Advanced structure prediction
14 important questions on Advanced structure prediction
What types can you have for template free modelling?
Ab initio (knowledge based energies)
both go into fragment based model constructrion
What are template finding strategies (2 types)?
- Homology detection
- sequence search: BLAST
- profile search: PSI-BLAST / HMMer
- profile-profile search: FFAS03/COMPASS/ HHpred
- Fold recognition
- structure profile -sequence search: Fugue
- Threading: THREADER, RAPTOR
- meta-servers (+ insignificant scores)
Just as you looked at propensities to be buried or exposed, you can also create entire substitution tables for buried and exposed residues. What differences would you expect?
And charged ones more conserved on outside
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Explain what Rosetta is, and to which category it belongs.
- Ab initio prediction
- “Knowledge based”“ab initio”protein structure prediction
- Usage of existing databases of protein structures ( so ab initio not really suitable term)
- use if no suitable template exists
How does Rosetta work?
- PDB is used
- a fragment library is constructed
- so small protein fragments, small structure elements
- all possible elements and transitions included
- target sequence is also split up and tried to match with fragment
- can give multiple options, so monte carlo is used
- Fragments are assembled and multiple models are created, minimizing energy
- --> decoys
- from all decoys, you select the one that looks best like protein structure and matches what you know of the sequence the best
Explain ROSETTA fragment recognition.
Explain ROSETTA fragment assembly.
- Now we have a many fragments, at each sequence position, with many possibilities to combine them:
- We use Monte Carlo (MC) to search through different combinations.
- Good combinations are those that give a low energy .Each MC run will give you a different model, since it is a stochastic algorithm.
- done by looking at phi/psi angles
- Such models are called decoys.
What is considered in the ROSETTA energy function?
ROSETTA monte carlo: when are moves accepted?
- If it lowers the energy function
- If random number < Boltzman factor
(if move accepted then the model is accepted).
What is done for refinement in ROSETTA?
Now atomistic force field is used and only small changes allowed.
How are decoys scored?
- Protein like features (detailed energy function)
- Clusters of similar structures are more native like
- cf. entropy
What do you want regarding decoy selection?
So benchmarking: you want to see: lowest rosetta energy = lowest C-alfa RMSD. But it doensn't look like that!
How can the energy function be helped to function properly?
What is the idea of co-evolution?
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