Fu Lin

发表

e-Sweet: A Machine-Learning Based Platform for the Prediction of Sweetener and Its Relative Sweetness

Wenxin Xu, Fu Lin, Suqing Zheng, 2019, Front. Chem..

Proposed Hydrogen-Bonding Index of Donor or Acceptor Reflecting Its Intrinsic Contribution to Hydrogen-Bonding Strength

Renxiao Wang, Zhan-Ting Li, Qing Tang, 2017, J. Chem. Inf. Model..

e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-Learning Methods

Fu Lin, Yong Xu, Chengwei Zhao, 2018, Front. Chem..

Prediction of Hemolytic Toxicity for Saponins by Machine-Learning Methods.

Suqing Zheng, Wenping Chang, Yong Xu, 2019, Chemical research in toxicology.

Computational Prediction of a New ADMET Endpoint for Small Molecules: Anticommensal Effect on Human Gut Microbiota

Guang Liang, Wenping Chang, Suqing Zheng, 2018, J. Chem. Inf. Model..

e-Graphene: A Computational Platform for the Prediction of Graphene-Based Drug Delivery System by Quantum Genetic Algorithm and Cascade Protocol

Suqing Zheng, Yong Xu, Fu Lin, 2021, Frontiers in Chemistry.

Consensus Prediction of Human Gut Microbiota-Mediated Metabolism Susceptibility for Small Molecules by Machine Learning, Structural Alerts, and Dietary Compounds-Based Average Similarity Methods

G. Liang, Suqing Zheng, Yong Xu, 2022, J. Chem. Inf. Model..

In Silico Prediction of Hemolytic Toxicity on the Human Erythrocytes for Small Molecules by Machine-Learning and Genetic Algorithm.

G. Liang, Suqing Zheng, Wenping Chang, 2020, Journal of medicinal chemistry.

VFFDT: A New Software for Preparing AMBER Force Field Parameters for Metal-Containing Molecular Systems

Fu Lin, Yong Xu, Qing Tang, 2016, J. Chem. Inf. Model..

Quantitative Prediction of Hemolytic Toxicity for Small Molecules and Their Potential Hemolytic Fragments by Machine Learning and Recursive Fragmentation Methods

Yong Xu, Jun Xiong, Guang Liang, 2020, J. Chem. Inf. Model..