Jiebin Fang

According to our database, Jiebin Fang authored at least 3 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

DGMM: A Deep Learning-Genetic Algorithm Framework for Efficient Lead Optimization in Drug Discovery.

Jiebin Fang, Churu Mao, Yuchen Zhu, Xiaoming Chen, Yun Huang, Wanjing Ding, Chang-Yu Hsieh, Zhongjun Ma

J. Chem. Inf. Model., 2025

2024

Human-level molecular optimization driven by mol-gene evolution.

Jiebin Fang, Churu Mao, Yuchen Zhu, Xiaoming Chen, Chang-Yu Hsieh, Zhongjun Ma

CoRR, 2024

2022

PFmulDL: a novel strategy enabling multi-class and multi-label protein function annotation by integrating diverse deep learning methods.

Weiqi Xia, Lingyan Zheng, Jiebin Fang, Fengcheng Li, Ying Zhou, Zhenyu Zeng, Bing Zhang, Zhaorong Li, Honglin Li, Feng Zhu

Comput. Biol. Medicine, 2022