Work

Uncertainty-Aware Deep Learning and Structural Feature Analysis for Reliable Nephrotoxicity Prediction

Year: 2025

Type: article

Source: Journal of Chemical Information and Modeling

DOI: 10.1021/acs.jcim.5c01532

Authors: Jian-Wang Liu, Ke-Yi Liu, You-Chao Deng, Shao-Hua Shi, Xiang-Zheng Fu, Yue-Ping Jiang, Jing Fang, Qing Zhang, De-Jun Jiang, Shao Liu, Dong-Sheng Cao

Institutions: Central South University, Xiangya Hospital Central South University, Sichuan University, West China Hospital of Sichuan University, Hong Kong Baptist University

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Hong Kong Baptist University, National Natural Science Foundation of China, Natural Science Foundation of Hunan Province, Science and Technology Program of Hunan Province, Natural Science Foundation for Distinguished Young Scholars of Hunan Province, National Key Research and Development Program of China

Awards: G1175880132, G1886114153, G3103847931, G3529804732, G4953693378, G5280246696, G6253695479, G7632230142, G8590540938

OpenAlex ID: W4413311489

FWCI: 1.922

Cites: 71

Cited by: 4

Related to: 10