Ruben Abagyan

Professor

University of California, San Diego

United States

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Ruben Abagyan is a Professor at the University of California San Diego, USA. His research areas encompass the generation of conformer ensembles, the analysis of adverse events associated with glucagon-like peptide-1 receptor agonists, and the identification of anti-amoebic compounds. His recent contributions include developments in graph-convolutional neural networks, fatty acid biosynthesis, Alzheimer's disease gene networks, and safety data analyses in clinical trials.

Articles (13)

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2020

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2020

Collaborators (4)

Anjan Debnath

University of California, San Diego

UNITED STATES

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Shirley Tsunoda

skaggs school of pharmacy and pharmaceutical sciences university of california san diego la jolla california usa

UNITED STATES

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Gretchen Ehrenkaufer

Stanford University School of Medicine

UNITED STATES

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Da Shi

Teaching Assistant

University of California, San Diego

UNITED STATES

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Ruben Abagyan

Research Interests

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Articles (13)

Efficient Generation of Conformer Ensembles Using Internal Coordinates and a Generative Directional Graph Convolution Neural Network

Authors’ Response to Peer Reviews of “Thyroid Hyperplasia and Neoplasm Adverse Events Associated With Glucagon-Like Peptide-1 Receptor Agonists in the Food and Drug Administration Adverse Event Reporting System: Retrospective Analysis”

Thyroid Hyperplasia and Neoplasm Adverse Events Associated With Glucagon-Like Peptide-1 Receptor Agonists in the Food and Drug Administration Adverse Event Reporting System: Retrospective Analysis

High-throughput phenotypic screen identifies a new family of potent anti-amoebic compounds

Graph-Convolutional Neural Net Model of the Statistical Torsion Profiles for Small Organic Molecules

Control of Unsaturation in De Novo Fatty Acid Biosynthesis by FabA

Mapping the gene network landscape of Alzheimer’s disease through integrating genomics and transcriptomics

Retrospective analysis of clinical trial safety data for pembrolizumab reveals the effect of co-occurring infections on immune-related adverse events

Structure based design and synthesis of novel Toll-like Receptor 2 (TLR 2) lipid antagonists

Mtor inhibitors associated with higher cardiovascular adverse events—A large population database analysis

Antineoplastic kinase inhibitors: A new class of potent anti-amoebic compounds

HMG-CoA Reductase Inhibitors as Drug Leads against Naegleria fowleri

Druggable exosites of the human kino-pocketome

Collaborators (4)

Anjan Debnath

Shirley Tsunoda

Gretchen Ehrenkaufer

Da Shi

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