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Molecular Replacement Martyn Winn CCP4 group, Daresbury Laboratory, UK What do we know from the diffraction data? The point group of the new crystal form, the volume of the asymmetric unit and hence the likely number of molecules it contains (Matthews coefficient).

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molecular replacement

Molecular Replacement

Martyn Winn

CCP4 group, Daresbury Laboratory, UK

what do we know from the diffraction data
What do we know from the diffraction data?
  • The point group of the new crystal form, the volume of the asymmetric unit and hence the likely number of molecules it contains (Matthews coefficient).

Note: We often cannot be sure of the space group and will need to search for the solution in several.

[Spacegroup determination rests on observation of absences in certain zones – eg Only l=4n seen on the 00l axis. Is this a 4 1 screw axis? A 4 3 screw axis? pointless tries. Scala plot?

Or are there two or more molecules in the asymmetric unit in the same orientation but separated by (x,y,1/4)?]

  • The quality of the experimental intensities.
  • Are they complete? Saturated at low resolution? Anisotropic?
  • Are the intensity statistics reasonable? Could the crystal be twinned?
data analysis before mr
Data analysis before MR

Matthews coefficient

Number copies in a.s.u.

Native Patterson

(translational NCS)

B factor analysis

Self RF

(rotational NCS)

non crystallographic translation vector thank you airlie

If the asymmetric unit contains two molecules related by a translation, then the native Patterson will have a large peak at the position representing this translation.

Unlike non-crystallographic rotations, non-crystallographic translations are not useful in structure determination. Use exptl phases?

In fact, they introduce awkward structure factor correlations not currently accounted for, and can make structures difficult to refine.

If there are more than one molecule in the asymmetric unit you should always check for non-crystallographic translation.

MOLREP does this within the program

NON-CRYSTALLOGRAPHIC TRANSLATION VECTOR (Thank you Airlie)

Asymmetric unit of unknown crystal structure

with non-crystallographic translation.

Crystal Patterson has origin sized peak at the translation vector.

what else can we do if there are several molecules in the asymmetric unit
What else can we do if there are several molecules in the asymmetric unit
  • A self rotation function can be calculated from the measured data – it does not need a model.
  • What can it show? If the molecule forms an oligomer, eg. a dimer, or trimer then we will see a peak in the self rotation map.
  • However this can be mixed up with crystal symmetry and be very confusing to interpret!
self rotation function thank you airlie
SELF-ROTATION FUNCTION (Thank you Airlie)

If there is more than model molecule in the asymmetric unit (and no NCT), then the rotation function of the Patterson on itself will give a peak at the angle corresponding to the relative rotation between the two.

The self rotation function does not need a model!

This is useful for confirming or determining how many copies of the structure you have in the asymmetric unit. It should therefore be one of the first things you do with a new data set. If non-crystallographic symmetry is present it us extremely useful in MIR and density modification.

Asymmetric unit of unknown crystal

with non-crystallographic two-fold symmetry

Crystal Patterson has same two-fold symmetry near the origin (intra-molecular peaks only)

self rotation function for s100
Self Rotation Function for S100

symmetry related 2-folds

finding search models
Finding search models
  • Need a PDB file for a structurally similar protein. This usually means a homologous protein.
    • Either you have one already? 
    • Or you search the Protein Data Bank
  • Search is based on sequence alignment between target protein and proteins in PDB.
  • Several bioinformatics tools can help here:
    • OCA, MSDlite, MSDtarget - all use FASTA
      • www.ebi.ac.uk/msd
    • psiBLAST - iterative searching
      • www.ncbi.nlm.nih.gov/BLAST
    • FFAS - profile-profile alignment
    • ffas.ljcrf.edu/ffas-cgi/cgi/ffas.pl
editing search models
Editing search models
  • Don’t use a raw PDB file for Molecular Replacement unless it is very similar (e.g. same protein, different conditions, ligand, etc.)
  • Edit it to:
    • remove residues that don’t occur in the target
    • remove side chain atoms that don’t occur in the target
  • (these assume a know alignment from model to target)
    • remove uncertain regions of model (check B factors, occupancies)
    • remove flexible loops

Note that we don’t add anything!! Homology modelling?

Consider use of individual domains and multimers

(see MrBUMP below)

slide10

Chainsaw

Norman Stein, Daresbury Lab.

mr model preparation chainsaw
MR model preparation: chainsaw
  • Molecular replacement model preparation utility that edits a PDB search model according to a sequence alignment.
  • Features:
    • Removes un-aligned residues from the model
    • Prunes non-conserved residues back to the gamma atom
    • Preserves more atoms than in polyalanine model

Unmodified template

Chainsaw template

Polyalanine template

Example of 1mr6 used as a template for 1tgx (38% sequence identity)

slide12

Running Chainsaw:

complete

PDB file

model to

target

alignment

  • Alignment from:
    • original search tool (FASTA, psiBLAST, etc.)
    • multiple alignment (set of search models, protein family, etc.)
    • hand-created
slide13

Molrep

Alexei Vagin, York

http://www.ysbl.york.ac.uk/~alexei/molrep.html

slide14

Molrep: overview of functionality

Performs complete MR in single step:

Expt. data (MTZ)

Positioned

search model

Molrep

Search model (PDB)

  • Individual steps for more difficult cases: CRF, TF, rigid-body
  • Multi-copy search: locked CRF, dyad search
  • Self RF
  • Phased TF, spherically-averaged phased TF
  • Improve search model
  • Other search models: electron density map, NMR models
  • Fit model in electron density map / EM map
slide15

MR for straightforward case via GUI:

title

mode

MTZ file

MTZ labels

search model

RUN IT!

slide16

Other parameters

DEFAULTS ARE GOOD

  • Low resolution cut-off
    • Molrep uses soft cut-off, Boff (BOFF, COMPL, RESMIN)
  • High resolution cut-off
    • Molrep uses soft cut-off, Badd (BADD, SIM)
  • |F|new = |F|input *exp(-Badd*s2)*(1-exp(-Boff*s2)
    • Defaults estimated
  • High resolution limit
    • Absolute cut-off (RESMAX)
    • Default estimated
  • Radius of Patterson sphere for CRF
    • Default is twice radius of gyration of search model, Keyword RAD, Infrequently Used Parameters in GUI
slide17

Cross Rotation Function

Euler angles (CCP4)

polar angles

R factor

List of top RF peaks

More details here

slide18

Translation Function

fractional

translation

R factor

Score

polar angles

List of solutions:

top TF for each RF solution

contrast of solution

slide19

Identification of solutions

  • SCORE = product Correlation Coefficient and maximal value of Packing Function
  • Packing Function integrated into TF search  removes solutions with overlapping molecules
  • CONTRAST = ratio of top score to mean score:
    • >2.5 - definitely solution<2.5 and > 1.8 - solution<1.8 and > 1.5 - maybe solution<1.5 and > 1.3 - maybe not solution, but program accepts it <1.3 - probably not solution
slide20

Finding more than one copy in the asu

By default, Molrep will estimate number of copies to find.

Override with NMON keyword

Program flow:

  • CRF
  • TF for first copy
  • Fix first copy
  • TF for second copy
  • Fix second copy
  • TF for third copy
  • .
  • .
  • .
slide21

Solving complexes

  • Choose first component (largest, highest similarity)
  • Solve for first component (probably need to specify NMON explicitly)
  • New Molrep job
    • Model in - second component
    • Fixed in - positioned first component
  • Repeat for all other components

Possibility to use spherically-averaged phased TF using phases

from first component

slide22

Phaser

Randy Read, Airlie McCoy, Cambridge

Phaser website:

http://www-structmed.cimr.cam.ac.uk/phaser/

slide23

Performs complete MR in single step:

Expt. data (MTZ)

Positioned

search model

Phaser

Search model (PDB)

Use “MODE MR_AUTO” or “automated search” in the GUI

  • anisotropy correction
  • fast rotation function
  • fast translation function
  • packing
  • refinement and phasing

loop over models

slide24

More functionality ...

  • All steps can be run separately
  • Search over spacegroups:
    • MTZ spacegroup and enantiomorph
    • All spacegroups in MTZ point-group
    • Selected spacegroups
  • Ensemble models (see later)
  • Brute RF and TF - slow and accurate
  • Normal mode analysis
    • Generates perturbed models
slide25

MR for straightforward case via GUI:

mode

MTZ file

search model

specify search

target details

RUN IT!

slide26

FRF

Euler angles (CCP4)

Top LLG and Z-scores for FRF

slide27

FTF

fractional translation

FRF solution number

Top LLG and Z-scores for FRF

slide28

Packing

Phaser does packing check after FTF

Clashes = C atoms closer than 3Å

Default number of clashes = 10 (beware, was 0 in older versions)

slide29

Solution files:

  • .sol file produced at end of job
  • Contains summary of all solutions
  • Each solution contains rotations and usually translations -
      • 3DIM vs 6DIM
  • One line per model located
  • .sol file can be read back into Phaser in later jobs

Z-scoreHave I solved it?

less than 5 no

5 - 6 unlikely

6 - 7 possibly

7 - 8 probably

more than 8 definitely

RFZ = RF Z-score

TFZ = TF Z-score

ensemble models
Ensemble models

Phaser refers to search models as “ensembles”

Often, ensemble contains single model, as in traditional MR

But Phaser can use an ensemble of > 1 models, which may work better than any single model

Models in an ensemble must be superposed prior to use in Phaser - use e.g. Superpose in CCP4

N.B. Phaser will complain if:

  • MW of models in ensemble are too different
  • RMS between models is too large

(In Molrep, construct ensemble as pseudo-NMR PDB file)

slide31

Finding more than one copy in the asu

  • Specify > 1 in Composition of the asymmetric unit
    • (keyword COMPOSITION ... NUMBER)
  • Specify > 1 in Number of copies to search for
    • (keyword SEARCH ... NUMBER)

Phaser will issue warnings if these numbers are wrong.

  • CRF
  • TF for first copy
  • Fix first copy (possibly multiple sets)
  • CRF for second opy
  • TF for second copy
  • Fix second copy (possibly multiple sets)
  • .
  • .
  • .
slide32

Complexes

  • As before, but:
  • Define > 1 type of component
    • Composition of the asymmetric unit
      • Define another component
  • Define > 1 ensemble
    • Define ensembles
      • Add ensemble
  • Specify all searches
    • Search details
      • Add another search

E.g. beta-blip example in Phaser tutorial:

http://www-structmed.cimr.cam.ac.uk/phaser/tutorial/Phaser_MR_tute.html

slide33

MrBUMP

Ronan Keegan, Martyn Winn, Daresbury Lab.

the aim of mrbump
The aim of MrBUMP
  • An automation framework for Molecular Replacement.
  • Particular emphasis on generating a variety of search models.
  • Can be used to generate models only.
  • Wraps Phaser and/or Molrep.
  • Also uses a variety of helper applications (e.g. Chainsaw) and bioinformatics tools (e.g. Fasta, Mafft)
  • Uses on-line databases (e.g. PDB, Scop)
  • In favourable cases, gives “one-button” solution
  • In unfavourable cases, will suggest likely search models for manual investigation (lead generation)
slide35

The Pipeline

`

Target MTZ

&

Sequence

Target

Details

`

Template

Search

`

Model

Preparation

Check scores and exit or select the next model

`

Molecular Replacement

& Refinement

search for homologous proteins
Search for homologous proteins

FASTA search of PDB

  • Sequence based search using sequence of target structure.
  • Can be run locally if user has fasta34 program installed or remotely using the OCA web-based service hosted by the EBI.

All of the resulting PDB id codes are added to a list

These structures are called

model templates

search for additional similar structures
Search for additional similar structures
  • Additional structure-based search (optional)
    • Top hit from the FASTA search is used as the template structure for a secondary structure based search.
    • Uses the SSM webservice provided by the EBI (a.k.a. MSDfold)
  • Any new structures found are added to the list.
  • Provides structural variation, not based on direct sequence similarity to target
  • Manual addition
    • Can add additional PDB id codes to the list, e.g. from FFAS or psiBLAST searches
    • Can add local PDB files
multiple alignment
Multiple Alignment
  • After the set of PDB ids are collected in the FASTA and SSM searches, their coordinate-based sequences are collected and put through a multiple alignment with the target sequence
  • Aims:
    • Score template structures in a consistent manner, in order to prioritise them for subsequent steps
    • Extract pairwise alignment between template and target for use in Chainsaw step. Multiple alignment should give a better set of alignments than the original pair-wise FASTA alignments
multiple alignment39
Multiple Alignment

target

model

templates

pairwise

alignment

Jalview 2.08.1 Barton group, Dundee

currently support ClustalW or MAFFT for multiple alignment

template model scoring
Template Model Scoring
  • Sequence identity:
    • Ungapped sequence identity i.e. sequence identity of aligned target residues
  • Alignment quality:
    • Dependent on the alignment length, the number of gaps created in the template alignment and the extent of each of these gaps.
    • The penalties given for gaps and the size of the gaps is biased so that alignments that preserve domains of the structure rather than spreading the aligned residues out score higher.

The top scoring models are then used for further processing

  • Alignment Scoring:
      • score = sequence identity X alignment quality
domains
Domains
  • Suitable templates for target domains may exist in isolation in PDB, or in combination with dissimilar domains
  • In case of relative domain motion, may want to solve domains separately
domains42
Domains
  • Domains search:
    • Top scoring templates from multiple alignment are tested to see if they contain any domains.
    • Uses the SCOP database. This only lists domains that appear more than once in the PDB.
    • The database is scanned to to see if domains exist for each of the PDBs in the list of templates
    • Domains are then extracted from the parent PDB structure file and added to the list of template models as additional search models for MR.
multimers
Multimers
  • Multimer search:
    • Search for quaternary structures that may be used as search models.
    • Better signal-to-noise ratio than monomer, if assembly is correct for the target.
    • Multimeric structures based on top templates are retrieved using the PQS service at the EBI, and added to the list of search models
    • PQS will soon be replaced by the use of the PISA service at the EBI (Eugene Krissinel)

1n5a SPLIT-ASU into 4 Oligomeric files of type TRIMERIC

1n5b SPLIT-ASU into 2 Oligomeric files of type DIMERIC

1n5c SYMMETRY-COMPLEX Oligomeric file of type DIMERIC

1n5d SYMMETRY-COMPLEX Oligomeric file of type DIMERIC

search model preparation
Search Model Preparation

Search models prepared in four ways:

  • PDBclip
    • original PDB with waters removed, hydrogens removed, most probable conformations for side chains selected and chain ID’s added if missing.
  • Molrep
    • Molrep contains a model preparation function which will align the template sequence with the target sequence and prune the non-conserved side chains accordingly.
  • Chainsaw
    • Can be given any alignment between the target and template sequences.
    • Non-conserved residues are pruned back to the gamma atom.
  • Polyalanine
    • Created by excluding all of the side chain atoms beyond the CB atom using the Pdbset program

Also create an ensemble model for Phaser based on top 5 models

slide45

Molecular Replacement and Refinement

  • The search models can be processed with Molrep or Phaser or both.
  • The resulting models from molecular replacement are passed to Refmac for restrained refinement.
  • The change in the Rfree value during refinement is used as rough estimate of how good the resulting model is.

final Rfree < 0.35 or

final Rfree < 0.5 and dropped by 20%

“success”

final Rfree < 0.48 or

final Rfree < 0.52 and dropped by 5%

“marginal”

“failure”

otherwise

  • MR scores and un-refined models available for later inspection.
slide46

MrBUMP on compute clusters

  • MrBUMP can take advantage of a compute cluster to farm out the Molecular Replacement jobs.
  • Currently Sun Grid Engine enabled clusters are supported but support will be added for LSF and condor and any other types of queuing system if there is enough demand.
  • All nodes terminate when one finds a solution
slide47

Pre-release version of MrBUMP

  • Pre-release made available in Jan 06
  • Simple installation
  • Currently runs on Linux and OSX.
  • Windows version almost ready.
  • Comes with CCP4 GUI .
  • Can also be run from the command line with keyword input
  • First citation in Obiero et al., Acta Cryst. (2006). F62, 757-760
  • Regular updates (currently version 0.3.2)

http://www.ccp4.ac.uk/MrBUMP

a few observations
A few observations ...
  • In difficult cases, success in MrBUMP may depend on particular template, chain and model preparation method
  • Nevertheless, may get several putative solutions
  • Ease of subsequent model re-building, model completion may depend on choice of solution
  • First solution or check everything?
  • Expectation that quick solution required - in fact, most users seem happy to let MrBUMP run for long time (hours, days)
  • Worth checking “failed” solutions!