Author

N. Katagihallimath

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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Biochemistry· 1 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Research Focus:perturbation response prediction· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

A. Ghatak· 2 shared A. P. Shanbhag· 2 shared S. Datta· 2 shared S. Rajagopal· 2 shared D. Mookherjee· 1 shared J. Venkataraman· 1 shared R. K. S· 1 shared R. S.· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 32 mutual co-author links

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2 shared papersBiochemistry

A. Ghatak

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2 papers

Recent·Most cited

Flexibility of Short-chain dehydrogenase is interconnected to its promiscuity for the reduction of multiple ketone intermediates

A. P. Shanbhag, S. Rajagopal, A. Ghatak, N. Katagihallimath, R. S., S. Datta

The paper uses machine learning to identify promiscuous SDRs based on physicochemical properties, showing a correlation between C-terminal structure, melting temperature, and catalytic efficiency.

bioRxiv · Jul 5, 2021Biochemistry

Maximization of non-nitrogenous metabolite production in E. coli using population systems biology

S. Rajagopal, A. Ghatak, D. Mookherjee, R. V. Hmar, A. P. Shanbhag, J. Venkataraman, N. Katagihallimath, R. K. S, S. Datta

This paper develops a population systems biology algorithm to enhance non-nitrogenous metabolite production in E. coli by considering transcriptome diversity and introducing nitrogen-swap strategies.

bioRxiv · Dec 27, 2019Bioengineering