Model-Building of Proteins Using X-ray Data With Coot. Paul Emsley May 2013

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2 Model-Building of Proteins Using X-ray Data With Coot Paul Emsley May 2013

3 Which coot? Coot pre revision 4600 (or so) Linux: Mac OS X Windows Bill Scott's Nightlies Bernhard Lohkamp's WinCoot Tutorial Data: lmb.bioch.ox.ac.uk/coot/tutorial get *ligand* files

4 Modelling Proteins with Coot Overview Low resolution side-chains Tools for EM Tools for NCS

5 Acknowldegments, Collaborators Bernhard Lohkamp Kevin Cowtan Eugene Krissinel Stuart McNicholas Martin Noble Alexei Vagin

6 Feature Integration Refinement External Internal e.g. REFMAC Validation Internal External e.g. MolProbity Validation, Model Building and Refinement should be used together

7 Real Space Refinement Diamond, R. (1971). Acta Cryst. A 27, Major Feature of Coot Gradient-based minimiser (BFGS derivative) Geometry library is the standard CIFbased Refmac dictionary Minimise deviations in bond length, angles, torsions, planes, chiral volume, non-bonded contacts Including links and modifications Provides interactive refinement Subject to substantial extension

8 Representation of Results: The first attempt Student Reaction: Oh, I don't look at that window... (I maximise the window immediately) 6/100

9 Representation of Results: Second attempt... Student Reaction: Oh, box of meaningless numbers. Go away 7/100

10 Representation of Results: Traffic Lights Traffic Lights represent the RMSd values for each of the refined geometry types Good refinement Bad refinement 9/87

11 Refinement Techniques Single-Atom Drag Over-dragging Key-bindings: Triple Refine Single Residue Refine with Auto-accept

12 Low Resolution ModelBuilding Backrub rotamers

13 Previous

14

15

16

17

18

19

20

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22 Networking... PDBe interface... Drag and drop Also with drugbank 19/80

23 PDBe Recent Structures JSON parser, network threaded code

24 Using the API 21/80

25 RCrane: Semi-Automated Building of RNA

26 Handling EM maps 22/90

27

28

29 Partioning Maps: Watershed Algoritm 1D-analog

30 Pintilie et al. (2010) J.Struct.Biol.

31

32

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34 Finding Holes An implementation of Smart, Goodfellow & Wallace (1993) Biophysics Journal 65, 2455 Atomic radii from AMBER I used radii from CCP4 monomer library sans simulated annealing

35

36 Alpha Helix Placement Scenario: Looking at a new map, not built with automatic tools: I can see that there s a helix here - build it for me! From a given point: Move to local averaged maximum Do a 2D MR-style orientation search on a cylinder of electron density Build a helix (both directions) 1D Rotation search to find best fit Score based on density at CB positions Trim n Grow 37/100

37

38 Cylinder Search Pick the orientation that encapsulates the most electron density Using 2 rotation axes

39 2 x 1-D Helix orientation searches

40

41

42

43

44 Handling NCS...

45 Handling NCS Typical Scenario: I have done an LSQ overlap of my NCSrelated molecules and from the graph, have seen significant deviations in the positions of some side-chains. Why are they different?

46 ... NCS Differences graph

47 or Kleywegt Plots

48

49

50

51 NCS Model-modification Tools Automatic detection of NCS Copy Master NCS molecule to others And their operators Applies NCS transformation Copy NCS Master residue-range Change NCS Master chain NCS Skipping NCS Ligands

52 Interfaces and Assemblies: Interface to PISA

53

54 Acknowledgements Keith Wilson Eleanor Dodson Garib Murshudov Max Crispin Libraries, dictionaries Alexei Vagin, Eugene Krissinel Richardsons (Duke) Funding BBSRC, CCP4 & MRC

55

56 Peptide Backbone Geometry

57 Typical 2D Projection of Ramachandran Plot

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