The Family Business
Computational Biologist David Baker:
Modeling Protein Structures
David Baker Shapes Proteins
Computational biologist Baker is fighting disease with a better picture of proteins.
Proteins
Consist of amino acids
Attach to other molecules
Trigger chemical reactions in the body
Question:
How do scientists predict protein shapes?
Answer: Using approaches from physics and computer sciences
Rosetta Software Models Protein Structure
Making a Protein from Scratch
Many Rosetta Flavors
Different versions of Rosetta
Predict how a protein interacts with another protein or with DNA
Add in experimental data
Use structural information of other, similar proteins
Develop new drugs and vaccines based on interactions
Create custom proteins to interrupt or enhance reactions inside a cell
Goals of Computational Biology
Track interactions
of single proteins with other molecules
Develop accurate models of protein structures
Identify atoms, bonds, and places where chemical reactions occur
Computational biologists have more than one goal
Challenges & Solutions
Insufficient computing power
Simulations of 10,000 possibilities can take 100 days
Resolution of models
Low resolution models are not 100% accurate
Community-wide Experiment
Critical Assessment of Techniques for Protein Structure Prediction (CASP)
Scientific competition
Entrants from >200 labs worldwide
Work together
Learn about current challenges
Set future goals
Assess methods and technology for predicting protein structures
Team Baker's CASP Rainbow
Protein's actual X-ray crystallographic structure
Team's computer model
Rosetta highlighted even more detail than X-ray method
Research Applications
How might custom proteins keep people healthy?