Molecular Modelling a Key Method for Potential Therapeutic Drug Discovery.

Drug discovery High-Throughput Virtual Screenings Protein Drug interaction

Journal

Biomedical journal of scientific & technical research
ISSN: 2574-1241
Titre abrégé: Biomed J Sci Tech Res
Pays: United States
ID NLM: 101723284

Informations de publication

Date de publication:
Jul 2021
Historique:
entrez: 24 1 2022
pubmed: 25 1 2022
medline: 25 1 2022
Statut: ppublish

Résumé

The well-defined and characterized 3D crystal structure of a protein is important to explore the topological and physiological features of the protein. The distinguished topography of a protein helps medical chemists design drugs on the basis of the pharmacophoric features of the protein. Structure-based drug discovery, specifically for pathological proteins that cause a higher risk of disease, takes advantage of this fact. Current tools for studying drug-protein interactions include physical, chromatographic, and electrophoretic methods. These techniques can be separated into either non-spectroscopic (equilibrium dialysis, ultrafiltration, ultracentrifugation, etc.) or spectroscopic (Fluorescence spectroscopy, NMR, X-ray diffraction, etc.) methods. These methods, however, can be time-consuming and expensive. On the other hand,

Identifiants

pubmed: 35071996
doi: 10.26717/BJSTR.2021.37.006000
pmc: PMC8782051
mid: NIHMS1747835
doi:

Types de publication

Journal Article

Langues

eng

Pagination

29427-29431

Subventions

Organisme : NCI NIH HHS
ID : R01 CA204552
Pays : United States

Déclaration de conflit d'intérêts

Competing Interests The authors declare that they have no competing interests.

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Auteurs

Omar Karkoutly (O)

Department of Biology, College of Sciences, The University of Texas Rio Grande Valley, McAllen, TX 78539, USA.
South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen TX 78504, USA.
Department of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, USA.

Anupam Dhasmana (A)

South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen TX 78504, USA.
Department of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, USA.

Vijian Dhevan (V)

Valley Baptist Hospital, Harlingen, USA.
Department of Surgery, School of Medicine, University of Texas Rio Grande Valley, Edinburg, TX 78501, USA.

Subhash C Chauhan (SC)

South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen TX 78504, USA.
Department of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, USA.

Manish K Tripathi (MK)

South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen TX 78504, USA.
Department of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, USA.

Classifications MeSH