SP
Shraddha Parate
Also known as: S.P.
Zytex Biotech Pvt. Ltd., Amrita Vishwa Vidyapeetham Amrita Centre for Nanosciences and Molecular Medicine, Gyeongsang National University, DY Patil Deemed to be University
Research areas: Pharmacology, Toxicology and Pharmaceutics · Drug Discovery · Computational Drug Discovery Methods · Synthesis and Characterization of Heterocyclic Compounds · Bioactive natural compounds
0000-0001-6566-7496
Employment
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Zytex Biotech Pvt. Ltd. Quality Control Trainee
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Amrita Vishwa Vidyapeetham Amrita Centre for Nanosciences and Molecular Medicine Research Assistant
Education
- 2016 - 2022
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Amrita Vishwa Vidyapeetham Amrita Centre for Nanosciences and Molecular Medicine M.Tech in Molecular Medicine
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D Y Patil University B.Tech in Bioinformatics
Projects & Funding
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Basic Science Research Program National Research Foundation of Korea
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Bio & Medical Technology Development Program National Research Foundation of Korea
Publications (25)
- Modeling of FAK-PROTAC candidates from GSK2256098 analogs for targeted protein degradation Save
- Investigation of Macrocyclic mTOR Modulators of Rapamycin Binding Site via Pharmacoinformatics Approaches Save
- Identification of Activated Cdc42-Associated Kinase Inhibitors as Potential Anticancer Agents Using Pharmacoinformatic Approaches Save
- Discovery of Anticancer Hybrid Molecules by Supervised Machine Learning Models and in Vitro Validation in Drug Resistant Chronic Myeloid Leukemia Cells Save
- Computational Simulations Highlight the IL2Rα Binding Potential of Polyphenol Stilbenes from Fenugreek Save
- Identification of New KRAS G12D Inhibitors through Computer-Aided Drug Discovery Methods Save
- Investigating natural compounds against oncogenic RET tyrosine kinase using pharmacoinformatic approaches for cancer therapeutics Save
- Putative dual inhibitors of mTOR and RET kinase from natural products: Pharmacophore-based hierarchical virtual screening Save
- Investigation of Marine-Derived Natural Products as Raf Kinase Inhibitory Protein (RKIP)-Binding Ligands Save
- Identification of CDK7 Inhibitors from Natural Sources Using Pharmacoinformatics and Molecular Dynamics Simulations Save
- Development of Machine Learning Models for Accurately Predicting and Ranking the Activity of Lead Molecules to Inhibit PRC2 Dependent Cancer Save
- Computational Investigation Identified Potential Chemical Scaffolds for Heparanase as Anticancer Therapeutics Save
- Identification of Flavonoids as Putative ROS-1 Kinase Inhibitors Using Pharmacophore Modeling for NSCLC Therapeutics Save
- Marine-Derived Natural Products as ATP-Competitive mTOR Kinase Inhibitors for Cancer Therapeutics Save
- Identification of ACK1 inhibitors as anticancer agents by using computer-aided drug designing Save
- Computational Simulations Identified Marine-Derived Natural Bioactive Compounds as Replication Inhibitors of SARS-CoV-2 Save
- Exploring the Binding Interaction of Raf Kinase Inhibitory Protein With the N-Terminal of C-Raf Through Molecular Docking and Molecular Dynamics Simulation Save
- In Silico Study Identified Methotrexate Analog as Potential Inhibitor of Drug Resistant Human Dihydrofolate Reductase for Cancer Therapeutics Save
- Discovery of Lonafarnib-Like Compounds: Pharmacophore Modeling and Molecular Dynamics Studies Save
- Natural compounds as potential Hsp90 inhibitors for breast cancer-Pharmacophore guided molecular modelling studies Save