Heng Luo
Orcid: 0000-0001-5192-8878Affiliations:
- BenevolentAI, NY, US
- IBM Thomas J Watson Research Center, Yorktown Heights, NY, USA
- NuMedii Inc, Palo Alto, CA, USA
- US Food and Drug Administration, Jefferson, AR, USA
- University of Arkansas for Medical Sciences, Little Rock, AR, USA
- University of Arkansas at Little Rock, AR, USA
- Shanghai Jiao Tong University, Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, China
According to our database1,
Heng Luo
authored at least 14 papers
between 2009 and 2020.
Collaborative distances:
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Bibliography
2020
Combining Docking Pose Rank and Structure with Deep Learning Improves Protein-Ligand Binding Mode Prediction over a Baseline Docking Approach.
J. Chem. Inf. Model., 2020
2018
IBM J. Res. Dev., 2018
BMC Bioinform., 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
An Interpretable End-to-End Framework for Drug-Target Interaction Prediction Through Deep Neural Representation.
Proceedings of the AMIA 2018, 2018
2017
Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017
2015
Understanding and predicting binding between human leukocyte antigens (HLAs) and peptides by network analysis.
BMC Bioinform., December, 2015
2014
<i>DDI-CPI</i>, a server that predicts drug-drug interactions through implementing the chemical-protein interactome.
Nucleic Acids Res., 2014
Whole genome sequencing of 35 individuals provides insights into the genetic architecture of Korean population.
BMC Bioinform., 2014
Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists.
BMC Bioinform., 2014
2011
Exploring Off-Targets and Off-Systems for Adverse Drug Reactions via Chemical-Protein Interactome - Clozapine-Induced Agranulocytosis as a Case Study.
PLoS Comput. Biol., 2011
DRAR-CPI: a server for identifying drug repositioning potential and adverse drug reactions via the chemical-protein interactome.
Nucleic Acids Res., 2011
2009
SePreSA: a server for the prediction of populations susceptible to serious adverse drug reactions implementing the methodology of a chemical-protein interactome.
Nucleic Acids Res., 2009