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Yenamandra S. Prabhakar

Researcher at Central Drug Research Institute

Publications -  70
Citations -  1191

Yenamandra S. Prabhakar is an academic researcher from Central Drug Research Institute. The author has contributed to research in topics: Quantitative structure–activity relationship & Docking (molecular). The author has an hindex of 20, co-authored 69 publications receiving 1100 citations. Previous affiliations of Yenamandra S. Prabhakar include Council of Scientific and Industrial Research & Academy of Scientific and Innovative Research.

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2-(Aryl)-3-furan-2-ylmethyl-thiazolidin-4-ones as selective HIV-RT inhibitors.

TL;DR: An attempt in correlating the derived physicochemical properties with the HIV-RT inhibitory activity resulted in some statistically significant QSAR models with good predictive ability.
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CP‐MLR/PLS Directed Structure‐Activity Modeling of the HIV‐1 RT Inhibitory Activity of 2,3‐Diaryl‐1,3‐thiazolidin‐4‐ones

TL;DR: The study suggests that thiazolidinones with 3-(pyridin-2-yl) moiety provide scope for further substituent variation to modulate the HIV-1 RT inhibitory activity.
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A Combinatorial Approach to the Variable Selection in Multiple Linear Regression: Analysis of Selwood et al. Data Set – A Case Study

TL;DR: A combinatorial protocol is introduced here to interface it with the multiple linear regression (MLR) for variable selection and it is demonstrated that the proposed method should be able to offer solutions to data sets with 50 to 60 descriptors in reasonable time frame.
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C-3 Alkyl/Arylalkyl-2,3-dideoxy Hex-2-enopyranosides as Antitubercular Agents: Synthesis, Biological Evaluation, and QSAR Study

TL;DR: The study indicates that the compounds attaining the conformational space of 5c and reflecting some symmetry, minimum eccentricity, and closely placed geometric and electronegativity centers therein are favorable for activity.
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CoMFA and CoMSIA studies on thiazolidin-4-one as anti-HIV-1 agents.

TL;DR: The results provide insight for predictive and diagnostic aspects of this class of HIV-1 RT inhibitors for better activity and 3D contour maps generated from these models provide the regions in space where interactive fields may influence the activity.