1 / 11

Prediction of NO Oxidizable Cysteines

Prediction of NO Oxidizable Cysteines. Larry Grant Dr. Jamil Momand Cal State L.A. Redox-based protein regulation. similar to phosphorylation. reversible detectable Plays a major role in many physiological processes. inflammation, cell channel signaling, protease activity.

lou
Download Presentation

Prediction of NO Oxidizable Cysteines

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Prediction of NO Oxidizable Cysteines Larry Grant Dr. Jamil Momand Cal State L.A.

  2. Redox-based protein regulation. similar to phosphorylation. reversible detectable Plays a major role in many physiological processes. inflammation, cell channel signaling, protease activity S-nitrosylation

  3. COPP Project • Cysteine Oxidation Prediction Program • Will be web-based • Capable of predicting cysteine reactivity based on primary sequence and/or structure data. • 4 kinds of reactivity

  4. COPP Algorithm

  5. My Project • Generate parameters based on sequence information to predict NO susceptibility. • Stamler et, al have proposed a short motiff based on 27 sequences. • (Lys,Arg,His,Asp,Glu) – Cys – (Asp/Glu)

  6. Extracting parameters… • Data Mining • Target of 100-150 oxidizable thiols • 71 s-nitrosylated Cys from 63 different proteins. -20………-10…………..-1C+1….…+10……...…+20

  7. PSIPRED Analyzer • Three major functions: • Average confidence • Secondary structure frequency • Residue frequency

  8. H H H H C C C C C C 6 6 6 6 6 6 6 6 6 6 Green = Polar Blue = Basic Black = Hydrophobic Red = Acidic

  9. The future • Support Vector Machines • relative solvent accessibility • minimum of 1.3 Å2 • hydrophobicity, acidity, side-chain length

  10. References • Stamler, et al. “(S)NO signals: translocation, regulation, and a consensus motif.”Neuron. 1997 May;18(5):691-6. • Sanchez, et al. “Prediction of reversibly oxidized protein cysteine thiols using protein structure properties.” Protein Sci. 2008 Mar;17(3):473-81. • Hess, et al. “Protein S-nitrosylation - Purview and Parameters.” Nat Rev Mol Cell Biol. 2005 Feb;6(2):150-66.

  11. Thank you for all of your help: Dr. Momand Dr. Sharp Dr. Warter-Perez Dr. Johnston Ronnie Cheng My fellow interns. Funded by: Acknowledgements

More Related