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)
There have been several studies about the bioactivities of the seeds from the Vigna genus, which are significant food sources. The entire V. vexillata plant, including the flowers and pods, was air-dried and pulverized. Methanol was then extracted under reflux and concentrated to create a dark brown syrup. The binding affinity and interactions with amino acids of phytochemicals were evaluated. Target protein protein homology modeling, protein structure validation, and energy minimization were all completed. A comparative in-silico docking analysis with the standard drug was conducted using phytochemicals that had been mentioned in the literature as having properties related to CNS stimulant activities. These phytochemicals were studied for their absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties and those that passed ADMET filters. Using AutoDock Vina, a preliminary docking study was performed, then AutoDock 4.2.6 and SwissDock were used to validate the results.
"In-Silico STUDIES, CHARACTERIZATION, ADMET PREDICTION, AND MOLECULAR DOCKING OF VIGNA VEXILLATA CONSTITUENTS AND THEIR CNS STIMULANT ACTIVITY", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.a526-a536, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305067.pdf
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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
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