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Light-chain amyloidosis is one form of aggregation that can lead to severe safety risks in clinical development. Therefore, screening candidates with a less amyloidosis risk at the early stage can not only save the time and cost of antibody development but also improve the safety of antibody drugs. In this study, based on the dipeptide composition\u00a0of 742 amyloidogenic and 712 non-amyloidogenic antibody light chains, a support vector machine\u2013based model, AB-Amy, was trained to predict the light-chain amyloidogenic risk. The\u00a0AUC of AB-Amy reaches 0.9651. The excellent performance of AB-Amy indicates that it can be a useful tool for the in silico evaluation of the light-chain amyloidogenic risk to ensure the safety of antibody therapeutics under clinical development. A web server is freely available at http:\/\/i.uestc.edu.cn\/AB-Amy\/.<\/jats:p>","DOI":"10.1093\/abt\/tbad007","type":"journal-article","created":{"date-parts":[[2023,4,12]],"date-time":"2023-04-12T11:50:57Z","timestamp":1681300257000},"page":"147-156","source":"Crossref","is-referenced-by-count":13,"title":["AB-Amy: machine learning aided amyloidogenic risk prediction of therapeutic antibody light chains"],"prefix":"10.1093","volume":"6","author":[{"given":"Yuwei","family":"Zhou","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China School of Life Science and Technology, , Chengdu, Sichuan 611731 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziru","family":"Huang","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China School of Life Science and Technology, , Chengdu, Sichuan 611731 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yushu","family":"Gou","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China School of Life Science and Technology, , Chengdu, Sichuan 611731 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siqi","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China School of Life Science and Technology, , Chengdu, Sichuan 611731 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Yang","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China School of Computer Science and Engineering, , Chengdu, Sichuan 611731 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Zhanyuan Therapeutics Ltd. 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