Author

Jeremy R. Ash

North Carolina State UniversityORCID 0000-0002-8041-8524Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:benchmark study· 2 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Organism:human· 1

Frequent Co-Authors

Akshat Shirish ZalteiD· 1 shared Alan C. ChengiD· 1 shared Albert A. AntolíniD· 1 shared Alberto CalderoneiD· 1 shared Alicia AmadoziD· 1 shared Amin AllamiD· 1 shared Amir B. K. ForoushaniiD· 1 shared Anastasios DrosouiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Akshat Shirish ZalteORCID

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2 papers

Recent·Most cited

Model Validation Protocols for Machine Learning in Small Molecule Drug Discovery

Srijit Seal, Akshat Shirish Zalte, David Alencar Araripe, Renan Augusto Gomes, Deepa Korani, Mrinal Shekhar, Vishal B. Siramshetty, Arijit Patra, Zhongyu Mou, Xiang Yu, Daniel Kühn, Nils Weskamp, Jeremy R. Ash, Alan C. Cheng, Cheng Fang, , Cas Wognum

The paper presents a model validation framework for molecular property prediction models in drug discovery, revealing four failure modes and showing that common evaluation protocols overestimate performance.

bioRxiv · Aug 24, 2026 · PreprintBioinformatics

A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction

Michael P. Menden, Dennis Y.Q. Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan, Thomas Von Yu, Jaewoo Kang, Minji Jeon, Russell D. Wolfinger, Tin Nguyen, Mikhail Zaslavskiy, Jordi Abante, Bárbara Schmitz‐Abecassis, Nanne Aben, , Denis Fourches

The paper presents a large-scale cancer pharmacogenomic screen with 11,576 experiments on 910 drug combinations across 85 cancer cell lines, enabling crowd-sourced prediction of synergistic drug pairs and biomarkers.

Nature Communications · Jun 17, 2019Peer-reviewedBioinformatics