INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Chalcones are the natural phytoconstituents recognized as secondary metabolites of plant, with marked biological significance such as Anti-inflammatory, Antioxidant, Anticancer, and Antimicrobial activity. On the basis of literature we were design Novel chalcone derivatives & were access for anti-inflammatory activity. This research deals with a molecular docking study of newly designed (1-(5- chloro-2-hydoxyphenyl)-3-(3-methylphenyl)propanr-1,3-dione) derivatives was performed by using Auto Dock Tool (V 1.5.7) with PDB Id: 1CX2 for drug protein interaction study. The main objective of molecular docking is to predict the biological activity of given ligand. In above research we done molecular docking study of JBN-1 to JBN-5 towards COX-2 Inhibitor. In this manuscript molecular docking study compound JBN-2 shows better docking score (-9.4) and compound JBN-3 shown moderate docking score (-6.6) compare to standard Celecoxib (-8.3) respectively.
Keywords:
Molecular docking ,Anti-inflammatory, Auto Dock Tool, COX-2.
Cite Article:
"Molecular docking study of Novel Chalcone derivatives Towards PDB: 1CX2", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e737-e746, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305490.pdf
Downloads:
000118759
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn