Author

Akshar Lohith

University of California, Santa CruzORCID 0000-0001-7523-5259Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:experimental assay· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Derfel TercianoiD· 2 shared John B. MacMillaniD· 2 shared R. Scott LokeyiD· 2 shared Adam MurrayiD· 1 shared Aswad KhadilkariD· 1 shared Beverley M. RabbittsiD· 1 shared Matylda ZietekiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Derfel TercianoORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

MOAST: Mechanism of Action Similarity Tool

Akshar Lohith, Derfel Terciano, Adam Murray, John B. MacMillan, R. Scott Lokey

MOAST provides a rapid, accessible tool for predicting mechanism of action of compounds using KDE and CatBoost, achieving better accuracy than existing methods.

bioRxiv · Sep 15, 2025 · PreprintBioinformatics

Cell Painting in activated cells illuminates phenotypic dark space and uncovers novel drug mechanisms of action.

Matylda Zietek, Akshar Lohith, Derfel Terciano, Beverley M. Rabbitts, Aswad Khadilkar, John B. MacMillan, R. Scott Lokey

The paper uses Cell Painting to identify phenotypic effects of compounds in activated cells, revealing novel drug mechanisms and expanding phenotypic understanding.

bioRxiv · May 23, 2025 · PreprintSystems Biology