Author

M. C. Zuta

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Microbiology· 1

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. T. Moin· 1 shared E. G. Villarreal· 1 shared F. S. Amay· 1 shared G. R. Palacios· 1 shared H. D. Wong· 1 shared I. Camps· 1 shared I. N. d. Aguila· 1 shared J. P. R. Galarza· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

A. T. Moin

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1 paper

Recent·Most cited

Integrated Computational Biophysics approach for Drug Discovery against Nipah Virus

G. R. Palacios, M. C. Zuta, J. P. R. Galarza, E. G. Villarreal, J. P. Silva, K. Otazu, I. N. d. Aguila, H. D. Wong, F. S. Amay, N. Dattani, I. Camps, R. B. Patil, A. T. Moin

This study identifies potential NiV-G inhibitors from Peruvian phytochemicals using computational biophysics methods, highlighting procyanidins B2, B3, B7, and C1 as lead compounds.

bioRxiv · Oct 23, 2023 · PreprintMicrobiology