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Molecular modelling Practical session

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Presentation on theme: "Molecular modelling Practical session"— Presentation transcript:

1 Molecular modelling Practical session
José R. Valverde CNB/CSIC © José R. Valverde, 2014 CC-BY-NC-SA

2 A tour of servers Building models today can be very easy You need
A sequence in FASTA format (or maybe the sequence alone) An address (to receive the results) Patience How-to: Connect to modeling server Enter your address and paste your sequence Click on “Submit” or equivalent

3 MetaServers GeneSilico www.genesilico.pl/meta2/
Wide variety of predictions LOMETS: zhanglab.ccmb.med.umich.edu/LOMETS Local MetaThreading server Protein Model Portal: Interactive Modeling Access existing models

4 Servers CPHmodels http://www.cbs.dtu.dk/services/CPHmodels/ HHpred
ModBase LOOPP Zhang Lab

5 Servers (continued) Phyre2 http://www.sbg.bio.ic.ac.uk/~phyre2/ (ps)2
PsiPred M4T SwissModel

6 Threading software HHpred http://toolkit.tuebingen.mpg.de/hhpred
RaptorX Phyre2 SPARKSX sparks-lab.org/yueyang/server/SPARKS-X/ 3D-JigSaw

7 Ab initio modeling Some servers
Quark:zhanglab.ccmb.med.umich.edu/QUARK/ Robetta: Evfold:

8 D I Y

9 MODELLER A constrains-based molecular modeling program
Freely available (but you must register) for academic use Requires a key to unlock (you'll get it after successful registration) Python and shell programming highly advisable

10 TRITON A GUI to various common tasks, among them protein modeling
Uses standard stock “scripts” to perform its work Generally useful for in silico mutagenesis You can study and change the scripts Free for academic use, but requires registration Requires a license for MODELLER

11 In silico mutagenesis

12 Determine relevant a.a. Launch UCSF Chimera
Open Documents/epsilon-zeta/3Q8X.pdb Select → Residue → UD1 Tools → Surface/Binding Analysis → FindHBond Label H-bond with distance Relax H-bond constrains Color H-bonds not meeting precise criteria differently Only find H-bonds with at least one end selected Do not include intra-residue H-bonds If end-point atom is hidden, show endpoint residue

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14 Select a. a. to mutate Look at the active site
Select an amino acid to mutate Note the amino acid type, number and chain Tips: Select → Clear selection Actions → Ribbon → Hide Thr 118 D has two hydrogen bonds to the substrate Quit UCSF Chimera

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16 Open TRITON Open a terminal and type “triton &”

17 Create a new mutagenesis project
Click on New Project Select Mutagenesis to launch the wizard

18 Choose a project name Read the explanation and press “Forward”
Choose a project name (e. g.T118A) Place project to directory “~/Documents/epsilon-zeta” Press Forward

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20 Select structure to mutate
Select the PDB file ~/Documents/epsilon-zeta/3Q8X.pdb Press Forward

21 Select Residue to mutate
Look for 118 Thr D and add (→) it to the list Press Forward

22 Select desired mutation
Click on “Ala” and press Forward

23 Set modeller parameters
For speed, we will use Mol. Dynamic level: very fast We assume the mutant does also bind the substrate Read HETATM coordinates Include/add H in the model Press Forward

24 Run calculation Click on Run calculation automatically Press Finish

25 Wait for green light Click on the project to see its status
You can exit Triton while the calculation runs Wait for the green check mark: done

26 Look under the hood Go to a terminal Move to the working directory
cd Documents/epsilon-zeta/T118A/T118A/Mutagenesis/ Look around: “ls” Look at the alignment: “less mutant.ali” Look at the modeller script: “less model.py” Look at modeller log file: “less model.log”

27 Check mutation effects
Open UCSF Chimera Open the results file Documents/epsilon-zeta/T118A/T118A/Mutagenesis/ mutantT118A.pdb Check the number of H-bonds with amino acid A118 Tips: select ligand residue (UD1) Compute H-bonds and save to Reply-Log Check Reply Log (Favorites → Reply Log)

28 Draw your own conclusions
How many H-bonds does the mutant stablish with the ligand? Are still there the H-bonds between T118 and UD1? Are there more or less overall H-bonds? Consider that Modeller treats the ligand as a rigid molecule and we used a very fast MD optimizer The ligand may also adapt to the protein moiety Affinity and reactivity also depend on other factors

29 The End? Image from PublicDomainPictures. CC0

30 A new beginning Image from PublicDomainPictures. CC0


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