IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
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)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: QSAR STUDIES OF CALCIUM CHANNEL BLOCKERS
Authors Name: Mohd. Adil Tahseen , Deepak Jain , Saman Moin , Hafsa Khan , Mohd Sharique Khan
Download E-Certificate: Download
Author Reg. ID:
IJNRD_204604
Published Paper Id: IJNRD2308446
Published In: Volume 8 Issue 8, August-2023
DOI:
Abstract: 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
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
Publication Details: Published Paper ID:IJNRD2308446
Registration ID: 204604
Published In: Volume 8 Issue 8, August-2023
DOI (Digital Object Identifier):
Page No: e446-e452
Country: BAREILLY, Uttar Pradesh, India
Research Area: Pharmacy
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2308446
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2308446
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD