{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:20:47Z","timestamp":1766067647092,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031206108"},{"type":"electronic","value":"9783031206115"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-20611-5_3","type":"book-chapter","created":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T00:14:47Z","timestamp":1669162487000},"page":"31-40","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Bioactivity Predictors for the Inhibition of Staphylococcus Aureus Quinolone Resistance Protein"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7497-0438","authenticated-orcid":false,"given":"Michael Stiven Ramirez","family":"Campos","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2804-4940","authenticated-orcid":false,"given":"David Alejandro Galeano","family":"L\u00f3pez","sequence":"additional","affiliation":[]},{"given":"Jorman Arbey Castro","family":"Rivera","sequence":"additional","affiliation":[]},{"given":"Diana C.","family":"Rodriguez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9493-2324","authenticated-orcid":false,"given":"Oscar J.","family":"Perdomo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2057-7603","authenticated-orcid":false,"given":"Alvaro David","family":"Orjuela-Ca\u00f1on","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,23]]},"reference":[{"issue":"3","key":"3_CR1","doi-asserted-by":"publisher","first-page":"300","DOI":"10.4103\/joacp.JOACP_349_15","volume":"33","author":"G Kapoor","year":"2017","unstructured":"Kapoor, G., Saigal, S., Elongavan, A.: Action and resistance mechanisms of antibiotics: A guide for clinicians. J. Anaesthesiol. Clin. Pharmacol. 33(3), 300 (2017)","journal-title":"J. Anaesthesiol. Clin. Pharmacol."},{"key":"3_CR2","doi-asserted-by":"publisher","unstructured":"Pasachova Garz\u00f3n,\u00a0J., Ramirez Martinez, S., Mu\u00f1oz Molina y,\u00a0L.: Staphylococcus aureus: generalidades, mecanismos de patogenicidad y colonizaci\u00f3n celular, Nova\u00a017(32), 25\u201338 (2019).\u00a0https:\/\/doi.org\/10.22490\/24629448.3631","DOI":"10.22490\/24629448.3631"},{"key":"3_CR3","unstructured":"Encyclopedia, M., (MRSA), M.:\u00a0Methicillin-resistant Staphylococcus aureus (MRSA): MedlinePlus Medical Encyclopedia. Medlineplus.gov. https:\/\/medlineplus.gov\/ency\/article\/007261.htm. Accessed 29 Jul\u00a02022"},{"key":"3_CR4","doi-asserted-by":"publisher","unstructured":"Ng,\u00a0E.Y., Trucksis,\u00a0M., Hooper y,\u00a0D.C.: Quinolone resistance mediated by norA: physiologic characterization and relationship to flqB, a quinolone resistance locus on the Staphylococcus aureus chromosome, Antimicrob. Agents Chemother\u00a038(6), 1345\u20131355 (1994).\u00a0https:\/\/doi.org\/10.1128\/AAC.38.6.1345","DOI":"10.1128\/AAC.38.6.1345"},{"key":"3_CR5","doi-asserted-by":"publisher","unstructured":"Walters,\u00a0W., Barzilay,\u00a0 R.: Applications of deep learning in molecule generation and molecular property prediction, Acc. Chem. Res. 54(2), 263\u2013270 (2020).\u00a0https:\/\/doi.org\/10.1021\/acs.accounts.0c00699","DOI":"10.1021\/acs.accounts.0c00699"},{"key":"3_CR6","doi-asserted-by":"publisher","unstructured":"Wang,\u00a0Z., et al.: Advanced graph and sequence neural networks for molecular property prediction and drug discovery, Bioinformatics\u00a038(9), 2579\u20132586 (2022).\u00a0https:\/\/doi.org\/10.1093\/bioinformatics\/btac112","DOI":"10.1093\/bioinformatics\/btac112"},{"key":"3_CR7","doi-asserted-by":"publisher","unstructured":"Stokes,\u00a0J.M., et al.: A Deep Learning Approach to Antibiotic Discovery, Cell\u00a0181(2), 475\u2013483, (2020).\u00a0https:\/\/doi.org\/10.1016\/j.cell.2020.04.001","DOI":"10.1016\/j.cell.2020.04.001"},{"key":"3_CR8","doi-asserted-by":"publisher","unstructured":"Horna Quintana, G., Silva Diaz,\u00a0M., Vicente Taboada, W., Tamariz Ortiz y, J.: Concentraci\u00f3n m\u00ednima inhibitoria y concentraci\u00f3n m\u00ednima bactericida de ciprofloxacina en bacterias uropat\u00f3genas aisladas en el Instituto Nacional de Enfermedades Neopl\u00e1sicas, Rev. Med. Hered. 16(1), 39 (2012).\u00a0https:\/\/doi.org\/10.20453\/rmh.v16i1.862","DOI":"10.20453\/rmh.v16i1.862"},{"key":"3_CR9","doi-asserted-by":"publisher","unstructured":"Benet,\u00a0L.Z., Hosey,\u00a0C.M., Ursu, O., Oprea  y,\u00a0T.I.: BDDCS, the Rule of 5 and drugability, Adv. Drug Deliv. Rev.\u00a0101, 89\u201398 (2016).\u00a0https:\/\/doi.org\/10.1016\/j.addr.2016.05.007","DOI":"10.1016\/j.addr.2016.05.007"},{"key":"3_CR10","doi-asserted-by":"publisher","unstructured":"Mendez,\u00a0D., et al.: ChEMBL: towards direct deposition of bioassay data, Nucleic Acids Res.\u00a047(D1), D930\u2013D940 (2019).\u00a0https:\/\/doi.org\/10.1093\/nar\/gky1075","DOI":"10.1093\/nar\/gky1075"},{"key":"3_CR11","unstructured":"Target: Quinolone resistance protein norA. (s. f.). EMBL- EBI: EMBL\u2019s European Bioinformatics Institute| EMBL\u2019sEuropeanBionformatics Institute. https:\/\/www.ebi.ac.uk\/chembl\/target_report_card\/CHEMBL5114\/"},{"issue":"3","key":"3_CR12","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1517\/17460441.2016.1146250","volume":"11","author":"A Lima","year":"2016","unstructured":"Lima, A., Philot, E., Trossini, G., Scott, L., Maltarollo, V., Honorio, K.: Use of machine learning approaches for novel drug discovery. Expert Opin. Drug Discov. 11(3), 225\u2013239 (2016)","journal-title":"Expert Opin. Drug Discov."},{"key":"3_CR13","doi-asserted-by":"publisher","unstructured":"Yap,\u00a0C.W.: PaDEL-descriptor: An open source software to calculate molecular descriptors and fingerprints, J. Comput. Chem. 32(7) 1466\u20131474 (2011).\u00a0https:\/\/doi.org\/10.1002\/jcc.21707","DOI":"10.1002\/jcc.21707"},{"issue":"22","key":"3_CR14","doi-asserted-by":"publisher","first-page":"5277","DOI":"10.3390\/molecules25225277","volume":"25","author":"L Patel","year":"2020","unstructured":"Patel, L., Shukla, T., Huang, X., Ussery, D., Wang, S.: Machine learning methods in drug discovery. Molecules 25(22), 5277 (2020)","journal-title":"Molecules"},{"issue":"10","key":"3_CR15","doi-asserted-by":"publisher","first-page":"1165","DOI":"10.1080\/17460441.2020.1776696","volume":"15","author":"M Serafim","year":"2020","unstructured":"Serafim, M., et al.: The application of machine learning techniques to innovative antibacterial discovery and development. Expert Opin. Drug Discov. 15(10), 1165\u20131180 (2020)","journal-title":"Expert Opin. Drug Discov."},{"key":"3_CR16","doi-asserted-by":"crossref","unstructured":"Kowalewski, J., Ray, A.: Predicting novel drugs for SARS-CoV-2 using machine learning from a >10 million chemical space. Heliyon 6(8),\u00a0e04639 (2020)","DOI":"10.1016\/j.heliyon.2020.e04639"},{"key":"3_CR17","unstructured":"Probst,\u00a0P., Boulesteix,\u00a0A.L., Bischl y, B.: Tunability: Importance of Hyperparameters of Machine Learning Algorithms, p. 32"},{"key":"3_CR18","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.mimet.2018.04.003","volume":"148","author":"H Kavuncuoglu","year":"2018","unstructured":"Kavuncuoglu, H., Kavuncuoglu, E., Karatas, S., Benli, B., Sagdic, O., Yalcin, H.: Prediction of the antimicrobial activity of walnut (Juglans regia L.) kernel aqueous extracts using artificial neural network and multiple linear regression. J. Microbiol. Methods 148, 78\u201386 (2018)","journal-title":"J. Microbiol. Methods"}],"container-title":["Communications in Computer and Information Science","Applied Computer Sciences in Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-20611-5_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,20]],"date-time":"2022-12-20T20:10:49Z","timestamp":1671567049000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-20611-5_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031206108","9783031206115"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-20611-5_3","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"23 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WEA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Workshop on Engineering Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bogot\u00e1","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Colombia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"woea2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ieee.udistrital.edu.co\/wea2022","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"143","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"39","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.83","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.73","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}