I am an Erasmus Mundus Master's Scholar specializing in Bioinformatics, Immunoinformatics, Cheminformatics and AI-driven Drug Discovery.
Coming from a background in Biotechnology & Genetic Engineering, I am now bridging the gap between advanced dry lab biology and computational solutions in Europe. My focus is on leveraging artificial intelligence (AI) and structural biology to tackle Infectious Diseases.
- AI in Healthcare: Applying Deep Learning for de novo drug design.
- Structural Biology: Utilization of AlphaFold and molecular dynamics for target identification.
- Immunoinformatics: Epitope prediction and subunit and mRNA vaccine design.
Bioinformatics & Cheminformatics Tools
- Docking & Dynamics: AutoDock Vina, PyRx, Gaussian, Desmond, Maestro
- Visualization: PyMol, Discovery Studio, UCSF Chimera.
- Pathway Analysis: Reactome, MetaboAnalyst.
I am currently deepening my expertise in Linux-based HPC workflows and integrating AlphaFold predictions into high-throughput docking pipelines.
I am open to collaborations on projects regarding advanced QSAR modeling, virtual screening, or open-source bioinformatics tool development.
- 📫 How to reach me: aakilkhan971@gmail.com
