Treffer: Developing a Naïve Bayesian Classification Model with PI3Kγ structural features for virtual screening against PI3Kγ: Combining molecular docking and pharmacophore based on multiple PI3Kγ conformations
Title:
Developing a Naïve Bayesian Classification Model with PI3Kγ structural features for virtual screening against PI3Kγ: Combining molecular docking and pharmacophore based on multiple PI3Kγ conformations
Authors:
Jiang, Yingmin a, 1, Xiong, Wendian a, 1, Jia, Lei a, 1, Xu, Lei b, Cai, Yanfei a, Chen, Yun a, Jin, Jian a, Gao, Mingzhu c, d, ∗∗, Zhu, Jingyu a, ∗
Source:
In European Journal of Medicinal Chemistry 15 December 2022 244
Database:
ScienceDirect