Universidad de Chile, Beauchef 851, Santiago 8370448, Chile"},{"name":"Department of Chemical Engineering, Biotechnology and Materials, Universidad de Chile, Beauchef 851, Santiago 8370448, Chile"}]}],"member":"286","published-online":{"date-parts":[[2021,9,3]]},"reference":[{"key":"2021090315120518800_R1","doi-asserted-by":"publisher","first-page":"1276","DOI":"10.1002\/med.21658","article-title":"Machine intelligence in peptide therapeutics: a next-generation tool for rapid disease screening","volume":"40","author":"Basith","year":"2020","journal-title":"Med. 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