D
Deepak Sharma
Researcher at Jawaharlal Nehru University
Publications - 234
Citations - 8472
Deepak Sharma is an academic researcher from Jawaharlal Nehru University. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 46, co-authored 148 publications receiving 7484 citations. Previous affiliations of Deepak Sharma include Dr. Shakuntala Misra National Rehabilitation University & Mayo Clinic.
Papers
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Journal ArticleDOI
Function of SSA subfamily of Hsp70 within and across species varies widely in complementing Saccharomyces cerevisiae cell growth and prion propagation.
Deepak Sharma,Céline N. Martineau,Marie-Thérèse Le Dall,Michael Reidy,Daniel C. Masison,Mehdi Kabani +5 more
TL;DR: Yeast prions provide a very sensitive model to uncover this functional specialization of Hsp70 orthologs and to explore the intricate network of chaperone/co-chaper one/substrates interactions.
Journal ArticleDOI
Influence of Hsp70s and their regulators on yeast prion propagation
TL;DR: The variety of effects Hsp70 and its regulators have on different prions and how the effects might be due to the many ways chaperones interact with each other and with amyloid are discussed.
Journal ArticleDOI
Heterogeneity consideration in wireless sensor networks routing algorithms: a review
TL;DR: Along with presenting a comprehensive review of the routing algorithms under different varieties of heterogeneous WSNs, the paper also discusses the effects and interdependencies of different heterogeneities in routing decisions and unveils new research directions in the area.
Book ChapterDOI
Time-oriented question answering from clinical narratives sing semantic-web techniques
TL;DR: A Semantic-Web based framework is introduced, which provides an API for querying temporal information from clinical narratives and contains three major components: time normalizer, SWRL based reasoner, and OWL-DLbased reasoner.
Journal ArticleDOI
A review on technological advancements in crowd management
Deepak Sharma,Deepak Sharma,Amol P. Bhondekar,Amol P. Bhondekar,A. K. Shukla,A. K. Shukla,C. Ghanshyam,C. Ghanshyam +7 more
TL;DR: The crowd modeling aspects during the planning of crowded scenario, and the technological advancements in crowd data acquisition techniques [based on Vision, Wireless/Radio-Frequency and Web/Social-media data mining technologies] during execution of crowded event are discussed.