Author

Tanisha Malpani

Indian Institute of Science BangalorePrimary ORCID profile (0009-0007-8065-8492 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Tanisha MalpaniiD2 papers · Indian Institute of Technology Madras

Biology Disciplines

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Pharmacology & Toxicology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Aashna Saxena· 1 shared Aishwarya Girish· 1 shared Aron Schulman· 1 shared Herbert LevineiD· 1 shared Huiyan YingiD· 1 shared Jordi MestresiD· 1 shared Kishore HariiD· 1 shared Kushal Haldar· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperSystems Biology

Aashna Saxena

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2 papers

Recent·Most cited

Off-target mapping enhances selectivity of machine learning-predicted CK2 inhibitors

Huiyan Ying, Weikaixin Kong, Aron Schulman, Nikola Panajotovikj, Mirva Pääkkönen, Tanisha Malpani, Ziaurrehman Tanoli, Otto Kauko, Jordi Mestres, Tero A. Aittokallio, Mitro Miihkinen

The paper develops an ML-powered drug discovery pipeline to design selective CK2 inhibitors with favorable off-target profiles, achieving a 90% hit-rate.

bioRxiv · Nov 12, 2025 · PreprintPharmacology & Toxicology

Low dimensionality of phenotypic space as an emergent property of coordinated teams in biological regulatory networks

Kishore Hari, Pradyumna Harlapur, Aashna Saxena, Kushal Haldar, Aishwarya Girish, Tanisha Malpani, Herbert Levine, Mohit Kumar Jolly

The paper shows that coordinated teams in biological networks lead to low-dimensional phenotypic space, with PC1 capturing most variance.

iScience · Jan 2, 2025Peer-reviewedSystems Biology