Author

S. Sambu

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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Pharmacology & Toxicology· 2

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Activity by Year

2022-2023 · peak 1/yr

2 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintSep 8, 2023

Machine Learning connects structure, bitterness & mechanism to antimalarial activity

S. Sambu

The paper uses machine learning to link molecular structure, bitterness, and mechanism to antimalarial activity, identifying promising chemistries for malaria treatment.

DOI 10.1101/2023.09.08.556833

machine learning (classical)drug response / drug discovery

𝕏 PostBluesky

Pharmacology & ToxicologybioRxivPreprintOct 25, 2022

TAS2R receptor response helps predict new antimicrobial molecules for the 21st century

S. Sambu

The paper develops AI models for antimicrobial molecule prediction by incorporating TAS2R receptor response data, improving classification accuracy over traditional physico-chemical parameters.

DOI 10.1101/2022.10.25.513703

deep learningdrug response / drug discovery

𝕏 PostBluesky