معرفی
Prof. Andrew Torda leads the Biomolecular Modeling research group at the University of Hamburg's Center for Bioinformatics (ZBH). He holds a professorship and focuses on computational methods in structural biology. His work includes developing force fields for protein structure prediction, substitution matrices for sequence alignment, and threading algorithms like 'wurst.' He joined the University of Hamburg in 2002 after positions at the Australian National University and ETH Zurich.
Research Interests:
- Low-resolution force fields for protein modeling
- Scoring functions and protein sequence optimization
- Lattice models for free energy estimation
- Protein sequence-structure alignment methods
Software Projects:
- 'wurst' threading code with a web server for structural predictions
- Optimized amino acid substitution matrices
- Genome simulation tools (collaboration with Jan Wigger)
Teaching & Collaboration: Teaches bioinformatics modules and mentors students on software development projects. His group actively engages in computational methods for molecular design and systems biology.
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