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Kalpataru Das

Researcher at Central University, India

Publications -  42
Citations -  1019

Kalpataru Das is an academic researcher from Central University, India. The author has contributed to research in topics: Ring (chemistry) & Lewis acids and bases. The author has an hindex of 18, co-authored 41 publications receiving 921 citations. Previous affiliations of Kalpataru Das include Dr. Hari Singh Gour University & Indian Institute of Technology Kanpur.

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A convenient synthetic route to enantiopure N-tosylazetidines from α-amino acids

TL;DR: A general and convenient synthetic route to various chiral 2-substituted- and 2,4-disubst ituted-N-tosylazetidines (ee >99%) is described in good overall yields starting from chiral α-amino acids using very simple chemistry.
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A convenient synthetic route to 2-aryl-N-tosylazetidines and their ZnX2 (X = I, OTf) mediated regioselective nucleophilic ring opening reactions: synthesis of γ-iodoamines and tetrahydropyrimidines

TL;DR: In this paper, a general and convenient synthetic route to various 2-aryl-N -tosylazetidines has been described and a mechanism for the cycloaddition reaction is proposed.
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Growth and physical property study of single nanowire (diameter ∼45nm) of half doped manganite

TL;DR: In this article, the growth and characterization of functional oxide nanowire of hole dopedmanganite of La 0.5Sr0.5MnO3 (LSMO) was reported.
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Lewis acid mediated SN2-type nucleophilic ring opening followed by [4+2] cycloaddition of N-tosylazetidines with aldehydes and ketones: synthesis of chiral 1,3-oxazinanes and 1,3-amino alcohols

TL;DR: In this article, a highly efficient strategy for Cu(OTf)2 mediated SN2-type nucleophilic ring opening followed by [4+2] cycloaddition reactions of enantiopure 2-phenyl-N-tosylazetidines with various aldehydes and ketones with various substituted 1, 3-oxazinanes and 1,3-amino alcohols in excellent yields, excellent de and good to excellent ee.
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Hydroxyethylamine derivatives as HIV-1 protease inhibitors: a predictive QSAR modelling study based on Monte Carlo optimization.

TL;DR: On the basis of obtained structural attributes, 11 new compounds were designed, out of which five compounds were found to have better activity than the best active compound in the series.