Author

A. Lakshminarayanan

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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Biophysics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Baldwin· 1 shared A. Giliberti· 1 shared A. Khan· 1 shared A. Le Bas· 1 shared A. M. Giltrap· 1 shared A. M. J. J. Bonvin· 1 shared A. Renieri· 1 shared A. Samal· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiophysics

A. Baldwin

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Author profile →

2 papers

Recent·Most cited

Machine learning models for prediction of xenobiotic chemicals with high propensity to transfer into human milk

S. Vijayaraghavan, A. Lakshminarayanan, N. Bhargava, J. Ravichandran, R. P. Vivek-Ananth, A. Samal

This study develops machine learning models to predict xenobiotic chemicals likely to transfer into human milk using a curated dataset of 375 chemicals and evaluates their performance on internal and external test data.

bioRxiv · Aug 6, 2023 · PreprintPharmacology & Toxicology

Cryptic pathogen-sugar interactions revealed by universal saturation transfer analysis

C. J. Buchanan, B. Gaunt, P. J. Harrison, Y. Yang, J. Liu, A. Khan, A. M. Giltrap, A. Le Bas, P. N. Ward, K. Gupta, M. Dumoux, S. Daga, N. Picchiotti, M. Baldassarri, E. Benetti, , B. G. Davis

This paper introduces uSTA, an NMR method to analyze protein-ligand interactions, revealing SARS-CoV-2 spike binds sialoside sugars via the NTD and showing variants-of-concern lose this binding.

bioRxiv · Apr 14, 2021Biophysics