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SaveWhy choose between prediction power and mechanistic insight in QSRR modeling? A case study of artificial membrane chromatography and machine learning
Nisterenko, Wiktor; Nicman, Julia; Deng, Jiayin; Singh, Yash Raj; Rozycka, Alicja; Greber, Katarzyna Ewa; Szulczyk, Daniel; Nowacki, Michal; Dawidowski, Maciej; Drabczyk, Anna; Jaskowska, Jolanta; Zareba, Przemyslaw; Kulaga, Damian; Staszewski, Marek; Wujec, Monika; Krzeczynski, Piotr; Michalak, Olga; Klejborowska, Greta; Scarpellini, Camilla; Augustyns, Koen; Dernovsek, Jaka; Tomasic, Tihomir; Korabecny, Jan; Fedorowicz, Joanna; Saczewski, Jaroslaw; Sawicki, Wieslaw; Ouyang, Defang; Ciura, Krzesimir Share Save Share Save Machine learning algorithms to predict spray dried protein/ peptide formulationsWei, Liping; Deng, Jiayin; Sun, Yang; Yang, Yuchen; Wang, Xin; Gao, Qingxue; Hou, Yanzhu; Sun, Shirui; Fodera, Vito; van de Weert, Marco; Cun, Dongmei; Ouyang, Defang; Yang, Mingshi Share Save Share Save Share Save Share Save Share Save Share Save Share Save Share Save Share Save Share Save Share Save Share Save Share Save Machine learning-driven insights into retention mechanism in IAM chromatography of anticancer sulfonamides: Implications for biological efficacyNisterenko, Wiktor; Zolnowska, Beata; Deng, Jiayin; Zgoda, Dominika; Rozycka, Alicja; Greber, Katarzyna Ewa; Pogorzelska, Aneta; Szafranski, Krzysztof; Bulakowska, Anita; Tomorowicz, Lukasz; Kawiak, Anna; Sawicki, Wieslaw; Ouyang, Defang; Slawinski, Jaroslaw; Ciura, Krzesimir Share Save Share Save Share Save Enhanced antibody-mediated cellular cytotoxicity of germline-like anti-HER2 antibodies through a point mutation in complementarity-determining regionsZhou, Guangyu; Zhang, Yunsen; Gu, Yuheng; Cao, Bihui; Fan, Xin; Yu, Di; Fu, Shengyu; Liu, Manting; Assaraf, Yehuda G.; Li, Yaping; Ouyang, Defang; Zhao, Qi Share Save 
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