0000-0002-7847-9870 About
Research Interest:
My research interests lie in analyzing the different factors that contribute to the development of bacterial antibiotic resistance in microbial pathogens. Most of my current research applies machine learning, pattern recognition, gene ontology, molecular modeling & docking protocols that are suitable to convert large amounts of genomics/proteomics/metagenomics data information into knowledge. In the near future, I am very interested in extending the experience and knowledge on machine learning approaches that would help in my study of antibiotic resistance genes. Using extended knowledge we could be able to develop some patterns that would be used as a surveillance approach at an early stage of infection in pathogenic microbes as well as facilitating preventive actions to counter the spread of new variants of resistant bacteria in medicinal and clinical environments.
Education:
Ph.D. thesis title - “Characterization and analysis of antimicrobial resistance using in-silico tools”
M.Tech (Bioinformatics) from Banasthali University Banasthali, RAJASTHAN, India 2013-15
PG Diploma in Bioinformatics from Banasthali University Banasthali, RAJASTHAN, India 2012-13
B.Sc. Biotechnology from DAYANAND GIRLS P.G. COLLEGE, C.S.J.M. UNIVERSITY, KANPUR India 2009-2012
Research Experience/ Previous Employment:
1. Junior Research Fellow at DBT-Bioinformatics Infrastructure Facility, Sri Venkateswara College, University of Delhi (August 2015- August 2016).
2. Research Trainee at DBT-Bioinformatics Infrastructure Facility, Sri Venkateswara College, University of Delhi (May-July, 2015).
Internship Project (M.Tech) 2014-2015:
Title: “Investigation of HIV-Host protein interactions in Early HIV-infection stage by Molecular Docking & Interaction Networks Studies”
Employment
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University of Delhi Doctoral (PhD) Scholar2016 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- AmpC β-lactamases: A Key to Antibiotic Resistance in ESKAPE Pathogens Save
- Nucleoside and non-nucleoside reverse transcriptase inhibitor drugs (NRTIs and NNRTIs) are capable of binding Chandipura virus polymerase protein (L) and inhibit virus replication Save
- Potent antifungal properties of gallic acid in Sarcochlamys pulcherrima against Candida auris Save
- β-LacFamPred: An online tool for prediction and classification of β-lactamase class, subclass, and family Save
- BacARscan: an in silico resource to discern diversity in antibiotic resistance genes Save
- Remdesivir, Zidovudine (AZT) and Nevirapine inhibit Chandipura virus replication through high energy interactions with the RdRp domain of the polymerase protein L Save
- Investigating the OXA Variants of ESKAPE Pathogens. Save
- BacARscan: A Comprehensive and Interactive Web-Resource to Discern Antibiotic Resistance Gene Diversity in –Omics Datasets Save
- Protocol for detection of bacterial proteins involved in efflux mediated antibiotic resistance (ARE) and their sub-families Save
- Exploring the genetic determinants underlying the differential production of an inducible chromosomal cephalosporinase - BlaB in Yersinia enterocolitica biotypes 1A, 1B, 2 and 4. Save