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)
In India, there is an alarmingly high prevalence of hypertension as well as concomitant conditions including metabolic syndrome, diabetes mellitus, and chronic renal disease. However, it comes with a number of drawbacks, such as reflex tachycardia and pedal edema. Therefore, for the comprehensive care of hypertension in the nation, a potent antihypertensive drug that does not have these side effects and offers end-organ protection is needed. Numerous approaches, including partial least squares (PLS), heuristic method (HM), multiple linear regression (MLR), and various artificial neural networks can be used for QSAR development.
Genetic function approximation (GFA), has recently grown in prominence in QSAR research. Using 2D-QSAR modeling, it is possible to identify the molecular components that may be changed to improve affinity and efficacy, which is helpful advice for the drug discovery process. These models are helpful for rationalizing a large number of experimental findings, allowing for time and cost savings throughout the drug design process, and they represent a development in the in-silico discovery of effective CCBs.
Keywords:
QSAR/QSPR, CADD, Linear Discriminant Analysis, Density functional theory
Cite Article:
"QSAR STUDIES OF CALCIUM CHANNEL BLOCKERS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 8, page no.e446-e452, August-2023, Available :http://www.ijnrd.org/papers/IJNRD2308446.pdf
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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
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