{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T10:46:44Z","timestamp":1783075604843,"version":"3.54.6"},"reference-count":16,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2017,10,23]],"date-time":"2017-10-23T00:00:00Z","timestamp":1508716800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/about_us\/legal\/notices"}],"funder":[{"DOI":"10.13039\/501100006769","name":"Russian Science Foundation","doi-asserted-by":"publisher","award":["14-15-00449"],"award-info":[{"award-number":["14-15-00449"]}],"id":[{"id":"10.13039\/501100006769","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,2,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Identification of rodent carcinogens is an important task in risk assessment of chemicals. SAR methods were proposed to reduce the number of animal experiments. Most of these methods ignore information about organ-specificity of tumorigenesis. Our study was aimed at the creation of classification models and a freely available online service for prediction of rodent carcinogens considering the species (rats, mice), sex and tissue-specificity from structural formula of compounds.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The data from Carcinogenic Potency Database for 1011 organic compounds evaluated on the standard two-year rodent carcinogenicity bioassay was used for the creation of training sets. Structure-activity relationships models for prediction of rodent organ-specific carcinogenicity were created by PASS software, which was based on Bayesian-like approach and Multilevel Neighborhoods of Atoms descriptors. The average prediction accuracy for training sets calculated by leave-one-out and 10-fold cross-validation was 79 and 78.2%, respectively.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>Freely available on the web at http:\/\/www.way2drug.com\/ROSC.<\/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\/btx678","type":"journal-article","created":{"date-parts":[[2017,10,21]],"date-time":"2017-10-21T19:08:59Z","timestamp":1508612939000},"page":"710-712","source":"Crossref","is-referenced-by-count":34,"title":["ROSC-Pred: web-service for rodent organ-specific carcinogenicity prediction"],"prefix":"10.1093","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1757-8004","authenticated-orcid":false,"given":"Alexey","family":"Lagunin","sequence":"first","affiliation":[{"name":"Department of Bioinformatics, Institute of Biomedical Chemistry, Moscow, Russia"},{"name":"Department of Bioinformatics, Pirogov Russian National Research Medical University, Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anastasia","family":"Rudik","sequence":"additional","affiliation":[{"name":"Department of Bioinformatics, Institute of Biomedical Chemistry, Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dmitry","family":"Druzhilovsky","sequence":"additional","affiliation":[{"name":"Department of Bioinformatics, Institute of Biomedical Chemistry, Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dmitry","family":"Filimonov","sequence":"additional","affiliation":[{"name":"Department of Bioinformatics, Institute of Biomedical Chemistry, Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vladimir","family":"Poroikov","sequence":"additional","affiliation":[{"name":"Department of Bioinformatics, Institute of Biomedical Chemistry, Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2017,10,23]]},"reference":[{"key":"2023012712400068200_btx678-B1","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1093\/mutage\/ges059","article-title":"In vitro cell transformation assays for an integrated, alternative assessment of carcinogenicity: a data-based analysis","volume":"28","author":"Benigni","year":"2013","journal-title":"Mutagenesis"},{"key":"2023012712400068200_btx678-B2","first-page":"163","article-title":"Improving prediction of carcinogenicity to reduce, refine, and replace the use of experimental animals","volume":"54","author":"Bourcier","year":"2015","journal-title":"J. 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