“…AI technologies are driven by new ML algorithms, advances in computational power, and ever-increasing experimental data ( Bazoon et al., 2002 ; Pasquier and Hamodrakas, 2009 ). Advanced biotechnologies such as next-generation sequencing ( Dijk et al., 2014 ; Kim, 2019 ), cryo-electron microscopy, high-throughput screening ( Shin et al., 2016 ), medical digitization, and internet-of-things infrastructure ( Adrian et al., 1984 ; Atzori et al., 2010 ; Cai et al., 2019 ; Dubochet et al., 1988 ; Feng et al., 2012 ; Gupta et al., 2009 ; Li et al., 2013 ; Song et al, 2019 ) provide high-quality Big Data for the application of ML-based drug development. ML algorithms can be roughly divided into three kinds: unsupervised, supervised, and reinforced ( Ertel, 2017 ; Figueiredo and Jain, 2002 ; Kaelbling et al., 1996 ; Le, 2013 ; Piotr et al., 2006 ; Radford et al., 2015 ; Sahami, 1997 ; Sasakawa et al., 2010 ; Turian et al., 2010 ; Wang et al., 2019 ; Zhu and Goldberg, 2009 ).…”