Ravina Khandelwal
Eminent Biosciences, Symbiotech Pharma Lab Pvt Ltd, Bhabha Atomic Research Centre
Research areas: Pharmacology, Toxicology and Pharmaceutics · Drug Discovery · Computational Drug Discovery Methods · vaccines and immunoinformatics approaches · Microbial bioremediation and biosurfactants
0000-0001-9210-9932
About
I am an experienced researcher with 4+ years of experience across a broad spectrum in life sciences . I am skilled at techniques in cell culture and differentiation, for disease models, microbiology, and molecular biology. Additionally, my skill set includes confocal imaging, R programming, PERL, Python, and NGS data analysis. I have a long experience in working in Bioinformatics lab. I am a critical thinker, team player, goal-oriented and creative professional with an ability for quick learning. I am always interested in advancement in Cancer Research and very aware of Research Ethics and Public policy on advanced medical technologies. I actively promote science communication for public outreach and a highly self-motivated aspirant to develop the new logics using Machine Learning and Artificial Intelligence.
Employment
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Symbiotech Pharma Lab Pvt Ltd Executive Officer2018 - 2019
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Eminent Biosciences Bioinformatics Research Analyst2017 - Present
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Bhabha Atomic Research Centre Research Trainee2016 - 2016
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- A Multi-Target Drug Designing for BTK, MMP9, Proteasome And TAK1 for the clinical treatment of Mantle Cell Lymphoma. Save
- Artificial Intelligence, Big data and Machine Learning approaches in Precision Medicine & Drug Discovery Save
- Structural Insights into the Molecular Design of ROS1 Inhibitor for the Treatment of Non-Small Cell Lung Cancer (NSCLC). Save
- Computer-Aided Structure Prediction of Bluetongue Virus Coat Protein VP2 Assisted by Optimized Potential for Liquid Simulations (OPLS). Save
- Identification and Characterization of Lipopeptide Biosurfactant Producing Microbacterium sp Isolated from Brackish River Water. Save
- In silico Insights on IL-6: A Potential Target for Multicentric Castleman Disease. Save
- Shape-based Machine Learning Models for the Potential Novel COVID-19 Protease Inhibitors Assisted by Molecular Dynamics Simulation. Save
- Identification of Potent VEGF Inhibitors for the Clinical Treatment of Glioblastoma, A Virtual Screening Approach. Save
- Identification of High-Affinity Small Molecule Targeting IDH2 for the Clinical Treatment of Acute Myeloid Leukemia. Save
- Virtual Screening of IL-6 Inhibitors for Idiopathic Arthritis. Save
- A Computer - Aided Drug Designing for Pharmacological Inhibition of Mutant ALK for the Treatment of Non-small Cell Lung Cancer. Save
- Structure-based Virtual Screening for the Identification of High-affinity Small Molecule Towards STAT3 for the Clinical Treatment of Osteosarcoma. Save