Hongbin Yang

Orcid: 0000-0001-6740-1632

Affiliations:
  • East China University of Science and Technology (ESUST), Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, China
  • University of Cambridge, Department of Chemistry, UK (2019-2022)
  • East China University of Science and Technology (ESUST), School of Pharmacy, China (PhD 2019)


According to our database1, Hongbin Yang authored at least 10 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Merging bioactivity predictions from cell morphology and chemical fingerprint models using similarity to training data.
J. Cheminformatics, December, 2023

Chemical rules for optimization of chemical mutagenicity via matched molecular pairs analysis and machine learning methods.
J. Cheminformatics, December, 2023

2022
IDL-PPBopt: A Strategy for Prediction and Optimization of Human Plasma Protein Binding of Compounds via an Interpretable Deep Learning Method.
J. Chem. Inf. Model., 2022

2021
Discovery of Natural Products Targeting NQO1 via an Approach Combining Network-Based Inference and Identification of Privileged Substructures.
J. Chem. Inf. Model., 2021

Network-based modeling of herb combinations in traditional Chinese medicine.
Briefings Bioinform., 2021

2019
In Silico Prediction of Endocrine Disrupting Chemicals Using Single-Label and Multilabel Models.
J. Chem. Inf. Model., 2019

Computational Prediction of Site of Metabolism for UGT-Catalyzed Reactions.
J. Chem. Inf. Model., 2019

admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties.
Bioinform., 2019

2018
ADMETopt: A Web Server for ADMET Optimization in Drug Design via Scaffold Hopping.
J. Chem. Inf. Model., 2018

Multiclassification Prediction of Enzymatic Reactions for Oxidoreductases and Hydrolases Using Reaction Fingerprints and Machine Learning Methods.
J. Chem. Inf. Model., 2018


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