Designation: Assistant Professor (AC)
School : School of Sciences, Botany
Qualification: Ph.D (Botany)
Phone : +91 9759016448
Email : [email protected]
Dr. Sharma is an accomplished researcher, with a publication record of 27 research papers in SCI-indexed journals and six book chapters. She has also secured one international patent and has presented her work at numerous national and international conferences, seminars, and workshops.
Her primary research interests lie in bioinformatics, molecular dynamics simulation, and computational drug discovery, with a strong emphasis on bridging traditional Ayurvedic medicinal plants and modern scientific applications. Known for her dedication and integrity, Dr. Sharma has demonstrated expertise in molecular modeling, molecular dynamics simulation, data mining, network pharmacology, and in-silico drug discovery of natural products.
Fellowships:
Dr. Sharma has also held a Research Associate fellowship awarded by the Indian Council of Medical Research (ICMR), New Delhi, which further enriches her experience and contributions to scientific research.
Patents -International Design -“MI and AI based Device for skin cancer Detection” Pooja Kadyan, Dr. Priyanka Sharma Dr.Sudhir kumar kataria, Prof.Ponnusamy Thillai Aarsu, Dr.Nallaiya Gounder Kuppusamy Sakthivel Dr. Santhanaraman Subasree ,Design number – 6364302 grant Date 16 may 2024
- Research Paper (27)
- Priyanka Sharma, Tushar Joshi , Tanuja Joshi , Subhash Chandra & Sushma Tamta (2020): Molecular dynamics simulation for screening phytochemicals as α- amylase inhibitors from medicinal plants, Journal of Biomolecular Structure and Dynamics, DOI: 10.1080/07391102.2020.1801507 (IF: 3.30) ISSN No- 1538-0254. Citations-1
- Priyanka Sharma, Tushar Joshi , Tanuja Joshi , Subhash Chandra & Sushma Tamta (2020): In silico screening of potential antidiabetic phytochemicals from Phyllanthus emblica against therapeutic targets of type 2 diabetes :Journal of Ethanopharmacology 248.(IF: 4.36) ISSN No- 0378-8741 Citations -10
- Priyanka Sharma , Tushar Joshi , Shalini Mathpal , Tanuja Joshi , Hemlata Pundir , Subhash Chandra & Sushma Tamta (2020): Identification of natural inhibitors against Mpro of SARS-CoV-2 by molecular docking, molecular dynamics simulation, and MM/PBSA methods, Journal of Biomolecular Structure and Dynamics, DOI: 10.1080/07391102.2020.1842806. (IF: 3.30) ISSN No- 1538-0254 Citations -4
- Priyanka Sharma, Tushar Joshi, Shalini Mathpal, Subhash Chandra & Sushma Tamta (2021): In silico identification of antidiabetic target for phytochemicals of A.marmelos and mechanistic insights by molecular dynamics simulations, Journal of Biomolecular Structure and Dynamics, DOI: 10.1080/07391102.2021.1944910 (IF: 3.30) ISSN No- 1538-0254
- Priyanka Sharma, Tanuja Joshi, Tushar Joshi, Shalini Mathpal, Priyanka Maiti, Mahesh Nand, Subhash Chandra & Sushma Tamta (2021): In silico screening of natural compounds to inhibit interaction of human ACE2 receptor and spike protein of SARS-CoV-2 for the prevention of COVID-19, Journal of Biomolecular Structure and Dynamics, (IF: 3.30) DOI: 10.1080/07391102.2021.2010599
- Tushar Joshi ,Priyanka Sharma ,Shalini Mathpal, Tanuja Joshi , Priyanka Maiti, Mahesha Nand, Veena Pande,& Subhash Chandra (2021): Computational investigation of drug bank compounds against 3C‑like protease (3CLpro) of SARS‑CoV‑2 using deep learning and molecular dynamics simulation, Molecular Diversity. (IF: 2.70) https://doi.org/10.1007/s11030-021-10330-3.
- Priyanka Maiti, Priyanka Sharma, Mahesha Nand , Indra D. Bhatt, Muthannan Andavar Ramakrishnan, Shalini Mathpal, Tushar Joshi, Ragini Pant, Shafi, Jesus Simal-Gandara, Sultan Alshehri, Mohammed M. Ghonei, Maha Alruwaily, Ahmed Abdullah Al Awadh, Mohammed Merae Alshahrani and Subhash Chandra(2022) Integrated Machine Learning and Chemoinformatics-Based Screening of Mycotic Compounds against Kinesin Spindle ProteinEg5 for Lung Cancer Therapy. Molecules, (IF.4.927) 27, 1639. https://doi.org/10.3390/ molecules27051639
- Ghanshyam Teli, Priyanka Sharma & Pooja A. Chawla (2022): Exploring the Potential of Substituted 4-Thiazolidinone Derivatives in the Treatment of Breast Cancer: Synthesis, Biological Screening and InSilico Studies, Polycyclic Aromatic Compounds,(IF.3.744) DOI: 10.1080/10406638.2022.2112708.
- Shalini Mathpal , Priyanka Sharma, Tushar Joshi, Veena Pande, Shafi Muhmud, Mi-Kyung Jeong, Ahmad J. Obaidullah, Subhash Chandra and Bonglee Kim (2022) Identification of Zinc-Binding Inhibitors of Matrix Metalloproteinase-9 to Prevent Cancer Through Deep Learning and Molecular Dynamics Simulation Approach. Front. Mol. Biosci.(IF:4.615) 9:857430. doi:10.3389/fmolb.2022.857430
- Tanuja Joshi, Priyanka Sharma, Tushar Joshi & Subhash Chandra (2019): In silico screening of anti-inflammatory compounds from Lichen by targeting cyclooxygenase-2, Journal of Biomolecular Structure and Dynamics, DOI: 10.1080/07391102.2019.1664328. (IF: 3.30) ISSN No- 1538-0254 Citations -13
- Tushar Joshi, Priyanka Sharma, Tanuja Joshi, Shalini Mathpal, Veena Pande & Subhash Chandra (2020). Repurposing of FDA approved drugs against Salmonella enteric serovar Typhi by targeting dihydrofolate reductase: an in silico study. Journal of Biomolecular Structure and Dynamics, 1–14. doi:10.1080/07391102.2020.185035. (IF: 3.30) ISSN No- 1538-0254
- Tanuja Joshi, Priyanka Sharma, Tushar Joshi, Hemlata Pundir, Shalini Mathpal, & Subhash Chandra (2020): Structure‑based screening of novel lichen compounds against SARS Coronavirus main protease (Mpro) as potentials inhibitors of COVID‑19. Molecular Diversity https://doi.org/10.1007/s11030-020-10118-x (IF: 2.70) ISSN No- 1381-1991 Citations -1
- Shalini Mathpal, Priyanka Sharma, Tushar Joshi, Tanuja Joshi, Veena Pande & Subhash Chandra (2021): Screening of potential bio-molecules from Moringa olifera against SARS-CoV-2 main protease using computational approaches, Journal of Biomolecular Structure and Dynamics, DOI: 10.1080/07391102.2021.193618(IF: 3.30) ISSN No- 1538-0254
- Tanuja Joshi, Tushar Joshi, Priyanka Sharma, Hemlata Pundir & Subhash Chandra (2020): In silico identification of natural fungicide from Melia azedarach against isocitrate lyase of Fusarium graminearum, Journal of Biomolecular Structure and Dynamics. (IF: 3.30) ISSN No- 1538-0254 Citations -2
- Tushar Joshi, Tanuja Joshi, Priyanka Sharma, Shalini Mathpal, Hemlata Pundir, Vikas Bhatt & Subhash Chandra (2020) In silico screening of natural compounds against COVID-19 by targeting Mpro and ACE2 using molecular docking. European Review for Medical and Pharmacological Sciences. 24: 4529-4536. (IF: 2.70) ISSN No -1128-3602 Citations -57
- Tushar Joshi, Tanuja Joshi, Priyanka Sharma, Subhash Chandra & Veena Pande (2020): Molecular docking and molecular dynamics simulation approach to screen natural compounds for inhibition of Xanthomonas oryzae pv.Oryzae by targeting peptide deformylase, Journal of Biomolecular Structure and Dynamics, DOI: 10.1080/07391102.2020.1719200(IF: 3.30) ISSN No- 1538-0254 Citations -17
- Shalini Mathpal , Tushar Joshi, Priyanka Sharma , Tanuja Joshi , Hemlata Pundir , Veena Pande & Subhash Chandra (2020): A dynamic simulation study of FDA drug from zinc database against COVID-19 main protease receptor, Journal of Biomolecular Structure and Dynamics, DOI:10.1080/07391102.2020.1821785(IF: 3.30) ISSN No- 1538-0254 Citations -6
- Shalini Mathpal , Tushar Joshi, Priyanka Sharma , Veena Pande & Subhash Chandra (2022) Assessment of activity of chalcone compounds as inhibitors of 3‑chymotrypsin like protease ( 3CLPro) of SARS‑CoV‑2: in silico study: Structural Chemistry (IF:1.887)https://doi.org/10.1007/s11224-022-01887-2
- Hemlata Pundir, Tanuja Joshi, Tushar Joshi, Priyanka Sharma, Shalini Mathpal, Subhash Chandra & Sushma Tamta (2020) Using Chou’s 5‑steps rule to study pharmacophore‑based virtual screening of SARS‑CoV‑2 Mpro inhibitors. Molecular Diversity. https://doi.org/10.1007/s11030-020-10148-5 (IF: 2.70) ISSN No- 1381-1991
- Rohit Pal, Md. Jawaid Akhtar, Khadga Raj, Shamsher Singh, Priyanka Sharma, Sourav Kalra , PoojaA. Chawla∗, Bhupinder Kumar(2022) Exploring the Potential of Substituted 4- Thiazolidinone Derivatives in the Treatment of Breast Cancer: Synthesis, Biological Screening and In Silico Studies. Journal of Molecular Structure (IF:3.84) https://doi.org/10.1016/j.molstruc.2022.132587
- Tushar Joshi, Satish Chandra Pandey, Priyanka Maiti, Manish Tripathi, Ashutosh Paliwal, Mahesha Nand , Priyanka Sharma, Mukesh Samant, Veena Pande,& Subhash Chandra (2021): Antimicrobial activity of methanolic extracts of Vernonia cinerea against Xanthomonas oryzae and identification of their compounds using in silico techniques. PLoS ONE 16(6): e0252759. https://doi.org/10.1371/ journal.pone.0252759 (IF: 2.70). ISSN No- 1932-6203 Citations -2
- Priyanka Maiti, Mahesha Nand, Shalini Mathpal, Shadma Wahab, Jagdish Chandra Kuniyal, Priyanka Sharma, Tusar Joshi, Muthannan Andavar Ramakrishnan and Subhash Chandra (2023)Potent multi-target natural inhibitors against SARS-CoV-2 from medicinal plants of the Himalaya: a discovery from hybrid machine learning, chemoinformatics, and simulation assisted screening, Journal of Biomolecular Structure and Dynamics https://doi.org/10.1080/07391102.2023.2257333((IF: 2.70)
- Arti Chauhan, Priyanka Sharma ,Anjala Durgapal, Dhani Arya and Subhash Chandra, In-silico Study of an Ethnobotanical Plant; Urtica dioica forAssessing Anti-diabetic Potential international Journal of Plant and Environment 2023. DOI: 10.18811/ijpen.v9i01.09.
- Arti Chauhan, Priyanka Sharma ,Anjala Durgapal, Dhani Arya and Subhash Chandra In-silico Study of Phytochemicals of Ethnobotanical Plant Cannabis sativa for Anti-Diabetic Potential international Journal of Plant and Environment 2023 2(9) 113-124 DOI: 10.18811/ijpen.v9i02.03
- Shalini Mathpal · Tushar Joshi · Priyanka Sharma · Priyanka Maiti · Mahesha Nand · Veena Pande · Subhash Chandra, In silico screening of chalcone derivatives as promising EGFR-TK inhibitors for the clinical treatment of cancer 3 Biotech (2024) 14:18 https://doi.org/10.1007/s13205-023-03858-8
- Priyanka Sharma, Vishal Sharma, Shalini Mathpal, Disha Tewari, Subhash Chandra, Sushma Tamta, Identification of alpha-glucosidase enzyme inhibitors from phytochemicals via integrated deep learning, molecular docking, molecular dynamics simulation, and MMPBSA analysis South African Journal of Botany, Volume 167, 2024, Pages 48-61, ISSN 0254-6299, https://doi.org/10.1016/j.sajb.2024.01.061. (https://www.sciencedirect.com/science/article/pii/S0254629924000802)
- Tushar Joshi, Shalini Mathpal, Priyanka Sharma, Akshay Abraham, Rajadurai Vijay Solomon, and Subhash ChandraDesigning novel inhibitor derivatives targeting SARS-CoV-2 Mpro enzyme: a deep learning and structure biology approach Molecular Systems Design & Engineering july 2024 DOI: 10.1039/D4ME00062E
- Tushar Joshi, Priyanka Sharma Tanuja Joshi and Subhash Chandra. A spotlight on the recent advances in bacterial plant diseases and their footprint on crop production (2019) Recent Advancements in Microbial Diversity DOI: 10.1016/B978-0-12-821265-3.00003-7
- Tushar Joshi, Priyanka Sharma Tanuja Joshi and Subhash Chandra Recent advances on computational approach towards potential drug discovery against leishmaniasis 2021 Pathogenesis, Treatment and Prevention of Leishmaniasis
- Mahesha Nand Priyanka Maiti Priyanka Sharma Subhash Chandra and Veena Pande. QSAR Based Virtual Screening of Novel Phytochemical Inhibitors Against NF-kB Mediated Signaling in Breast Cancer (2022)
- Priyanka Sharma Shalini Mathpal, Tushar Joshi Subhash Chandra Sushma Tamta Computational approaches for drug discovery against COVID-19 2022
- Tushar Joshi ,Shalini Mathpal, Priyanka Sharma and Subhash Chandra Recent advances in in silico approaches for removal of environmental pollutants 2023
- Disha Tewari Priyanka Sharma Shalini Mathpal, Tushar Joshi Subhash Chandra and Veena Pand e8 Design of target hit molecules using molecular dynamic simulations: special key aspects of GROMACS or Role of molecular dynamic simulations in designing a hit molecule for drug discovery