{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T13:00:31Z","timestamp":1782997231758,"version":"3.54.5"},"reference-count":45,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Joint Research Funds for Medical and Engineering and Scientific Research at Shanghai Jiao Tong University","award":["YG2021ZD02"],"award-info":[{"award-number":["YG2021ZD02"]}]},{"name":"Joint Research Funds for Medical and Engineering and Scientific Research at Shanghai Jiao Tong University","award":["YG2019ZDA12"],"award-info":[{"award-number":["YG2019ZDA12"]}]},{"name":"Joint Research Funds for Medical and Engineering and Scientific Research at Shanghai Jiao Tong University","award":["YG2019GD01"],"award-info":[{"award-number":["YG2019GD01"]}]},{"name":"Joint Research Funds for Medical and Engineering and Scientific Research at Shanghai Jiao Tong University","award":["ZH2018QNA41"],"award-info":[{"award-number":["ZH2018QNA41"]}]},{"name":"SJTU JiRLMDS Joint Research Fund"},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["19430750600"],"award-info":[{"award-number":["19430750600"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ministry of Science and Technology of China"},{"name":"Key Research Area","award":["2016YFA0501703"],"award-info":[{"award-number":["2016YFA0501703"]}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["32030063"],"award-info":[{"award-number":["32030063"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61832019"],"award-info":[{"award-number":["61832019"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["32070662"],"award-info":[{"award-number":["32070662"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["62172274"],"award-info":[{"award-number":["62172274"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,19]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Recently, peptide-based drugs have gained unprecedented interest in discovering and developing antifungal drugs due to their high efficacy, broad-spectrum activity, low toxicity and few side effects. However, it is time-consuming and expensive to identify antifungal peptides (AFPs) experimentally. Therefore, computational methods for accurately predicting AFPs are highly required. In this work, we develop AFP-MFL, a novel deep learning model that predicts AFPs only relying on peptide sequences without using any structural information. AFP-MFL first constructs comprehensive feature profiles of AFPs, including contextual semantic information derived from a pre-trained protein language model, evolutionary information, and physicochemical properties. Subsequently, the co-attention mechanism is utilized to integrate contextual semantic information with evolutionary information and physicochemical properties separately. Extensive experiments show that AFP-MFL outperforms state-of-the-art models on four independent test datasets. Furthermore, the SHAP method is employed to explore each feature contribution to the AFPs prediction. Finally, a user-friendly web server of the proposed AFP-MFL is developed and freely accessible at http:\/\/inner.wei-group.net\/AFPMFL\/, which can be considered as a powerful tool for the rapid screening and identification of novel AFPs.<\/jats:p>","DOI":"10.1093\/bib\/bbac606","type":"journal-article","created":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T03:07:22Z","timestamp":1673492842000},"source":"Crossref","is-referenced-by-count":64,"title":["AFP-MFL: accurate identification of antifungal peptides using multi-view feature learning"],"prefix":"10.1093","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4644-1464","authenticated-orcid":false,"given":"Yitian","family":"Fang","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University School of Life Sciences and Biotechnology, , Shanghai 200030 , China"},{"name":"Peng Cheng Laboratory , Shenzhen, Guangdong 518055 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fan","family":"Xu","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory , Shenzhen, Guangdong 518055 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lesong","family":"Wei","sequence":"additional","affiliation":[{"name":"University of Tsukuba Department of Computer Science, , Tsukuba 3058577 , Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Jiang","sequence":"additional","affiliation":[{"name":"Shandong University School of Software, , Jinan, Shandong 250100 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Chen","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory , Shenzhen, Guangdong 518055 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1444-190X","authenticated-orcid":false,"given":"Leyi","family":"Wei","sequence":"additional","affiliation":[{"name":"Shandong University School of Software, , Jinan, Shandong 250100 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong-Qing","family":"Wei","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University School of Life Sciences and Biotechnology, , Shanghai 200030 , China"},{"name":"Peng Cheng Laboratory , Shenzhen, Guangdong 518055 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2023,1,11]]},"reference":[{"issue":"4","key":"2023011917115189800_ref1","doi-asserted-by":"crossref","first-page":"57","DOI":"10.3390\/jof3040057","article-title":"Global and multi-national prevalence of fungal diseases-estimate 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