UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 11 Issue 7
July-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2407063


Registration ID:
544086

Page Number

a672-a676

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Title

Validation of QSAR Models Using External Statistical Approach in Drug Discovery

Abstract

Quantitative structure-activity relationship (QSAR) is a statistical modelling approach mostly used in molecular modelling, property and activity prediction of new molecule, drug discovery and prediction of environment. For a best QSAR model Validation of model is an important step. Validation is a step to check the reliability and robustness of QSAR models. The use of statistical approaches in drug discovery is of more crucial due to several reasons. These approaches help in the efficient and effective identification and development of new drugs by providing robust, reliable, and quantitative methods to analyze complex biological data. In this paper some key points highlighting the significance of statistical approaches in drug discovery.

Key Words

QSAR, Molecular descriptors, correlation coefficient. PRESS, SPRESS, R2cv, PSE, LSE

Cite This Article

"Validation of QSAR Models Using External Statistical Approach in Drug Discovery", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 7, page no.a672-a676, July-2024, Available :http://www.jetir.org/papers/JETIR2407063.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Validation of QSAR Models Using External Statistical Approach in Drug Discovery", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 7, page no. ppa672-a676, July-2024, Available at : http://www.jetir.org/papers/JETIR2407063.pdf

Publication Details

Published Paper ID: JETIR2407063
Registration ID: 544086
Published In: Volume 11 | Issue 7 | Year July-2024
DOI (Digital Object Identifier):
Page No: a672-a676
Country: Khandwa, Madhya Pradesh, India .
Area: Chemistry
ISSN Number: 2349-5162
Publisher: IJ Publication


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