{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T11:08:04Z","timestamp":1778756884006,"version":"3.51.4"},"reference-count":59,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010447","name":"Ministry of Research, Technology and Higher Education","doi-asserted-by":"publisher","award":["1\/E1\/KP.PTNBH\/2021"],"award-info":[{"award-number":["1\/E1\/KP.PTNBH\/2021"]}],"id":[{"id":"10.13039\/501100010447","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>Coronavirus disease 2019 pandemic spreads rapidly and requires an acceleration in the process of drug discovery. Drug repurposing can help accelerate the drug discovery process by identifying new efficacy for approved drugs, and it is considered an efficient and economical approach. Research in drug repurposing can be done by observing the interactions of drug compounds with protein related to a disease (DTI), then predicting the new drug-target interactions. This study conducted multilabel DTI prediction using the stack autoencoder-deep neural network (SAE-DNN) algorithm. Compound features were extracted using PubChem fingerprint, daylight fingerprint, MACCS fingerprint, and circular fingerprint. The results showed that the SAE-DNN model was able to predict DTI in COVID-19 cases with good performance. The SAE-DNN model with a circular fingerprint dataset produced the best average metrics with an accuracy of 0.831, recall of 0.918, precision of 0.888, and F-measure of 0.89. Herbal compounds prediction results using the SAE-DNN model with the circular, daylight, and PubChem fingerprint dataset resulted in 92, 65, and 79 herbal compounds contained in herbal plants in Indonesia respectively.<\/jats:p>","DOI":"10.3390\/bdcc5040075","type":"journal-article","created":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T21:52:32Z","timestamp":1639086752000},"page":"75","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Screening of Potential Indonesia Herbal Compounds Based on Multi-Label Classification for 2019 Coronavirus Disease"],"prefix":"10.3390","volume":"5","author":[{"given":"Aulia","family":"Fadli","sequence":"first","affiliation":[{"name":"Department of Computer Science, Faculty of Mathematics and Natural Sciences, IPB University, Bogor 16680, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3682-244X","authenticated-orcid":false,"given":"Wisnu Ananta","family":"Kusuma","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Faculty of Mathematics and Natural Sciences, IPB University, Bogor 16680, Indonesia"},{"name":"Tropical Biopharmaca Research Center, IPB University, Bogor 16680, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Annisa","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Faculty of Mathematics and Natural Sciences, IPB University, Bogor 16680, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8201-7807","authenticated-orcid":false,"given":"Irmanida","family":"Batubara","sequence":"additional","affiliation":[{"name":"Tropical Biopharmaca Research Center, IPB University, Bogor 16680, Indonesia"},{"name":"Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Bogor 16680, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rudi","family":"Heryanto","sequence":"additional","affiliation":[{"name":"Tropical Biopharmaca Research Center, IPB University, Bogor 16680, Indonesia"},{"name":"Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Bogor 16680, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1016\/S0140-6736(20)30211-7","article-title":"Epidemiological and Clinical Characteristics of 99 Cases of 2019 Novel Coronavirus Pneumonia in Wuhan, China: A Descriptive Study","volume":"395","author":"Chen","year":"2020","journal-title":"Lancet"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1038\/s41564-020-0695-z","article-title":"The Species Severe Acute Respiratory Syndrome-Related Coronavirus: Classifying 2019-NCoV and Naming It SARS-CoV-2","volume":"5","author":"Gorbalenya","year":"2020","journal-title":"Nat. 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