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Folding@home and SWISS-MODEL. Taru Tukiainen ja Sini Sipponen S-114.2500 13.12.2006. Two Different Approaches to Protein Structure Modeling. Outline. Introduction to protein modelling Modelling the folding process with Folding@home Comparative modelling with SWISS-MODEL. Introduction.
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Folding@home and SWISS-MODEL Taru Tukiainen ja Sini Sipponen S-114.2500 13.12.2006 Two Different Approaches to Protein Structure Modeling
Outline • Introduction to protein modelling • Modelling the folding process with Folding@home • Comparative modelling with SWISS-MODEL
Introduction • Proteins are formed from a sequence of amino acids • Primary structure = polypeptide chain • Secondary structure • alpha helix • beta sheet • Tertiary structure is 3D • Quaternary structure is comprised of several tertiary structures • Native state is the functional form
Hydrophobic effect on Folding • Important force affecting the forming of the tertiary structure • Many residues of amino acids are hydrophobic • leads to the formation of a hydrophobic core • After folding, entropy of protein decreases, but the entropy of system decreases • Entropy promotes the folding process
Misfolding • Prions are result of faulty folding • Little known about how they form • Can convert normal protein molecules to prions
The Problems • Impossible to predict 3D structures from polypeptide chains • Folding processes and mechanisms are mostly unknown • the 3D, native state is very expensive and time consuming to solve
Modeling the Folding Process • Proteins fold in about 10 µs • Simulation would take dozens of years • Proteins are formed of thousands of atoms • Presented often as force fields • E.g. temperature, pH, covalent bonds between residues and hydrophobic effect must be taken in consideration • Proposed that the native state = minimum of potential energy curve
Folding@home • Objective to study the dynamics of protein folding and misfolding and the ensuing diseases • Uses distributed computing, volunteers let their PC to be utilized when they aren’t needed • Program is a screen saver • Uses packages • AMBER, TINKER and GROMAS
Ensemble Dynamics Method • Polypeptide chain is considered as a system waiting for enough free energy to overcome the free energy barrier (= the folding) • Group of several molecules M is simulated at the same time • simulation rate is then M times faster than a single simulation • The simulations are completed in hours not in years • Wait until the first one of the simulations overcomes the energy barrier • All the simulations are restarted from the new energy level
Comparative modelling • aims at building a 3D model for a protein with unknown structure • relies on detectable similarities between the protein sequence being modelled (the target) and at least one empirically determined protein structure (the template) • a small change in the protein sequence usually results only in a small change in its 3D structure
SWISS-MODEL • fully automated web-server for protein structure modelling • developed in 1993 • nowadays the most widely-used free web-based automated facility
Using SWISS-MODEL • User-friendly • User only submits the amino acid sequnce on a web form • optionally templates can be submitted as well • Results in 15-60 min by e-mail
1Search for suitable templates 2Check sequence identity with target 3Create ProModII jobs 4Generate models with ProModII 5Energy minimisation with Gromos96 First Approach Mode (regular) First Approach Mode (with user-defined templates) Optimise Mode How SWISS-MODEL works? • Five steps that can be repated iteratively
How SWISS-MODEL works? • Step 1 • search for suitable templates from ExNRL3D • program used: BLASTP2 • Step 2 • find sequences with good degree of similarity (>25%) • aling target and template sequences • program used: SIM
How SWISS-MODEL works? • Step 3 • create ProModII input files • Step 4 • generate models • program used: ProModII • Step 5 • minimize energy • program used: Gromos96
Are there problems with SWISS-MODEL? • Results must be concidered with care • procedure is non-experimental • no human intervention during model building • Chosen template affects the results • the more the template and the target sequence share identity the more accurate the results will be