from data to publication
play

From data to publication Walk through ATSAS programs and data - PowerPoint PPT Presentation

From data to publication Walk through ATSAS programs and data deposition Al Kikhney EMBL Hamburg Solution Scattering from Biological Macromolecules July 7, 2020 ATSAS software package 3.0 Over 90 programs Operating systems: Windows


  1. From data to publication Walk through ATSAS programs and data deposition Al Kikhney EMBL Hamburg Solution Scattering from Biological Macromolecules July 7, 2020

  2. ATSAS software package 3.0 • Over 90 programs • Operating systems: • Windows 8 and 10, • macOS 10.12 Sierra, 10.13 High Sierra and 10.14 Mojave, • Red Hat/CentOS 7 and 8, • Ubuntu 16 and 18, • Debian 9 and 10. • Free for academic users: https://www.embl-hamburg.de/biosaxs/download.html K. Manalastas-Cantos, P.V. Konarev, N.R. Hajizadeh, A.G. Kikhney, M.V. Petoukhov, D.S. Molodenskiy, A. Panjkovich, H.D.T. Mertens, A. Gruzinov, C. Borges, C.M. Jeffries, D.I. Svergun and D. Franke (2020) ATSAS 3.0: Expanded functionality and new tools for small-angle scattering data analysis J. Appl. Cryst., submitted

  3. https://www.embl-hamburg.de/biosaxs/software.html

  4. Primary data analysis Monodisperse systems Polydisperse systems

  5. Primary data analysis data IM2DAT 2D image PRIMUS

  6. Primary data analysis data PRIMUS • potentially unique GNOM (PDDF) AMBIMETER • might be ambiguous Ab initio modelling DAMAVER/DAMCLUST Most representative model(s)

  7. Data from www.sasbdb.org/data/SASDFP8/

  8. Data from www.sasbdb.org/data/SASDFP8/

  9. Command line tool: DATMW

  10. Command line tool: GNOM

  11. https://www.embl-hamburg.de/biosaxs/dattools.html

  12. Ab initio modelling Program When to use DAMMIF Always! (well, almost) DAMMIN If DAMMIF doesn’t fit; exotic symmetries GASBOR Proteins smaller than 660 kDa + good data at s > 8/R g MONSA Complexes (e.g. protein:RNA) with multiple data sets, typically with SANS data www.embl-hamburg.de/biosaxs/atsas-online/

  13. Monodisperse systems data model

  14. Monodisperse systems data CRYSOL fit

  15. Monodisperse systems SANS data CRYSO N fit

  16. Monodisperse systems data CRYSOL bad fit?

  17. Monodisperse systems data SREFLEX Flexible refinement using normal mode analysis fit refined model

  18. Monodisperse systems data • Proteins only, full-length SREFLEX • Works best on smaller proteins • Symmetry is not supported fits refined models

  19. Monodisperse systems data NMATOR Flexible refinement using NMA in dihedral/torsion angle space fits refined models

  20. Monodisperse systems data SASREF Rigid body modelling of multisubunit complexes fit complete model

  21. Monodisperse systems data • Complementary data from other methods • Supports GLYCOSYLATION SASREF • Contrast variation (SANS) • Equilibrium mixtures fit complete model

  22. Monodisperse systems data CORAL ? Missing linkers Modelling multidomain protein complexes against multiple data sets fit complete model

  23. Monodisperse systems CRYSOL/CRYSON SREFLEX/NMATOR SASREF CORAL www.embl-hamburg.de/biosaxs/atsas-online/

  24. Polydisperse systems • SEC-SAXS

  25. Data from www.sasbdb.org/data/SASDFN8/

  26. Data from www.sasbdb.org/data/SASDFN8/

  27. Polydisperse systems data models

  28. Polydisperse systems data OLIGOMER fit + volume fractions

  29. Polydisperse systems data OLIGOMER ? ? fit?

  30. Polydisperse systems data SASREF MX Rigid body modelling of equilibrium mixtures fit complete model(s)

  31. Polydisperse systems data.out GASBOR MX ab initio reconstruction of protein oligomer:monomer mixtures fir oligomer model

  32. Polydisperse systems data protein Ensemble Optimization Method + EOM sequence RANCH & GAJOE fit + R g histogram

  33. Polydisperse systems protein RANCH + EOM sequence Generate a pool of RANdom CHain models

  34. Polydisperse systems protein RANCH + EOM sequence Generate a pool of RANdom CHain models data GAJOE fit + R g histogram EOM Genetic Algorithm Judging Optimisation of Ensembles

  35. Polydisperse systems NMATOR Custom pool data GAJOE fit + R g histogram EOM Genetic Algorithm Judging Optimisation of Ensembles

  36. Polydisperse systems OLIGOMER SASREFMX GASBORMX EOM EOM www.embl-hamburg.de/biosaxs/atsas-online/

  37. SASpy – PyMOL plugin

  38. https://www.embl-hamburg.de/biosaxs/manuals/

  39. Can’t find a manual? C:\data\SAXS> datop --help

  40. Can’t find a manual? C:\data\SAXS> datop --help Usage: datop [OPTIONS] <OPERATOR> <FILE1> <FILE2|X> Apply a mathematical operator to a pair of data files Known Arguments: OPERATOR Mathematical operator, one of ADD, SUB, MUL, DIV or NORM FILE1 First operand: data file FILE2|X Second operand: data file or numeric constant Known Options: -o, --output=<FILE> File to save the result data (default: stdout) -h, --help Print usage information and exit -v, --version Print version information and exit

  41. Data deposition

  42. 1/cm

  43. Sharing unpublished data

  44. https://www.sasbdb.org/draft-preview/359/h7w3ks5vvs/

  45. https://www.sasbdb.org/data/SASDDN2/z6c25yspdo/ Unreleased SASDDN2

  46. https://www.sasbdb.org/data/SASDDN2/ Unreleased SASDDN2

  47. Thank you! biosaxs.com www.sasbdb.org www.saxier.org/forum

Recommend


More recommend