Comprehensive collection of scientific literature, coding exercises, and interactive tools for protein design education
Curated papers from leading journals in structural biology and computational science
Jumper et al. • Nature
The landmark paper describing AlphaFold's protein structure prediction capabilities.
Dobson, C.M. • Nature
Comprehensive review of protein folding mechanisms and diseases.
Anand & Huang • Nature
Novel approach to protein design using generative neural networks.
Dill & MacCallum • Science
Fundamental principles governing how proteins fold into their native structures.
Hands-on Python programming with BioPython, PyMOL, and molecular simulation tools
Language: Python
Basic sequence manipulation, FASTA parsing, and amino acid properties
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Language: Python
Automated structure visualization and analysis using PyMOL API
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Language: Python
Setting up and running MD simulations with GROMACS and MDAnalysis
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Language: Python
Accessing and analyzing AlphaFold predictions programmatically
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Web-based applications for exploring protein structures, dynamics, and design principles
Advanced 3D molecular visualization in the browser
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Searchable database of protein structures with integrated tools
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Visualize protein folding energy landscapes and pathways
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Create and view protein folding animations
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Essential textbooks and reference materials for deeper understanding
View Reading ListCoding exercises and installation guides for bioinformatics software
Links to major protein databases and structural repositories
Database Links