Author

Ya-Qin Zhang

National Institutes of HealthORCID 0000-0003-1851-7932Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:metabolism & bioenergetics· 1

Frequent Co-Authors

Bereketeab HaileselassieiD· 1 shared Chandrayee GhoshiD· 1 shared Eden Demissie Alamaw· 1 shared Electron KebebewiD· 1 shared Jiangnan HuiD· 1 shared Lin Ye· 1 shared Matthew D. HalliD· 1 shared Maura J. O’NeilliD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCancer Biology

Bereketeab HaileselassieORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintMar 19, 2026

Dual targeting of PDPK1 and BRAF V600E is synthetically lethal

Tejinder Pal Khaket, Chandrayee Ghosh, Zhongyue Yang…·Electron Kebebew

This study shows that targeting PDPK1 and BRAF V600E together is a potent therapy for anaplastic thyroid cancer, leading to tumor regression through synergistic signaling inhibition and apoptosis.

DOI 10.64898/2026.03.15.711663

humanexperimental assay

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BioinformaticsACS Pharmacology & Translational SciencePeer-reviewedJul 22, 2024

A Comprehensive Collection of Pain and Opioid Use Disorder Compounds for High-Throughput Screening and Artificial Intelligence-Driven Drug Discovery

Xin Hu, Paul Shinn, Zina Itkin…·Matthew D. Hall

The paper creates a comprehensive small molecule library for pain and opioid use disorder with physical samples and an AI-driven platform for drug discovery.

3 citations

machine learning (classical)experimental assay

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