DS
Dr. Sanjay Kumar Singh
Indian Council of Medical Research, Post Graduate Institute of Medical Education and Research, Chhatrapati Shahu Ji Maharaj University, Thapar Institute of Engineering and Technology
0000-0001-5935-3829
Employment
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Indian Council of Medical Research Consultant (Scientific)2024 - Present
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Indian Council of Medical Research Project Scientist V2022 - 2024
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Post Graduate Institute of Medical Education and Research Scientist2009 - 2018
Education
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Chhatrapati Shahu Ji Maharaj University M.Sc.2006 - 2008
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Thapar Institute of Engineering and Technology PhD? - 2021
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- A randomized trial of once daily versus twice daily dosing of oral iron in CKD Save
- Computational prediction of the effects of non-synonymous single nucleotide polymorphisms on the GPI-anchor transamidase subunit GPI8p of Plasmodium falciparum Save
- Screening of potent drug inhibitors against SARS-CoV-2 RNA polymerase: an in silico approach Save
- Virtual screening and molecular dynamics study of approved drugs as inhibitors of spike protein S1 domain and ACE2 interaction in SARS-CoV-2 Save
- Homology Modeling, Docking, Absorption, Distribution, Metabolism, Excretion and Toxicity Studies and Prediction of Deleterious Non-Synonymous Single Nucleotide Polymorphisms (Nssnps) of Thiamin Phosphate Synthase: A Potential Drug Target in Plasmodium Fa… Save
- In-silico homology assisted identification of inhibitor of RNA binding against 2019-nCoV N-protein (N terminal domain). Save
- In silico docking and comparative ADMET profile of different glycogen synthase kinase 3 beta inhibitors as the potential leads for the development of anti-Alzheimer drug therapy Save
- Investigation of hub genes and their nonsynonymous single nucleotide polymorphism analysis in Plasmodium falciparum for designing therapeutic methodologies using next-generation sequencing approach. Save
- Identification of hub glycogenes and their nsSNP analysis from mouse RNA-Seq data Save
- Comparative Analysis of Glycogene Expression in Different Mouse Tissues Using RNA-Seq Data Save