Evan N. Feinberg

Binghamton University — United States

Computer Science · Physical Sciences

15h-index5.3kcitations34works0.02yr avg
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Research Topics

Computational Drug Discovery Methods(13), Receptor Mechanisms and Signaling(9), Protein Structure and Dynamics(8), Machine Learning in Materials Science(8), Neuropeptides and Animal Physiology(7)

Publications33 total

Author Correction: Structural insights into μ-opioid receptor activation
Nature·2020· 16 citedOpen Access
Dopamine receptor cooperativity synergistically drives dyskinesia, motor behavior, and striatal GABA neurotransmission in hemiparkinsonian rats
Neuropharmacology·2020· 4 cited
I Have an Owie!!!
Oxford University Press eBooks·2020
Improvement in ADMET Prediction with Multitask Deep Featurization
Journal of Medicinal Chemistry·2020· 189 cited
CCDC 1899926: Experimental Crystal Structure Determination
The Cambridge Structural Database·2020Open Access
Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization
arXiv (Cornell University)·2019· 15 citedOpen Access
Synthesis of spiro-2,6-dioxopiperazine and spiro-2,6-dioxopyrazine scaffolds using amino acids in a three-component reaction to generate potential Sigma-1 (σ1) receptor selective ligands
European Journal of Medicinal Chemistry·2018· 6 citedOpen Access
PotentialNet for Molecular Property Prediction
ACS Central Science·2018· 492 citedOpen Access
Machine Learning Harnesses Molecular Dynamics to Discover New $\mu$ Opioid Chemotypes
arXiv (Cornell University)·2018· 4 citedOpen Access
Spatial Graph Convolutions for Drug Discovery
2018· 4 cited
Machine Learning Harnesses Molecular Dynamics to Discover New $μ$ Opioid Chemotypes
arXiv (Cornell University)·2018· 2 citedOpen Access
PotentialNet for Molecular Property Prediction
arXiv (Cornell University)·2018Open Access
Binding Pathway of Opiates to μ-Opioid Receptors Revealed by Machine Learning
Biophysical Journal·2018· 12 citedOpen Access
Kinetic Machine Learning Unravels Ligand-Directed Conformational Change of μ Opioid Receptor
Biophysical Journal·2018· 3 citedOpen Access
MoleculeNet: a benchmark for molecular machine learning
Chemical Science·2017· 2.8k citedOpen Access
Kinetic Machine Learning Unravels Ligand-Directed Conformational Change of μ Opioid Receptor
2017· 5 citedOpen Access
Discovery of novel brain permeable and G protein-biased beta-1 adrenergic receptor partial agonists for the treatment of neurocognitive disorders
PLoS ONE·2017· 30 citedOpen Access
Atomic Convolutional Networks for Predicting Protein-Ligand Binding\n Affinity
arXiv (Cornell University)·2017· 106 citedOpen Access
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
arXiv (Cornell University)·2017· 98 citedOpen Access
MoleculeNet: A Benchmark for Molecular Machine Learning
arXiv (Cornell University)·2017· 48 citedOpen Access
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Frequent Co-authors

Vijay S. Pande(18), Bharath Ramsundar(7), AJ Venkatakrishnan(6), Ron O. Dror(6), Amir Barati Farimani(6), Zhenqin Wu(4), Aashish Manglik(4), Adrian L. Sanborn(4), Kathryn E. Livingston(4), Ralf C. Kling(4), Sébastien Granier(4), Peter Gmeiner(4), William I. Weis(4), Jan Steyaert(4), Brian K. Kobilka(4), David A. Scheinberg(4), Rajendra Uprety(4), Gavril W. Pasternak(4), Susruta Majumdar(4), Joseph Gomes(3)