I am Raksha Devi, an MSc Bioinformatics student (DBT Sponsored) at Savitribai Phule Pune University, with a research focus on computational drug discovery, structural biology, and AI-driven therapeutics. My work centers on molecular docking, ADMET analysis, and machine learning–based modeling of bioactive compounds to identify and optimize potential drug candidates.
I am particularly interested in structure-based drug design and epigenetic targets such as BRD4 and HDAC6, with an aim to develop reproducible computational workflows that integrate molecular modeling and data-driven approaches. My current efforts involve applying Python-based scientific computing tools, including NumPy, pandas, matplotlib, and seaborn, alongside machine learning techniques for biological data analysis.
My academic journey began with teaching NEET Biology, where I developed the ability to simplify complex biological concepts. I now apply this analytical clarity to research, including work on protein structure modeling and exploration of novel compounds such as triazole derivatives for anti-tuberculosis activity.
I am actively seeking opportunities for research collaboration and mentorship in computational biology and drug discovery. My long-term goal is to contribute to impactful, interdisciplinary research and pursue a fully funded PhD at the intersection of bioinformatics, artificial intelligence, and therapeutic design.
Research Interests -Structure-based drug design -AI-driven drug discovery -Epigenetic targets (BRD4, HDAC6) -Molecular docking and simulation -Computational biology -genomics