Identification of Small-Molecule Inhibitors of Fibroblast Growth Factor 23 Signaling via In Silico Hot Spot Prediction and Molecular Docking to α-Klotho-Reference-Cited by-同舟云学术

Identification of Small-Molecule Inhibitors of Fibroblast Growth Factor 23 Signaling via In Silico Hot Spot Prediction and Molecular Docking to α-Klotho

Published:2022-07-22 Issue:15 Volume:62 Page:3627-3637
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Liu Shih-Hsien¹²^ORCID,Xiao Zhousheng³,Mishra Sambit K.⁴^ORCID,Mitchell Julie C.⁴^ORCID,Smith Jeremy C.¹²^ORCID,Quarles L. Darryl³,Petridis Loukas¹²

Affiliation:

1. UT/ORNL Center for Molecular Biophysics, Oak Ridge National Laboratory, Oak Ridge, Tennessee37831, United States

2. Department of Biochemistry and Cellular and Molecular Biology, University of Tennessee, Knoxville, Tennessee37996, United States

3. Department of Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee38163, United States

4. Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee37831, United States

Funder

Oak Ridge National Laboratory

National Institute of Diabetes and Digestive and Kidney Diseases

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.2c00633

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