Author

Garik Petrosyan

Stanford University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2 Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 4 Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Khachik SmbatyaniD· 3 shared Tsolak GhukasyaniD· 3 shared Aram DavtyaniD· 2 shared Garegin A. PapoianiD· 2 shared Tigran Aghajanyan· 2 shared Vahagn AltunyaniD· 2 shared Vahram ArakeloviD· 2 shared A. KrokhotiniD· 1 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersBiophysics

Khachik SmbatyanORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Evaluating Autonomous LLM Agents Across Molecular Prediction and Optimization Benchmarks

Khachik Smbatyan, Tsolak Ghukasyan, Garik Petrosyan

This paper evaluates autonomous LLM agents in molecular prediction and optimization benchmarks, showing they can develop methods that match or exceed human-developed approaches in several tasks.

bioRxiv · Oct 8, 2026 · PreprintBioinformatics

Overcoming the accuracy-generalization tradeoff in docking and scoring for prospective virtual screening

Garik Petrosyan, Vahagn Altunyan, Tsolak Ghukasyan, Tigran M. Abramyan, Grigor Arakelov, Aram Davtyan, Tigran Aghajanyan, Iskander Nakipov, Gagik Navasardyan, Arman Fahradyan, Hazarapet Tunanyan, Arman Simonyan, Paweł Janczyk, DAS Silva, Hayk Saribekyan, , Garegin A. Papoian

This paper introduces DODock and DOScore, hybrid ML/physics frameworks for docking and scoring that improve accuracy while generalizing better to novel molecules, showing significant improvements in hit rates for virtual screening.

bioRxiv · Aug 3, 2026 · PreprintBiophysics

A Bivalent Molecular Glue Linking Lysine Acetyltransferases to Oncogene-induced Cell Death

Meredith Nicole Nix, Sai P. Gourisankar, Kevin Bowman, Sabin A. Nettles, H H Yang, Brendan G. Dwyer, Roman C. Sarott, Hind Z. Abuzaid, Michael M. Martinez, Nick A. Phillips, Vincent Cabaud Gibouin, Artur Hakobyan, Vahram Arakelov, Garik Petrosyan, Aram Davtyan, , Gerald R. Crabtree

This paper develops KAT-TCIPs to induce cell death in diffuse large B cell lymphoma by redirecting p300 and CBP to activate programmed cell death genes repressed by BCL6.

Cell · Jul 20, 2026Peer-reviewedCancer Biology

Smart Distributed Data Factory: Volunteer Computing Platform for Active Learning-Driven Molecular Data Acquisition

Tsolak Ghukasyan, Vahagn Altunyan, Aram Bughdaryan, Tigran Aghajanyan, Khachik Smbatyan, Garegin A. Papoian, Garik Petrosyan

The paper introduces SDDF, a platform using volunteer computing and active learning to efficiently generate molecular conformation datasets for drug discovery.

Scientific Reports · Feb 27, 2025Peer-reviewedBiophysics