Author

Debmalya Sarkar

University of Michigan

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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Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Aaron M. RobidaiD· 1 shared David H. ShermaniD· 1 shared Harkirat Singh AroraiD· 1 shared Jon Albo· 1 shared Katherine L. LeviD· 1 shared Madeline R. ShayiD· 1 shared Margaret M. ReuteriD· 1 shared Nate CiraiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

Aaron M. RobidaORCID

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1 paper

Recent·Most cited

Ultra-high-throughput screening of antimicrobial combination therapies using a two-stage transparent machine learning model

Margaret M. Reuter, Katherine L. Lev, Jon Albo, Harkirat Singh Arora, Nemo Liu, Shenghao Tan, Madeline R. Shay, Debmalya Sarkar, Aaron M. Robida, David H. Sherman, Rudy J. Richardson, Nate Cira, Sriram Chandrasekaran

This paper introduces M2D2, a two-stage ML model that identifies synergistic antimicrobial drug combinations and validates them experimentally against E. coli.

bioRxiv · Nov 25, 2024 · PreprintSystems Biology