Two and Three-Dimensional Quantitative Structure-Activity Relationship Analysis on A Series of Anthelmintics

A 2D and 3D quantitative structure activity relationship (QSAR) analysis has been performed on a data set of 29 bezothiazole derivatives as Anthelmintics. Several types of descriptors including topological, spatial, thermodynamic, information content and E-state indices have been used to derive a quantitative relationship between the Anthelmintics activity and structural properties. Statistically significant models was obtained with the descriptors The model was also tested successfully for external validation criteria. The model is not only able to predict the activity of new compounds but also explained the important regions in the molecules in quantitative manner

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Publication Details

Journal
International Journal of Drug Design and Discovery
Published
2024-11-28
DOI
https://doi.org/10.37285/ijddd.1.4.6
Citations
3
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Two and Three-Dimensional Quantitative Structure-Activity Relationship Analysis on A Series of Anthelmintics

Kundan B. Ingale, Ramesh L. Sawant, Neela M. Bhatia, Manish Bhatia et al.
3 citations
International Journal of Drug Design and Discovery
Computational Drug Discovery Methods
article

Two and Three-Dimensional Quantitative Structure-Activity Relationship Analysis on A Series of Anthelmintics

Kundan B. Ingale, Ramesh L. Sawant, Neela M. Bhatia, Manish Bhatia, Prafulla Balkrushna Choudhari, Deepak. B. Sangale
article en
3 citations

Abstract

A 2D and 3D quantitative structure activity relationship (QSAR) analysis has been performed on a data set of 29 bezothiazole derivatives as Anthelmintics. Several types of descriptors including topological, spatial, thermodynamic, information content and E-state indices have been used to derive a quantitative relationship between the Anthelmintics activity and structural properties. Statistically significant models was obtained with the descriptors The model was also tested successfully for external validation criteria. The model is not only able to predict the activity of new compounds but also explained the important regions in the molecules in quantitative manner

International Journal of Drug Design and DiscoveryVol. 1(4)
Hindu College of Pharmacy (IN), Bharati Vidyapeeth (Deemed to be University) (IN)
Openalex Percentile: Top 73%
Computational Drug Discovery Methods
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