1 / 11

T. JADCZYK, M. Malawski, M. Bubak, and I. Roterman ACC Cyfronet AGH

T. JADCZYK, M. Malawski, M. Bubak, and I. Roterman ACC Cyfronet AGH. Examining Protein Folding Process Simulation and Searching for Common Structure Motifs in a Protein Family as Experiments in the GridSpace2 Virtual Laboratory. Cracow Grid Workshop Krakow, 09.11.2011. Outline.

helen-mayo
Download Presentation

T. JADCZYK, M. Malawski, M. Bubak, and I. Roterman ACC Cyfronet AGH

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. T. JADCZYK, M. Malawski, M. Bubak, and I. Roterman ACC Cyfronet AGH Examining Protein Folding Process Simulation and Searching for Common Structure Motifs in a Protein Family as Experiments in the GridSpace2 Virtual Laboratory Cracow Grid Workshop Krakow, 09.11.2011

  2. Outline Protein folding process and Fuzzy Oil Drop (FOD) model FOD algorithm FOD experiment workflow Sequences and proteins' structures comparison Tools used Conservation score Searching for common structure motifs - experiment workflow

  3. Fuzzy Oil Drop model Protein Structure – chains, amino acids, atoms Protein Folding – primary, secondary, tetriary structure Fuzzy Oil Drop is Based on Kauzmann's Oil-Drop model of protein molecule Assumes folding process directed by water environment Extended from discrete one to 3-D Gauss function used to describe the idealized hydrophobicity distribution Hydrophobic: "Water hating". Amino acids that prefer to be in a non-aqueous (lipid) environment because they cannot make favorable interactions with water. The highest hydrophobicity concentration is expected in the center of the protein body, with the decrease of its values toward the surface, where the hydrophobicity is expected to be close to zero

  4. Fuzzy Oil Drop – algorithm structure 1. Input: PDB file 2. Simplify protein's residues to „effective atoms” representation 3. Find two furthest atoms, Move protein to origin center, rotate 4. Determine theoretical hydrophobicity distribution 5. Calculate observed hydrophobicity, 6. Test similarity of both distributions 7. Store results: PDBID, chain, chain length, organism, method, function O/T, O/R values Future: O/T , O/R profiles

  5. Fuzzy Oil Drop – algorithm structure

  6. Fuzzy Oil Drop – experiment workflow

  7. Fuzzy Oil Drop – GS2 Experiment Workbench

  8. Fuzzy Oil Drop – experiment results Input: PDB Database (March 2011), 71100 files, 11.4GB Final Results: 68100 proteins, 321800 chains

  9. Structure and Sequence comparison Search for conservative areas to discover protein function or find ligand binding site Comparison on three levels of protein description: Amino acid sequence Structural codes 3D structures W score to determine area's conservativeness Used alignment tools: ClustalW – multiple sequences alignment Mammoth – multiple structures alignment

  10. Structure and sequence comparison - experiment

  11. Thanks for your attention!

More Related