The artificial neural network selects saccharides from natural sources a promise for potential FimH inhibitor to prevent UTI infections-Reference-Cited by-同舟云学术

The artificial neural network selects saccharides from natural sources a promise for potential FimH inhibitor to prevent UTI infections

Published:2024-05-01 Issue:1 Volume:12 Page:
ISSN:2193-9616
Container-title:In Silico Pharmacology
language:en
Short-container-title:In Silico Pharmacol.

Author:

Dhanalakshmi Menamadathil^ORCID,Pandya Medha^ORCID,Sruthi Damodaran^ORCID,Jinuraj K. Rajappan^ORCID,Das Kajari^ORCID,Gadnayak Ayushman^ORCID,Dave Sushma^ORCID,Andal N. Muthulakshmi^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40203-024-00212-5.pdf

Reference36 articles.

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2. Bouckaert J, Berglund J, Schembri M, De Genst E, Cools L, Wuhrer M, De Greve H (2005) Receptor binding studies disclose a novel class of high-affinity inhibitors of the Escherichia coli FimH adhesin. Mol Microbiol 55(2):441–455

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5. Dhanalakshmi M, Das K, Pandya M, Shah S, Gadnayak A, Dave S, Das J (2022) Artificial neural network-based study predicts GS-441524 as a potential inhibitor of SARS-CoV-2 activator protein furin: a polypharmacology approach. Appl Biochem Biotechnol 194(10):4511–4529. https://doi.org/10.1007/s12010-022-03928-2

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