About
Anjali Murmu is a PhD candidate in the Department of Pharmacy at Guru
Ghasidas University, Bilaspur. Her research interests include cancer and
Quantitative Structure-Activity Relationship (QSAR) studies. With over four
years of research experience, she specializes in in-silico toxicity assessment
of hazardous chemicals and the design of novel small molecules targeting
various diseases. Anjali has authored numerous research and review articles in peer-reviewed
journals, contributing significantly to the field of QSAR.
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- Discovery of newer 1,3,4-Oxadiazole clubbed Isoindoline-1,3-dione derivatives as potential anticancer agents: Design, machine learning, synthesis, molecular docking, ADMET, DFT and MD simulation Save
- Discovery of novel 1,3,4-oxadiazole derivatives as anticancer agents targeting thymidine phosphorylase: pharmacophore modelling, virtual screening, molecular docking, ADMET and DFT analysis Save
- Exploring QSTR and q-RASTR modeling of agrochemical toxicity on cabbage for environmental safety and human health Save
- Multilayered screening for multi-targeted anti-Alzheimer’s and anti-Parkinson’s agents through structure-based pharmacophore modelling, MCDM, docking, molecular dynamics and DFT: a case study of HDAC4 inhibitors Save
- Combinatorial Design of Imidazole/Triazole Linked Aryl-Substituted Derivatives as CYP17 Inhibitors Exploring Hansch and Molecular Docking Approach Save
- Unveiling the interspecies correlation and sensitivity factor analysis of rat and mouse acute oral toxicity of antimicrobial agents: first QSTR and QTTR Modeling report Save
- 1,3,4-Oxadiazole: An Emerging Scaffold to Inhibit the Thymidine Phosphorylase as an Anticancer Agent Save
- Thiazolidinedione an auspicious scaffold as PPAR-γ agonist: its possible mechanism to Manoeuvre against insulin resistant diabetes mellitus Save
- Integrated predictive QSAR, Read Across, and q-RASAR analysis for diverse agrochemical phytotoxicity in oat and corn: A consensus-based approach for risk assessment and prioritization Save
- In silico soil degradation and ecotoxicity analysis of veterinary pharmaceuticals on terrestrial species: first report Save