Title: Discovering critical residues in glutathione reductase http://dev.gentoo.org/~spyderous/ bioinformatics_GR_presentation.ppt
1Discovering critical residues in glutathione
reductasehttp//dev.gentoo.org/spyderous/bioinf
ormatics_GR_presentation.ppt
Donnie Berkholz
2What and How
- Role
- Reduced thiols
- Oxidative stress
- DNA precursors
- H transport
- Mechanism
- Flavoprotein
- NADPH
- Disulfide
3Goals
- Figure out the best programs and methods for
this analysis - Search for unknown critical residues
- Verify whether residues already thought critical
are actually conserved - Check for potential differences in function and
specificity among subfamilies (Podar et al.)
4Multiple sequence alignments
5Multiple sequence alignments
6Multiple sequence alignments
7Multiple sequence alignments
ClustalW
Dialign-T
Muscle
ProbCons
8ProbCons
- Probabilistic consistency
- Pair-HMM based
- Three-way alignment consistency
- Parameters derived from training
- Maximized accuracy
9How to find important residues?
- Principal component analysis (PCA)
- Each sequence becomes a vector
- Successive dimensions grow less significant
- Evolutionary trace and friends
- Divide tree into groups, then check them
- So, first we need trees
10Trees
- Maximum likelihood
- ProML (PHYLIP)
- Gamma distribution invariant sites
- Approximate with 5 rate categories
- Bayesian
- MrBayes
- Gamma distribution invariant sites
- MCMC Markov chain Monte Carlo
- Mixed sample with probability -gt WAG
- Try variable-rate models
11(No Transcript)
12ConSurf
- Calculates evolutionary conservation (Bayesian)
- Maps onto protein structure
- Input flexibility
- PDB -gt seq. -gt PSI-BLAST -gt MSA -gt NJ -gt CS
- Can't yet analyze subfamilies
13(No Transcript)
14NADPH environment
15Disulfide environment
16Catalytic H467D472
17Structure without function?
18Surface F354D22
19Surface D316T321
20FAD binding
21Stabilizing the phosphate
22Structural stability
23What next?
- Check for validity of tree model
- Tree-determinant residues
- Experimental functional determination
24Summary
- ProbCons is great for MSA's
- Bayesian trees take forever, but they provide
confidence values (no bootstrap!) - ConSurf maps sequence conservationonto protein
structures - Supports catalytic hypothesis
- New putative functional roles
- Interactions? F354D22, D316T321
- Binding I26, R218
- Structure H434 etc
25References
ClustalW Chenna et al. NAR 31 3497
(2003). Muscle Edgar. NAR 32 1792
(2004). Dialign-T Morgenstern. NAR 32 W33
(2004). ProbCons Chuong et al. Genome Res. 15
330 (2005) Jalview Clamp et al. Bioinform. 12
426 (2004). PHYLIP Felsenstein. Distributed by
author (2005). MrBayes Ronquist and Huelsenbeck.
Bioinform. 19 1572 (2003). ConSurf Landau et
al. NAR 33 W299 (2005). PyMol DeLano.
www.pymol.org (2005).