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Shape determination of proteins in solution using high throughput computing Donna Lammie

Shape determination of proteins in solution using high throughput computing Donna Lammie Structural Biophysics Group School of Optometry and Vision Sciences Cardiff University. Outline of Talk Setting the scene Data collection Data analysis software

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Shape determination of proteins in solution using high throughput computing Donna Lammie

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  1. Shape determination of proteins in solution using high throughput computing Donna Lammie Structural Biophysics Group School of Optometry and Vision Sciences Cardiff University

  2. Outline of Talk Setting the scene Data collection Data analysis software High throughput computing through Condor

  3. Proteins are large organic compounds made of amino acids arranged in a linear chain and joined together by peptide bonds. Each protein has a unique, genetically defined amino acid sequence which determines its specific shape and function. Proteins can work together to achieve a particular function, and they often associate to form stable complexes.

  4. Roles and Functions Enzymes Structural Hormones Immunoglobulins Involved in oxygen transport Muscle contraction Cell signalling

  5. Techniques to investigate protein structures: X-ray crystallography is the science of determining the arrangement of atoms within a crystal from the manner in which a beam of X-rays is scattered from the electrons within the crystal. Restrictions: X-ray crystallography requires good quality crystals Therefore, a significant fraction of proteinscannot be analysed

  6. Structure of haemoglobin - the iron-containing oxygen-transport metalloprotein in the red blood cells of the blood in vertebrates and other animals.

  7. Importance of understanding structure of proteins • how individual components fit together to build complex systems • structure - function • Possibility of manipulation • Drug design • Drug therapies

  8. Why scatter solutions? • Main advantage - the possibility to study the structure and structural dynamics of native particles in physiological solutions. • Broad range of sizes and conditions • Shape • Complexes

  9. Research Interests: * Structural organisation at the nanometer length scale. * Systems in solution / in situ X-ray Scattering * ideal for investigating the structure and organisation of particles/molecules in a system. * provides information about size, shape and arrangement of particles/molecules.

  10. X-ray Diffraction (high angles) Diffraction from repeating structure (crystal lattice) Incident X-rays SAXS (small angles) Scattering from particles or changes in electron density Sample X-rays interact with molecules and are deflected. We can interpret the deflection.

  11. Detector Scattered X-Rays Sample X-Rays Small angle X-ray scattering image The shape and distribution of the scattering provides information such as size, shape and arrangement of the scattering particles.

  12. Synchrotron sources

  13. The two-dimensional data was converted into one-dimensional linear profiles. Background corrected - buffer subtracted from protein using PRIMUS. Konarev, P.V., Volkov, V.V., Sokolova, A.V., Koch, M.H.J. and Svergun, D.I. (2003) J. Appl. Cryst, 36, 1277-1282.

  14. Buffer (background) Protein Subtracted/corrected data

  15. GNOM was used to estimate the particle distance distribution function, ρ(r) from the experimental scattering data. GNOM output is entered into DAMMIN and GASBOR. Semenyuk, A.V. and Svergun, D.I. (1991) J. Appl. Cryst, 24, 537-540.

  16. Size and shape of molecules in solution can be extracted from the scattering pattern using a series of computer algorithms. DAMMIN uses an ab initio method to build models of the protein shape by simulated annealing using a single-phase dummy-atoms model (Svergun, 1999). GASBOR uses similar parameters to DAMMIN; however, instead of the dummy-atom model, an ensemble of dummy residues are used to form a chain-compatible model (Svergun et al., 2001). Svergun, D.I. (1999) Biophys. J., 76, 2879-2886. Svergun, D.I., Petoukhov, M.V. and Koch, M.H.J. (2001) Biophys. J., 80, 2946-2953.

  17. START FINISH

  18. Output files from Dammin and Gasbor are entered into a series of programs (DAMAVER), which align the models and produce an average of the models. In order to obtain a reliable representation of the protein shape, DAMMIN and GASBOR need to be repeated a number of times and averaged. The greater the number of repetitions the more accurate model is produced.

  19. Transglutaminases are a family of enzymes that are capable of introducing isopeptide bonds in or between polypeptide chains The average shape of 20 independent simulations produced from DAMMIN.

  20. Using Condor, Dammin and Gasbor can be run multiple times for the same protein, and also multiple times for a number of different proteins simultaneously. Before Condor, the total time for 20 repeat runs of approx. 36 mins would have been approximately 12 h on one PC. Using Condor, 20 repeat runs were performed in approximately 36 mins. Representing a significant performance gain in terms of accessibility.

  21. A Submit Script Generator (SSG) was developed by James Osborne to assist running DAMMIN and GASBOR using the Condor toolkit. The SSG asks the user only once for the necessary information to prepare and submit multiple jobs to Condor; thereby reducing the time taken to submit and process multiple proteins.

  22. Running Dammin on Condor ======================== 1) put your gnom.out files into the input directory 2) double click on make.bat This runs makesubmit.exe which will ask you some questions 3) double click on submit.bat The jobs are submitted You can check the progress of your jobs using "condor_q" When your jobs are finished 4) copy the input and output directories somewhere safe 5) double click on clean.bat 6) Go to 1

  23. Central Manager master, collector, negotiator Execute Nodes 1600 Workstations Submit Nodes 30 Workstations master, schedd, shadow master, startd, starter

  24. >Run >cmd> condor_q

  25. Summary User friendly Easy to use Overall, Condor has proved invaluable to our research since the work is completed rapidly and efficiently

  26. Related Publications Lammie D., Osborne J., Aeschlimann D., Wess T.J. (2007) Rapid shape determination of tissue transglutaminase using high-throughput computing.Acta crystallographica section D-biological crystallography, 63: 1022-1024. Mankelow T.J., Burton N., Stefansdottir F. O., Spring F. A., Parsons S. F., Pedersen J. S., Oliveira C. L., Lammie D, Wess T., Mohandas N., Chasis J. A., Brady R.L., Anstee D.J. (2007) The Laminin 511/521-binding site on the Lutheran blood group glycoprotein is located at the flexible junction of Ig domains 2 and 3. Blood, 110:3398-406. Dyksterhuis L. B., Baldock C., Lammie D., Wess T. J., Weiss A.S. (2007) Domains 17-27 of tropoelastin contain key regions of contact for coacervation and contain an unusual tum-containing crosslinking domain. Matrix Biology, 26: 125-135. Baldock C., Siegler V., Bax D. V., Cain S. A., Mellody K. T., Marson A., Haston J. L., Berry R., Wang M.C., Grossmann J. G., Roessle M., Kielty C. M., Wess T. J. (2006) Nanostructure of fibrillin-1 reveals compact conformation of EGF arrays and mechanism for extensibility.Proc Natl Acad Sci U S A, 103:11922-7.

  27. Acknowledgements Cardiff University: Tim Wess Daniel Aeschlimann James Osborne (E-mail: condor@cardiff.ac.uk )

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