Author

Vinita Periwal

University of CambridgeORCID 0000-0002-3583-0413Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Kiran Raosaheb PatiliD· 2 shared Anna E. LindelliD· 1 shared Athanasios TypasiD· 1 shared Bini RamachandraniD· 1 shared Hilal Ozgur· 1 shared Indra RouxiD· 1 shared Natalia GabrielliiD· 1 shared Nonantzin Beristain CovarrubiasiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersMicrobiology

Kiran Raosaheb PatilORCID

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2 papers

Recent·Most cited

Impact of low-calorie sweeteners on gut bacteria is modulated by common xenobiotics

Sonja Blasche, Vinita Periwal, Nonantzin Beristain Covarrubias, Anna E. Lindell, Indra Roux, Stephan Kamrad, Simone Mozzachiodi, Rob Bradley, Hilal Ozgur, Bini Ramachandran, Vladimı́r Beneš, Kiran Raosaheb Patil

This study investigates interactions between low-calorie sweeteners and xenobiotics on gut bacteria, finding synergistic effects that alter bacterial growth and host cell responses.

Molecular Systems Biology · Jun 25, 2026Peer-reviewedMicrobiology

Bioactivity assessment of natural compounds using machine learning models based on drug target similarity

Vinita Periwal, Stefan Oliver Bassler, Sergej Andrejev, Natalia Gabrielli, Kiran Raosaheb Patil, Athanasios Typas

This paper develops a machine learning model to predict protein targets of natural compounds based on drug target similarity, identifying potential therapeutics with experimental validation.

bioRxiv · Nov 6, 2020 · PreprintBioinformatics