A
Amit Singh
Researcher at National Institute of Technology, Patna
Publications - 773
Citations - 18812
Amit Singh is an academic researcher from National Institute of Technology, Patna. The author has contributed to research in topics: Digital watermarking & Medicine. The author has an hindex of 57, co-authored 640 publications receiving 13795 citations. Previous affiliations of Amit Singh include Ithaca College & Center for Infectious Disease Research and Policy.
Papers
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Journal ArticleDOI
Protein folding on biosensor tips: folding of maltodextrin glucosidase monitored by its interactions with GroEL.
TL;DR: It is demonstrated that a bio‐layer interferometry (BLI) chaperonin detection system can identify superior refolding conditions for denatured proteins and demonstrates conditions where accelerated folding can be observed for the aggregation‐prone protein maltodextrin glucosidase (MalZ).
Patent
Processes for the preparation of amorphous tenofovir alafenamide hemifumarate and a premix thereof
Ramakoteswara Rao Jetti,Amit Singh,Neelima Bhagavatula,Anjaneyaraju Indukuri,B. A. Ramireddy,P. Subbarayudu,R. Mastanrao,M. Kiran +7 more
TL;DR: An amorphous form of tenofovir alafenamide hemifumarate and process for the 5 preparation of the same are described in this article, where a premix of the 10-OHA with pharmaceutically acceptable excipients is also disclosed.
Journal ArticleDOI
Impact of Cluster Frontline Demonstration on Soybean Production in Tirap District of Arunachal Pradesh, India
TL;DR: Soybean (Glycine max L.) belonging to family Leguminosae is one of the important oil seed crops of the world and has recognized as beneficial source of protein, edible oil and functional food.
Book ChapterDOI
Efficient Generation of Association Rules from Numeric Data Using Genetic Algorithm for Smart Cities
Pardeep Kumar,Amit Singh +1 more
TL;DR: This work has proposed genetic algorithm based association rule mining algorithm which generates random association rules on the basis of general property of datasets which is used in various applications for decision making, detection and prediction etc.
Book ChapterDOI
Redox-Responsive Nano-Delivery Systems for Cancer Therapy
TL;DR: This chapter highlights the features of self-regulated internally controlled redox-responsive nano-carrier systems, opportunities presented by them and the promise these “intelligent” delivery vectors offer in improving existing cancer therapeutic approaches.