Author

Harkirat Singh Arora

University of MichiganORCID 0000-0001-6866-8814Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:drug response / drug discovery· 2 Approach:machine learning (classical)· 2 Organism:E. coli· 1 Assay:metabolomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Sriram ChandrasekaraniD· 2 shared Aaron M. RobidaiD· 1 shared David H. ShermaniD· 1 shared Debmalya Sarkar· 1 shared Jon Albo· 1 shared Katherine L. LeviD· 1 shared Madeline R. ShayiD· 1 shared Margaret M. ReuteriD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersSystems Biology

Sriram ChandrasekaranORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintApr 17, 2026

A Modular Machine Learning Framework for Small-Molecule Drug Repurposing Based on Organ Permeability, Target Binding, and Biomarker Modulation

Harkirat Singh Arora, Saroj Dhakal, Yorgos M. Psarellis…·Nikhil Pillai

SCOUT is a machine learning framework for drug repurposing that integrates organ permeability, target binding, and biomarker modulation to prioritize candidates with high therapeutic relevance.

DOI 10.64898/2026.04.14.718573

machine learning (classical)drug response / drug discovery

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Systems BiologybioRxivPreprintNov 25, 2024

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

Margaret M. Reuter, Katherine L. Lev, Jon Albo…·Sriram Chandrasekaran

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

7 citations

E. colimetabolomics

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