Identification of Potential Aldose Reductase Inhibitors Using Convolutional Neural Network-Based in Silico Screening-Reference-Cited by-同舟云学术

Identification of Potential Aldose Reductase Inhibitors Using Convolutional Neural Network-Based in Silico Screening

Published:2023-10-03 Issue:20 Volume:63 Page:6261-6282
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Kashyap Kushagra¹²,Mahapatra Pinaki Prasad¹,Ahmed Shakil¹,Buyukbingol Erdem³,Siddiqi Mohammad Imran¹²^ORCID

Affiliation:

1. Biochemistry and Structural Biology Division, CSIR-Central Drug Research Institute, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow 226031, India

2. Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India

3. Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Ankara University, 06100 Ankara, Turkey

Funder

Council of Scientific and Industrial Research, India

Department of Biotechnology, Ministry of Science and Technology, India

T?rkiye Bilimsel ve Teknolojik Arastirma Kurumu

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00547

Reference54 articles.

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4. A Potent Aldose Reductase Inhibitor, (2S,4S)-6-Fluoro-2‘,5‘-dioxospiro[chroman-4,4‘-imidazolidine]-2-carboxamide (Fidarestat): Its Absolute Configuration and Interactions with the Aldose Reductase by X-ray Crystallography

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