Welcome!
I am Taner Karagöl, a researcher dedicated to decoding the architecture of life to solve critical challenges in human disease.
My work integrates medicine, structural biology, protein engineering, genomics, and other fields of research to reveal disease mechanisms and develop innovative therapeutic approaches.
I conduct structural research with Shuguang Zhang at the Massachusetts Institute of Technology (MIT) and contribute to genomic research with UCL Medical School (Prof. Steven J Perkins at UCL). I am an incoming postdoc at MIT. I am currently final-year MD candidate at Istanbul University. I had clinical placements at Harvard Medical School (BIDMC) and King's College London.
You can find more detailed information here:
Other links:



Research areas

Macromolecule Structure
& Design
-Protein Engineering: Design of environmental variants and inhibitory isoforms. -Structure-Based Drug Design: 3D structure predictions, MMGBSA, MMPBSA, and binding predictions. -Membrane Biophysics: MD simulations of lipid-protein conformational dynamics. -Oligomers & Lipid Interactions: Modeling neuronal assemblies and membrane distortions.
Featured Article:

Genomics
& Molecular Evolution
-Clinical Genomics: Locus-specific variant databases (Haemophilia, Glutamate). -Evolutionary Medicine: Purifying selection and Shannon entropy modeling. -Mutational Profiling: Analysis of V>A>T pathways and genetic code architecture. -Transcriptomics: Ancient RNA conservation and splice-altering variations.
Featured Article:

Medicine
& Methodology
- Neuroscience & Immunology: Disease-involved proteins and immune response pathways. -Statistical Medicine & AI: Open science automation workflows, AI models. -Software & Tool Development: Creation of toolkit and bioinformatics pipelines. -Theoretical Biology: Models to predict biological competition.
Featured Article:
Updates
We are mentioned in Google DeepMind’s AlphaFold 5-year impact blog!
Latest publication:
Latest award: Dean’s Award for Scientific Excellence 2025
Latest presentation: Nature Conferences - AI for Discovery and Research Automation
Life & Science









