D
Dipankar Sengupta
Researcher at Queen's University Belfast
Publications - 21
Citations - 108
Dipankar Sengupta is an academic researcher from Queen's University Belfast. The author has contributed to research in topics: Classifier (UML) & Interpretability. The author has an hindex of 6, co-authored 21 publications receiving 94 citations. Previous affiliations of Dipankar Sengupta include National Institute of Advanced Studies & Jaypee University of Information Technology.
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Docking mode of delvardine and its analogues into the p66 domain of HIV-1 reverse transcriptase: screening using molecular mechanics-generalized born/surface area and absorption, distribution, metabolism and excretion properties
TL;DR: The work demonstrates that dock molecular mechanics-generalized born/surface area (MM-GB/SA-ADME) is a promising approach to predict the binding activity of ligands to the receptor and further screen for a successful candidate drug in a computer-aided rational drug design.
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Year-round daylight saving time will save more energy in India than corresponding DST or time zones
Dilip R Ahuja,Dipankar Sengupta +1 more
TL;DR: In this article, the authors estimate the year-round energy savings to be obtained from advancing Indian Standard Time (IST), from the introduction of DST, and from dividing the country into two time zones.
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Association rule mining based study for identification of clinical parameters akin to occurrence of brain tumor.
TL;DR: The results indicate that the methodology followed will be of good value for the diagnostic procedure of brain tumor, especially when large data volumes are involved and screening based on discovered parameters would allow clinicians to detect tumors at an early stage of development.
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SN algorithm: analysis of temporal clinical data for mining periodic patterns and impending augury.
TL;DR: A conjoined solution to analyze the clinical parameters akin to a disease, using “association rule mining algorithm” to discover association rules among clinical parameters that can be augmented with the disease, and a new algorithm to map clinical parameters along with a disease state at various temporal points.
Journal Article
Docking-MM-GB/SA and ADME screening of HIV-1 NNRTI inhibitor: nevirapine and its analogues.
TL;DR: The work to modify the X, Y and R substituents in the nevirapine scaffold to prepare synthetic analogues for second generation drug development against RT and these analogues well qualify ADME properties and showed good druggable characters.