Local cover image
Local cover image
Image from Google Jackets

Designing of Thiazolidin-4-one Pharmacophore using QSAR Studies for Anti-HIV Activity

By: Contributor(s): Publication details: Banaglore Association of Pharmaceutical Teachers of India (APTI) 2021Edition: Vol.55(2), Apr-JunDescription: 581-589pSubject(s): Online resources: In: Indian journal of pharmaceutical education and researchSummary: Background and Aim: In an effort of drug development in the area of HIV, present work deals with development of 2D and 3D QSAR of thiazolidinone derivatives against HIV-RT activity as a powerful method for elucidation the relationships between structure and activity. Materials and Methods: 2D QSAR and 3D QSAR were performed using MLR and SA kNN method respectively. Models which had higher predictability were generated as indicated from their statistical parameters. Results and Discussion: Best models generated showed correlation coefficient r2= 0.9256 and q2 =0.8623 for 2D QSAR and q2 =0.8444 for 3D QSAR. The models indicated the requirement of electro topological, electrostatic and steric descriptors which would significantly contribute to HIV-RT inhibitory activity. Further a few compounds were designed using the outcome of QSAR studies.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Status Barcode
Articles Abstract Database Articles Abstract Database School of Pharmacy Archieval Section Not for loan 2021-2022381
Total holds: 0

Background and Aim: In an effort of drug development in the area of HIV, present work deals with development of 2D and 3D QSAR of thiazolidinone derivatives against HIV-RT activity as a powerful method for elucidation the relationships between structure and activity. Materials and Methods: 2D QSAR and 3D QSAR were performed using MLR and SA kNN method respectively. Models which had higher predictability were generated as indicated from their statistical parameters. Results and Discussion: Best models generated showed correlation coefficient r2= 0.9256 and q2 =0.8623 for 2D QSAR and q2 =0.8444 for 3D QSAR. The models indicated the requirement of electro topological, electrostatic and steric descriptors which would significantly contribute to HIV-RT inhibitory activity. Further a few compounds were designed using the outcome of QSAR studies.

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

Local cover image
Share
Unique Visitors hit counter Total Page Views free counter
Implemented and Maintained by AIKTC-KRRC (Central Library).
For any Suggestions/Query Contact to library or Email: librarian@aiktc.ac.in | Ph:+91 22 27481247
Website/OPAC best viewed in Mozilla Browser in 1366X768 Resolution.