Molecular Replacement - Portal IFSC · November 16, 2018 IFSC/CCP4 MX School, São Carlos 31 1....
Transcript of Molecular Replacement - Portal IFSC · November 16, 2018 IFSC/CCP4 MX School, São Carlos 31 1....
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MolecularReplacement
AndreyLebedevCCP4
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MRProblem
Knowncrystalstructure Newcrystalstructure
Given: • Crystal structure of a homologue • New X-ray data
Find: • The new crystal structure
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MRTechnique
Method: • 6×N - dimensional global optimisation – one 6-d search for each molecule in the AU >> split further to orientation + translation searches = 3 + 3 >> fast search step using FFT
Required: • Scoring
– the match between the data and an (incomplete) crystal model – ideally: the highest score = correct solution
Searchmodel
Knowncrystalstructure Newcrystalstructure
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RealandReciprocalspaces
• TermsmayreferrealspacebutactualcalculaKonsmaybeperformedinthereciprocalspace:– "Searchintheelectrondensity"– "PaOersonsearch"
• TheconceptsformulatedinrealspacearemoreintuiKve
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Func8onsinRealandReciprocalspaces
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StructurefactorsandElectrondensitymap
F = A+ iB
Structurefactors F(h,k,l)–AdiscretecomplexfuncKoninthereciprocalspaceAtgivenh,k,l–Complexnumber:–Canbeexpressedviastructureamplitudeandphase
F = F exp(iφ)
Electrondensitymap–periodic3-dfuncKoninrealspace
isdirectlyinterpretable–modelbuilding–real-spacefiXngoffragments
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Intensi8esandPa>ersonmap
Intensi8es I(h,k,l)–3-ddiscreterealfuncKoninthereciprocalspace
Pa>ersonmap:–3-dfuncKoninreal(*)space
–Nofeaturesresemblingaproteinmolecule–Modelbuilding,residuebyresidue,isimpossible
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DataandMR
MR: Two distinct cases dependent on availability of phases • Data = structure factors (include phases) – "Search in the electron density"
o Electron density maps are compared: calculated vs. observed o Model building is a more straightforward approach
» Useful in special cases • Data = observed intensities (no phases) – "Patterson search"
o Patterson maps are compared: calculated vs. observed o Direct model building is impossible in the absence of phases
» The most common case of MR As a rule, all computations are in the reciprocal space
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Selfandcrossvectors
Electrondensitymap
PaOersonmap
Onemolecule Twomolecules
r1r2
r1–r1r2–r2r1–r2r2–r1
Electrondensitymap=peaksfromallatomsPaOersonmap=peaksfromallinteratomicvectors•self-vectors:vectorsbetweenatomsbelongingtothesamemolecule•cross-vectors:vectorsbetweenatomsbelongingtodifferentmolecules
self-vectors
cross-vectorsContribuKonfromself-vectors–iscentredattheorigin–dominatesinavicinityoftheoriginNovember16,2018 IFSC/CCP4MXSchool,SãoCarlos 9
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Pa>ersonsearch
PaOersonmap:
• ContribuKonfromself-vectorsiscentredattheorigin
• Self-vectorsare,inaverage,shorterthancross-vectors– Peaksfromself-vectorsdominatesinavicinityoftheorigin– Peaksfromcross-vectordominatesawayfromtheorigin
• One6-dimensionalsearchsplitsinto– RotaKonFuncKon:3-dimensionalsearch(usingself-vectors)– TranslaKonFuncKon:3-dimensionalsearch(usingcross-vectors)
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Rota8onFunc8on
containsonly
• self-vectorscontains
• self-vectors(signalfromoneoftheorientaKonsinthecrystal)
• cross-vectors(noise)
RF(α,β,γ ) = Pobs (r)×Pselfcalc (α,β,γ,r)dr∫∫∫
3
Pobs (r)
Pselfcalc (α,β,γ,r)
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Rota8onFunc8on
Crystal Model
×
α,β,γ
Pselfcalc (α,β,γ,r)Pobs (r)
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RF(α,β,γ ) =r∫∫∫
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Transla8onFunc8on
contains• self-vectors(background)• cross-vectors
contains
• self-vectors(backgroundornoise)• cross-vectors(relevantvectors:signal,others:noise)
TF(t) = Pobs (r)×Pcrosscalc (t,r)dr∫∫∫
3
Pobs (r)
Pcrosscalc (t,r)
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Transla8onFunc8on
• TranslaKontdoesnotchange
thestructure
– canbecompensatedwithshidof
crystallographicorigin
• TFstepisnotneeded
t
tt
t
P1
t 1
43
2
P222
• Thecentreofmolecule1:– parametert
• Centresofmolecules2,3and4– fromsymmetryoperaKon
• MRprogrammatchesPcalc(t)toPobsto
findthebestmatchingt
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Fixedpar8almodel
AlmostthesameequaKonasforasinglemoleculesearch,
• AgainFFTtechniquecanbeused
• NoexcepKonforthespacegroupP1anymore!– translaKonofthesecondcopyrelaKvetothefirstonecannotbecompensatedbyashidofcrystallographicorigin
TF(t) = Ihobs × Fh
fixed +Fhcalc (t)
2
h∑
Fixedmodel
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Packingconsidera8ons
MoleculesinthecrystaldonotoverlapHowcanweusethisinformaKon?
» PaOersonmapdoesnotexplicitlyrevealmolecularpacking
RejectMRsoluKons
• Restrictdistancebetweencentresofmolecules
• CountcloseinteratomiccontactsModifyTF
• DivideTFbyOverlapFuncKon• MulKplyTFbyPackingfuncKon
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κρ
jρ
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SpecialisedMRtechniques
• Searchinthedensity(phasedMR)• HandlingTranslaKonalNon-Crystallographicsymmetry– Non-originpeaksinthePaOersonmapindicatethepresenceofTNCS– Requiresspecialhandlingofmodelerrors(Phaser)– MoleculesrelatedbyTNCScanbefoundinonegoastheyhavenearlythesameorientaKon
• SelfRotaKonFuncKon
• LockedRFandTF– Usingpointsymmetryofoligomers
• ExhausKvesearches
• StochasKcsearches
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Molrep
AlexeyVagin
YSBLUniversityofYork
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Molrep
molrep-fdata.mtz-mmodel.pdb-mxfixed.pdb-starget.seq
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Log-file
!"#
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CCP4I2
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Defaultprotocol
• modelcorrecKonbasedonsequenceandstructureinformaKon
• definesthenumberofmoleculesperAU
• anisotropiccorrecKonofthedata• weighKngthedataaccordingtomodelcompletenessandsimilarity
• checkforpseudotranslaKonanduseitifpresent• 30+peaksinCrossRFforuseinTF(accountsforclosepeaks)• appliedpackingfuncKon• makeuseofparKalstructure(fixedmodel)
molrep-fdata.mtz-mmodel.pdb-mxfixed.pdb-starget.seq
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Modelmodifica8oninMOLREP
• PerformsmodelcorrecKon:– IdenKfiessecondarystructureinthemodel
– Alignstargetandmodelsequences» nodeleKonsorinserKonsinα-helixesorβ-strands
– Retainsalignedresidues
– Retains"aligned"atomsinalignedresidues
• AddsB-factortoresiduesexposedtosolvent
• UsessequenceidenKtytodown-weighthighresoluKondata
molrep-mmodel.pdb-starget.seq
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Molrepprotocolfortwocopiesofamodel
RF=∑hklw*IO*IC(αβγ)TF=∑hklw*IO*IC(xyz)Rescoring:CorrelaKonCoefficient*PF
X-raydata allsteps
RF TF*PF Rescoring Par<alstructureSearchmodel
TF*PF Rescoring Possiblesolu<on
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Molrepprotocolfortwocopiesofamodel
RF=∑hklw*IO*IC(αβγ)TF=∑hklw*IO*IC(xyz)Rescoring:CorrelaKonCoefficient*PF
X-raydata allsteps
RF TF*PF Rescoring Par<alstructureSearchmodel
TF*PF Rescoring Possiblesolu<on
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MolrepvsPhaser
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SinglesoluKonistakenforward >> MoresophisKcatedsearchstrategyTF/sig(TF) = TFZCC >> Log-likelihoodgain(LLG)LSrigidbodyrefinement >> LL-basedrigidbodyrefinementandmoreImprovedscoring-iscrucialforusingdistanthomologuessuccessfullyinMRmethod-allowscorrectplacementofsmallfragmentmodels(evensingleatom)
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Molrepprotocolfortwocopiesofamodel
RF=∑hklw*IO*IC(αβγ)TF=∑hklw*IO*IC(xyz)Rescoring:CorrelaKonCoefficient*PF
X-raydata allsteps
RF TF*PF Rescoring Par<alstructureSearchmodel
TF*PF Rescoring Possiblesolu<on
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Searchintheelectrondensitymap
Map coefficients Refmac
Partial structure
Molrep
Search model
Extended model
Searchinthemap• Calculate2-1or1-1mapsaderrestrainedrefinementofparKalstructure
• FlaOenthemapcorrespondingtotheknownsubstructure
• Calculatestructureamplitudesfromthemodifiedmap
• UsethesemodifiedamplitudesinRotaKonFuncKon
• Andfinally–PhasedTF
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Molrep:SAPTF
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SphericallyAveragedPhasedTranslaKonFuncKon(FFTbasedalgorithm)
€
ρ Map(s,r)
€
ρ Model(r)
€
SAPTF(s) = ρ Map(s,r)∫ ρ Model(r) r2 dr
€
Map
€
Model
€
s
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Molrep:SearchinthemapwithSAPTF
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1.FindapproximateposiKon:SphericallyAveragedPhasedTranslaKonFuncKon
2.FindorientaKon:LocalPhasedRotaKonFuncKon– LocalsearchoftheorientaKoninthedensity
3.VerifyandadjustposiKon:PhasedTranslaKonFuncKon
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Molrep:SearchinthemapwithSAPTF
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1.FindapproximateposiKon:SphericallyAveragedPhasedTranslaKonFuncKon
2.FindorientaKon:LocalRotaKonFuncKon– StructureamplitudesfromthedensitywithintheSAPTFsphere
3.VerifyandadjustposiKon:PhasedTranslaKonFuncKon
• LocalRFislesssensiKvethanPhasedRFtoinaccuracyofthemodelposiKon
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Example
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• Asymmetricunit twocopies
• ResoluKon 2.8Å
Phaneet.al(2011)Nature,474,50-53
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Ushercomplexstructuresolu8on
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3.FiXngintotheelectrondensity– FimD-Plug– FimD-NTD– FimD-CTD-2
4.Manualbuilding– FimD-CTD-1
1.ConvenKonalMR– FimC-N+FimC-C– FimH-L+FimH-P– FimD-Pore
2.Jellybodyrefinement(Refmac)– FimD-Pore
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PerformanceoffiOngmethods
TryingseveralmethodsisagoodpracKce(alsobecauseofcross-validaKon)
searchmodel
sequenceidenKty
"Masked"RFPTF
prfn
SAPTFPRFPTFprfy
SAPTFLocalRFPTFprfs
FimD-Plug 3fip_A 38.5% 2(2) –(–) 1(2)
FimD-NTD 1ze3_D 100% 2(2) 1(2) 2(2)
FimD-CTD-2 3l48_A 33.3% –(–) 2(2) –(–)
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FiOngintoEMmaps
SPP1portalprotein
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Self Rotation FunctionMOLREP
Rad : 33.00 Resmax : 2.90RF(theta,phi,chi)_max : 0.2814E+05 rms : 1093.
Chi = 180.0
X
Y
RFmax = 0.2813E+05
Chi = 90.0
X
Y
RFmax = 2176.
Chi = 120.0
X
Y
RFmax = 7563.
Chi = 60.0
X
Y
RFmax = 3202.
X
Y
SelfRota8onFunc8on(SRF)
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PreliminaryanalysisofX-raydata• Oligomericstateoftheproteinincrystal
• SelecKonofoligomericsearchmodel
Limiteduse• NoclearinterpretaKonorevenarKfactpeaksinhighsymmetrypointgroups(e.g.622)
• differentoligomerswiththesamesymmetry
ExampleofSRF
• SpacegroupP21• One222-tetramerintheAU
Chi=180°
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LockedRota8onFunc8on
• UsesSRFtoderiveNCSoperaKons• AveragesRFoverNCSoperaKons• InfavorablecasesImprovessignaltonoiseraKoinRF
AutomaKcmode:ThereisanopKonofselecKngspecificSRFpeaksAvailablefromCCP4I
molrep-fs100.mtz-mmonomer.pdb-ss100.seq–i<<+locky+
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One-dimensionalexhaus8vesearch(exo8ccase)
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SRFhelpsrestrictdimensionalityinanexhausKvesearch• OrientaKonofthetrimerisknownfromtheanalysisofSRF
• Unknownparameter:rotaKonabout3-foldaxis
• One-parametricexhausKvesearchusingTFasscorefuncKon
at χ values of 180o, 120o (Fig. 2.2c) and 90o, which correspond to the 432 symmetry. This
means that the NCS axes are in special orientations with respect to the crystallographic two-fold
axis (two of the four NCS triads are orthogonal to the crystallographic axis). These data may
suggest that the asymmetric unit of the crystal contains either four dodecamers with 23 point-
group symmetry (the high apparent symmetry of SRF in this case is the consequence of special
orientations of the NCS axes) or four 24-mers with 432 symmetry. However, in the second case
one of the six diagonal dyads of a 24-mer would be parallel to a crystallographic two-fold screw
axis and such an arrangement would generate strong peaks in the native Patterson synthesis
at v = 0.5, which were not observed. Moreover, four 24-mers would result in an impossible
specific volume and solvent content and therefore this possibility was excluded.
χSRF = 120o χSRF = 180o
χ
xx
yy
a a
b b
c c
(a)
(b)
(c)
(d) (e)
χ (o)
CC
0 40 80 1200.02
0.06
0.10
Figure 2.2. Structure solution of anti-TRAP from B. licheniformis. (a) Ribbon diagram of the dodecamer
of anti-TRAP from B. subtilis. (b) Native Patterson synthesis, in which three strong non-equivalent non-
origin peaks are present. (c) 120o and 180o sections of the SRF, indicating the orientations of two-fold
and threefold NCS axes. The trimeric search model (centre) was oriented so that its threefold molecular
axis was aligned with the NCS threefold axis (red lines). TF searches were performed for a series of
orientations related to that shown by a rotation around the molecular threefold axis by the variable angle
χ. (d) The highest CC in the TF search is plotted as a function of χ. (e) The MR solution with four
dodecamers in the asymmetric unit, which are related by the translational NCS. This figure was prepared
using BOBSCRIPT,MOLREP, CCP4mg (Potterton et al., 2004) and R.
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MRsubstructuresolu8on(exo8ccase)
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• SelectisomorphousderivaKve– bycomparingnaKveSRFandSRFfromD-iso
• Hg-substructureisa13-atomring(fromnaKveSRFanalysis)– OrientaKonoftheringisknownfromtheanalysisofSRF– Unknownparameters:radiusofthering,rotaKonabout13-foldaxis
• Two-parametricexhausKvesearch
A series of search models was generated. Each model contained 13 Hg atoms located around
a circle with a step of 27.7o (Fig. 2.7b). An additional carbon atom was placed on the axis of
the circle but outside of its plane for the MR program to be not confused with an ill-conditioned
inertia matrix, which would occur for a flat model. The radius of the circle varied in the series of
the search models from 10 to 90 A with a step of 1 A. Every model was submitted to a rotation
Fobs Diso Diso(native) (Hg-1 – native) (Hg-2 – native)
χ=180o
x
y
x
y
x
y
χ=27
.7o
x
y
x
y
x
y
(a)
R
(b) R0 30 60 90
RF
0
20
40
60Hg-1Hg-2
(c)
Figure 2.7. The Hg-substructure solution of the portal-protein derivative crystals. (a) The SRF computed
for the native data (left) and for the isomorphous differences between the native data and the derivative
data Hg-1 (middle) and Hg-2 (right). (b) The search model for exhaustive search composed of 13 mercury
atoms located on the circle of variable radius R. (c) The plots of the maximal value of the CRF against
R computed for the isomorphous differences between the native data and the derivative data Hg-1 (thick
line) and Hg-2 (thin line).
85
A series of search models was generated. Each model contained 13 Hg atoms located around
a circle with a step of 27.7o (Fig. 2.7b). An additional carbon atom was placed on the axis of
the circle but outside of its plane for the MR program to be not confused with an ill-conditioned
inertia matrix, which would occur for a flat model. The radius of the circle varied in the series of
the search models from 10 to 90 A with a step of 1 A. Every model was submitted to a rotation
Fobs Diso Diso(native) (Hg-1 – native) (Hg-2 – native)
χ=180o
x
y
x
y
x
y
χ=27
.7o
x
y
x
y
x
y
(a)
R
(b) R0 30 60 90
RF
0
20
40
60Hg-1Hg-2
(c)
Figure 2.7. The Hg-substructure solution of the portal-protein derivative crystals. (a) The SRF computed
for the native data (left) and for the isomorphous differences between the native data and the derivative
data Hg-1 (middle) and Hg-2 (right). (b) The search model for exhaustive search composed of 13 mercury
atoms located on the circle of variable radius R. (c) The plots of the maximal value of the CRF against
R computed for the isomorphous differences between the native data and the derivative data Hg-1 (thick
line) and Hg-2 (thin line).
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Whichdirec8ondoesMRgo?
Automation: ✖ Collection of tricks ✔ Improvement of "standard" methods ✔ Better scoring system ✔✔ Models
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