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Amisha Bisht

Observed name: Bisht, Amisha
ORCID: 0009-0000-8816-6977
Observed ORCID: 0009-0000-8816-6977
OpenAlex ID: A5104320327
Network pharmacology, molecular docking, and molecular dynamics simulation to elucidate the mechanism of anti-aging action of Tinospora cordifolia
2023 · Amisha Bisht, Disha Tewari, et al. · Molecular Diversity · 134
Identification of AChE targeted therapeutic compounds for Alzheimer’s disease: an in-silico study with DFT integration
2024 · Kalpana Rawat, Disha Tewari, et al. · Scientific Reports · 37
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Network pharmacology-based approach to investigate the molecular targets and molecular mechanisms of Rosmarinus officinalis L. for treating aging-related disorders
2024 · Amisha Bisht, Disha Tewari, et al. · Biogerontology · 16
Screening of potential inhibitors of Leishmania major N-myristoyltransferase from Azadirachta indica phytochemicals for leishmaniasis drug discovery by molecular docking, molecular dynamics simulation and density functional theory methods
2023 · Disha Tewari, Kalpana Rawat, et al. · Journal of Biomolecular Structure and Dynamics · 9
Investigating the aging-modulatory mechanism of Rasayana Churna, an Ayurvedic herbal formulation, using a computational approach
2025 · Amisha Bisht, Anita Nayal, et al. · Biogerontology · 5
Computational screening of matrix metalloproteinase 3 inhibitors to counteract skin aging from phytochemicals of Nelumbo nucifera Gaertn
2024 · Amisha Bisht, Disha Tewari, et al. · Theoretical Chemistry Accounts · 5
Exploring the molecular mechanism of anti-inflammatory action of Coriandrum sativum using network pharmacology, molecular dynamic simulation, and density functional theory
2024 · Shilpi Rawat, Pankaja Pandey, et al. · Journal of Proteins and Proteomics · 3
In-silico investigation of phytochemicals of Aegle marmelos (L.) Corrêa as anti-skin aging agents against matrix metalloproteinases (MMP-1, MMP-3, and MMP-9) using network pharmacology, molecular docking, and molecular dynamics simulation
2026 · Amisha Bisht, Anita Nayal, et al. · In Silico Research in Biomedicine · 2
Exploration of Various Supervised Machine Learning Algorithms for Predictive Modeling of Caenorhabditis elegans Lifespan-Extending Compound Dataset
2025 · Amisha Bisht, Disha Tewari, et al. · Medinformatics · 2
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Network pharmacology, pathway enrichment, and molecular docking analysis reveal the multi target therapeutic potential of phytochemicals from Eleusine coracana
2026 · Amisha Bisht, Prabha B. Dhondiyal, et al. · Discover Chemistry. · 1
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Traditional uses, chemical composition and pharmacological properties of genus Crotalaria
2026 · Sanjay Kumar, Amisha Bisht, et al. · Journal of Holistic Integrative Pharmacy · 1
In silico evaluation of Picroside I and Picroside II from Picrorhiza kurroa as potential EGFR tyrosine kinase inhibitors for non-small cell lung cancer
2026 · Amisha Bisht, Priyanka Sharma, et al. · In Silico Research in Biomedicine · 1
Computational de novo discovery of novel mTOR inhibitors using recurrent neural networks and integrated in silico approaches including docking and DFT
2026 · Amisha Bisht, Sanjay Kumar, et al. · Discover Chemistry.
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Integrated network pharmacology and molecular docking analysis of Hedychium spicatum phytochemicals as potential ESR1 inhibitors for pancreatic cancer therapy
2026 · Amisha Bisht, Priyanka Sharma, et al. · Discover Chemistry.
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Urban Sustainability, Green Spaces, and Eco-city Planning
2026 · Meenakshi Bisht, Amisha Bisht, et al. · Iterative International Publishers eBooks
Decalepis hamiltonii (Swallow root)
2026 · Pooja Kadyan, Radhika Theagarajan, et al. · Elsevier eBooks
Network Pharmacology: Illuminating the Path Towards Exploring the Herbal Formulations of the Indian Traditional Ayurvedic System
2025 · Shilpi Rawat, Amisha Bisht, et al. · CRC Press eBooks
Discovering potent GSK3β inhibitors in Rosmarinus officinalis L. for Alzheimer’s disease using homology modeling, molecular docking, MD simulation
2025 · Amisha Bisht, Anita Nayal, et al. · Network Modeling Analysis in Health Informatics and Bioinformatics
Works count: 19
Citation count: 216
H-index: 5
I10-index: 3
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