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FOLLOWING THE EVOLUTION
OF NEW PROTEIN FOLDS VIA
PROTODOMAINS
Spencer Bliven
January 28, 2013
Advancement to Candidacy Exam
CATH:
                                      http://www.cathdb.info/browse/bro
                                      wse_hierarchy


http://scop.mrc-lmb.cam.ac.uk/scop/
CONTINUITY




                                                           Sadreyev, R. I., Kim, B.-H., &Grishin, N. V.
                                                           (2009). Discrete-continuous duality of protein
                                                           structure space. Current Opinion in Structural
                                                           Biology, 19(3), 321–328.
 Grishin. J Struct Biol (2001) vol. 134 (2-3) pp. 167-85
MODELS OF FOLD SPACE
                                                β
   Orengo, Flores, Taylor, Thorn
    ton. Protein Eng (1993) vol. 6    α             α/β
    (5) pp. 485-500
   Holm and Sander. J Mol Biol
    (1993) vol. 233 (1) pp. 123-38        α+β

   Holm and Sander. Science
    (1996) vol. 273 (5275) pp. 595-
    603
   Shindyalov and Bourne.
    Proteins (2000) vol. 38 (3) pp.
    247-60
   Hou, Sims, Zhang, Kim.
    PNAS (2003) vol. 100 (5) pp.
    2386-90
   Taylor. Curr Opin Struct Biol
    (2007) vol. 17 (3) pp. 354-61
   Sadreyev et al. Curr Opin
    Struct Biol (2009) vol. 19 (3)
    pp. 321-8
BIG QUESTIONS
   Is fold space discrete or continuous?

   Where do new folds come from?

   What insights can we gain by studying fold
    space?
DEFINITIONS
BIOLOGICAL ASSEMBLIES



                                        Sesbania mosaic
                                        virus [1VAK]



Asymmetric Unit   Biological Assembly



                                        Hemoglobin
                                        [1hv4]
DOMAINS
 Compact Geometry
 Independently Folding


Non-contiguous domains    Multi-chain domains




Squalene-HopeneCyclase    Kunitz-type trypsin
[1SQC]                    inhibitor [1r8o]
FOLD
   Group of domains with
     Same major secondary structural elements
     Same mutual orientation
     Same connectivity
PROTODOMAINS
 A protodomain is a minimal, independently
  evolving protein unit with a conserved
  structure.
 Defined through evolution, but usually observed
  as structural motif
 Coined by Philippe Youkharibache
PROTODOMAINS
     A protodomain is a minimal, independently
      evolving protein unit with a conserved structure.
                                                GTP binding
Glyoxalase I from                               regulator from
Clostridium                                     Thermotoga
acetobutylicum[3                                maritima [1VR8]
HDP]




Glyoxalase I in E.                              Pseudomonas
coli [1F9Z]                                     1,2-dihydroxy-
                                                naphthalene
                                                dioxygenase
                                                [2EHZ]
PROPOSAL
SPECIFIC AIMS
1.   Improve algorithms to identify conserved
     protodomains globally across the PDB.
2.   Identify structurally similar and potentially
     homologous protodomains across fold space.
3.   Integrate protodomain arrangements with
     domain and quaternary structure information
     to create a parsimonious model of fold evolution
     across the tree of life.
4.   Apply protodomain principles to understanding
     the evolution of specific protein families.
AIM 1
   Improve algorithms to identify conserved
    protodomains globally across the PDB.
Preliminary Research:
a) Circular Permutation with CE-CP
b) Symmetry with CE-Symm

Proposed Research:
a) Improve CE-Symm algorithm
b) Create algorithms for other types of
   protodomain rearrangements
c) Run algorithms globally across the PDB
d) Create non-redundant catalogue of
   protodomains
CIRCULAR PERMUTATION
   Spencer Bliven and Andreas Prlić. Circular
    Permutation in Proteins. PLoSComputBiol (2012)
    8(3): e1002445.
CIRCULAR PERMUTATION EVOLUTION

  Fission & Fusion   Permutation by Duplication
CE-CP
     A Prlić, S Bliven, P Rose, J Jacobsen, PV Troshin, M Chapman, J
      Gao, CH Koh, S Foisy, R Holland, G Rimša, ML Heuer, H.
      Brandstätter–Müller, PE Bourne, and S Willis. BioJava: an open-
      source framework for bioinformatics in 2012. Bioinformatics (2012).
     http://www.rcsb.org/pdb/workbench/workbench.do



                                                        N
                                      C




                              C
                              N
                            Molybdate-binding protein        Regulator of G protein
Concanavalin A [1NLS.A]
                            [1ATG.A] vs. OpuAC              signaling 10 [2IHB.A] vs.
vs. Pea Lectin [1RIN.A+B]
                            [2B4L.A]                           vaccinia H1-related
                                                             phosphatase[1VHR.A]
DETECTING CIRCULAR PERMUTATIONS
SYMMETRY




                            Beta Propeller




           Goodsell, D. S., & Olson, A. J. (2000).
           Structural symmetry and protein function.
           Annual Review of Biophysics and Biomolecular
           Structure, 29, 105–153.
SYMMETRY
   Functionally important                    FGF-1
                                              3JUT
     Protein evolution (e.g. beta-trefoil)
     DNA binding
     Allosteric regulation
     Cooperativity                           TATA Binding
                                              Protein
                                              1TGH
   Widespread (19% of proteins)



                                              Hemoglobin
                                              4HHB
SYMMETRY EVOLUTION
 Start with perfectly symmetric homomer
 Duplications & Fusions

 Symmetry lost to drift
INTERMEDIATES TO BETA-TREFOIL



                                          FGF-1 [3JUT]




Lee, J., &Blaber, M. (2011). Experimental support for the evolution of symmetric protein architecture
from a simple peptide motif. PNAS, 108(1), 126–130.
CE-SYMM WISHLIST
 Find alignments for all valid rotations
 Refine alignments based on isomorphism
  constraints
 Utilize crystallographic symmetry more
  efficiently for biological assemblies     Triose Phosphate
                                            Isomerase [8TIM]
 Detect multiple axes of symmetry




    5-enol-pyruvyl shikimate-3-phosphate
    (EPSP) synthase [1G6S]
CE-SYMM
   Andreas Prlić, Spencer E. Bliven, Peter W.
    Rose, Philippe Youkharibache, Douglas Myers-
    Turnbull, Philip E. Bourne. On Symmetry and
    Pseudo-Symmetry in Proteins. In preparation.




    FGF-1 [3JUT]                    AmtB [3C1G]
CE-SYMM




FGF-1
CE-SYMM




FGF-1
ADDITIONAL METHODS FOR DETECTING
PROTODOMAINS
   Changes in Quaternary Structure




 Protodomain searches (Douglas Myers-Turnbull)
 Domain Swapping
AIM 2
  Identify structurally similar and potentially
   homologous protodomains across fold space.
Preliminary Research
a) All-vs-all comparison of chains & domains

b) Clustering & network analysis

Proposed Research
a) Run all-vs-all comparison of protodomains

b) Build protodomain similarity network

c) Correlate network with existing properties:
   ligand binding, symmetry order, enzymatic
   activity, and distribution across organisms, etc
ALL-VS-ALL STRUCTURAL ALIGNMENT
   Andreas Prlić, Spencer Bliven, Peter W
    Rose, Wolfgang F. Bluhm, Chris Bizon, Adam
    Godzik, Philip E. Bourne. Precalculated Protein
    Structure Alignments at the RCSB PDB website.
    Bioinformatics (2010) vol. 26 (23) pp. 2983-2985
ALL-VS-ALL STRUCTURAL ALIGNMENT
 Use sequence clustering to get representative
  chains with <40% sequence identity (currently
  23410)
 Split into domains by SCOP or PDP

 All chains and domains compared using FATCAT

 Use Open Science Grid (OSG)

 Client/Server architecture for aggregating results

                        …



               Scores
          …
NETWORK FROM TRANSPORTER
CLASSIFICATION DATABASE (TCDB)




              Primary Active Transporters
              Channels/Pores
              Transmembrane Electron Carriers
              Group Translocators
              …
BETA PROPELLERS




                  Symmetry
                     C4
                     C5
                     C6
                     C7
CROSS-CLASS EXAMPLE
   3GP6.A
     PagP, modifies lipid A
     f.4.1 (transmembrane
      beta-barrel)




   1KT6.A
     Retinol-binding
      protein
     b.60.1 (Lipocalins)
AIM 3
  Integrate protodomain arrangements with domain
   and quaternary structure information to create a
   parsimonious model of fold evolution across the tree
   of life.
Preliminary Research
a) Classification of biological assemblies by quaternary
   symmetry & chain stoichiometry
b) Model for evolution via protodomains
Proposed Research
a) Determine the protodomain content of each
   biological assembly
b) Identify BAs with conserved protodomain
   architecture but different chain architecture, or vice
   versa
c) Integrate data with model of protodomain evolution
QUATERNARY STRUCTURE
 Find symmetry & pseudosymmetry within
  biological assemblies
 Functions at chain level

 Can use various thresholds to determine
  stoichiometry (95% sequence, CE alignment, etc)




Rhinovirus 2 [3DPR]   GTP Cyclohydrolase I   Hemoglobin [4HHB]
 I (60,60,60,60,60)     [1A8R] D5 (10)           C2 (2,2)
EVOLUTIONARY MODEL
1.   Local Mutation
2.   Protodomain fusion
3.   Protodomain fission
4.   Loss of Interface
5.   Gain of Interface
6.   New Protodomains
CONNECTION TO FOLD SPACE
 Mostly local mutations = continuous regions
 Protodomain creation & rearrangement =
  discrete regions
 Identifying evolutionary events allows
  quantitative comparison of the frequencies of
  each mechanism
 Biologically rather than geometrically motivated
AIM 4
   Apply protodomain principles to understanding
    the evolution of specific protein families.

   Qualities
       Have good structural coverage
       Contain multiple members with symmetry at either
        domain or quaternary structure level.
       Contain circularly permuted members
       Span a diverse set of folds
   Ion Channels
   Beta Propellers

                                     AmtB [3C1G]
SODIUM/ASPARTATESYMPORTER FROM
PYROCOCCUSHORIKOSHII(GLTPH)




                           cytoplasm


       Top                             Side


                                                    [2NXW]



Forrest, L. R., Krämer, R., & Ziegler, C. (2011). The structural basis of
secondary active transport mechanisms. Biochimica et
BiophysicaActa, 1807(2), 167–188.
CONCLUSIONS
 Biological Assemblies are the functional unit of
  structure
 Protodomains can rearrange without modifying
  the biological assembly
 Separating changes in biological assembly from
  genetic changes can provide evolutionary
  perspective on fold space
     Local Changes = Continuous Evolution
     Protodomain rearrangements = Discrete Transitions
TIMELINE
PUBLICATIONS
   A Prlić, S Bliven, PW Rose, WF Bluhm, C Bizon, A Godzik, PE
    Bourne. Precalculated Protein Structure Alignments at the RCSB
    PDB website. Bioinformatics (2010) vol. 26 (23) pp. 2983-2985
   Spencer Bliven and Andreas Prlić. Circular Permutation in
    Proteins. PLoSComputBiol (2012) 8(3): e1002445.
   A Prlić, S Bliven, P Rose, J Jacobsen, PV Troshin, M Chapman, J
    Gao, CH Koh, S Foisy, R Holland, G Rimša, ML Heuer, H
    Brandstätter–Müller, PE Bourne, and S Willis. BioJava: an open-
    source framework for bioinformatics in 2012. Bioinformatics
    (2012).
Intended:
   CE-Symm method
   Evolutionary model & examples of protodomain evolution
   Structural similarity network analysis
   Use of model for specific protein family
ACKNOWLEDGMENTS
Committee                Collaborators
Philip Bourne            Philippe Youkharibache
Milton H. Saier          Jean-Pierre Changeux
Russell F. Doolittle     BiojavaContributors
Michael K. Gilson
Adam Godzik
                         The lovely Christine
Bourne Lab/PDB             Bliven
Andreas Prlić
Peter Rose
Douglas Myers-Turnbull
Lab & PDB members
This work is licensed under a Creative Commons Attribution-ShareAlike 3.0
                             Unported License.

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Following the Evolution of New Protein Folds via Protodomains

  • 1. FOLLOWING THE EVOLUTION OF NEW PROTEIN FOLDS VIA PROTODOMAINS Spencer Bliven January 28, 2013 Advancement to Candidacy Exam
  • 2.
  • 3. CATH: http://www.cathdb.info/browse/bro wse_hierarchy http://scop.mrc-lmb.cam.ac.uk/scop/
  • 4. CONTINUITY Sadreyev, R. I., Kim, B.-H., &Grishin, N. V. (2009). Discrete-continuous duality of protein structure space. Current Opinion in Structural Biology, 19(3), 321–328. Grishin. J Struct Biol (2001) vol. 134 (2-3) pp. 167-85
  • 5. MODELS OF FOLD SPACE β  Orengo, Flores, Taylor, Thorn ton. Protein Eng (1993) vol. 6 α α/β (5) pp. 485-500  Holm and Sander. J Mol Biol (1993) vol. 233 (1) pp. 123-38 α+β  Holm and Sander. Science (1996) vol. 273 (5275) pp. 595- 603  Shindyalov and Bourne. Proteins (2000) vol. 38 (3) pp. 247-60  Hou, Sims, Zhang, Kim. PNAS (2003) vol. 100 (5) pp. 2386-90  Taylor. Curr Opin Struct Biol (2007) vol. 17 (3) pp. 354-61  Sadreyev et al. Curr Opin Struct Biol (2009) vol. 19 (3) pp. 321-8
  • 6. BIG QUESTIONS  Is fold space discrete or continuous?  Where do new folds come from?  What insights can we gain by studying fold space?
  • 8. BIOLOGICAL ASSEMBLIES Sesbania mosaic virus [1VAK] Asymmetric Unit Biological Assembly Hemoglobin [1hv4]
  • 9. DOMAINS  Compact Geometry  Independently Folding Non-contiguous domains Multi-chain domains Squalene-HopeneCyclase Kunitz-type trypsin [1SQC] inhibitor [1r8o]
  • 10. FOLD  Group of domains with  Same major secondary structural elements  Same mutual orientation  Same connectivity
  • 11. PROTODOMAINS  A protodomain is a minimal, independently evolving protein unit with a conserved structure.  Defined through evolution, but usually observed as structural motif  Coined by Philippe Youkharibache
  • 12. PROTODOMAINS  A protodomain is a minimal, independently evolving protein unit with a conserved structure. GTP binding Glyoxalase I from regulator from Clostridium Thermotoga acetobutylicum[3 maritima [1VR8] HDP] Glyoxalase I in E. Pseudomonas coli [1F9Z] 1,2-dihydroxy- naphthalene dioxygenase [2EHZ]
  • 14. SPECIFIC AIMS 1. Improve algorithms to identify conserved protodomains globally across the PDB. 2. Identify structurally similar and potentially homologous protodomains across fold space. 3. Integrate protodomain arrangements with domain and quaternary structure information to create a parsimonious model of fold evolution across the tree of life. 4. Apply protodomain principles to understanding the evolution of specific protein families.
  • 15. AIM 1  Improve algorithms to identify conserved protodomains globally across the PDB. Preliminary Research: a) Circular Permutation with CE-CP b) Symmetry with CE-Symm Proposed Research: a) Improve CE-Symm algorithm b) Create algorithms for other types of protodomain rearrangements c) Run algorithms globally across the PDB d) Create non-redundant catalogue of protodomains
  • 16. CIRCULAR PERMUTATION  Spencer Bliven and Andreas Prlić. Circular Permutation in Proteins. PLoSComputBiol (2012) 8(3): e1002445.
  • 17. CIRCULAR PERMUTATION EVOLUTION Fission & Fusion Permutation by Duplication
  • 18. CE-CP  A Prlić, S Bliven, P Rose, J Jacobsen, PV Troshin, M Chapman, J Gao, CH Koh, S Foisy, R Holland, G Rimša, ML Heuer, H. Brandstätter–Müller, PE Bourne, and S Willis. BioJava: an open- source framework for bioinformatics in 2012. Bioinformatics (2012).  http://www.rcsb.org/pdb/workbench/workbench.do N C C N Molybdate-binding protein Regulator of G protein Concanavalin A [1NLS.A] [1ATG.A] vs. OpuAC signaling 10 [2IHB.A] vs. vs. Pea Lectin [1RIN.A+B] [2B4L.A] vaccinia H1-related phosphatase[1VHR.A]
  • 20. SYMMETRY Beta Propeller Goodsell, D. S., & Olson, A. J. (2000). Structural symmetry and protein function. Annual Review of Biophysics and Biomolecular Structure, 29, 105–153.
  • 21. SYMMETRY  Functionally important FGF-1 3JUT  Protein evolution (e.g. beta-trefoil)  DNA binding  Allosteric regulation  Cooperativity TATA Binding Protein 1TGH  Widespread (19% of proteins) Hemoglobin 4HHB
  • 22. SYMMETRY EVOLUTION  Start with perfectly symmetric homomer  Duplications & Fusions  Symmetry lost to drift
  • 23. INTERMEDIATES TO BETA-TREFOIL FGF-1 [3JUT] Lee, J., &Blaber, M. (2011). Experimental support for the evolution of symmetric protein architecture from a simple peptide motif. PNAS, 108(1), 126–130.
  • 24. CE-SYMM WISHLIST  Find alignments for all valid rotations  Refine alignments based on isomorphism constraints  Utilize crystallographic symmetry more efficiently for biological assemblies Triose Phosphate Isomerase [8TIM]  Detect multiple axes of symmetry 5-enol-pyruvyl shikimate-3-phosphate (EPSP) synthase [1G6S]
  • 25. CE-SYMM  Andreas Prlić, Spencer E. Bliven, Peter W. Rose, Philippe Youkharibache, Douglas Myers- Turnbull, Philip E. Bourne. On Symmetry and Pseudo-Symmetry in Proteins. In preparation. FGF-1 [3JUT] AmtB [3C1G]
  • 28. ADDITIONAL METHODS FOR DETECTING PROTODOMAINS  Changes in Quaternary Structure  Protodomain searches (Douglas Myers-Turnbull)  Domain Swapping
  • 29. AIM 2  Identify structurally similar and potentially homologous protodomains across fold space. Preliminary Research a) All-vs-all comparison of chains & domains b) Clustering & network analysis Proposed Research a) Run all-vs-all comparison of protodomains b) Build protodomain similarity network c) Correlate network with existing properties: ligand binding, symmetry order, enzymatic activity, and distribution across organisms, etc
  • 30. ALL-VS-ALL STRUCTURAL ALIGNMENT  Andreas Prlić, Spencer Bliven, Peter W Rose, Wolfgang F. Bluhm, Chris Bizon, Adam Godzik, Philip E. Bourne. Precalculated Protein Structure Alignments at the RCSB PDB website. Bioinformatics (2010) vol. 26 (23) pp. 2983-2985
  • 31. ALL-VS-ALL STRUCTURAL ALIGNMENT  Use sequence clustering to get representative chains with <40% sequence identity (currently 23410)  Split into domains by SCOP or PDP  All chains and domains compared using FATCAT  Use Open Science Grid (OSG)  Client/Server architecture for aggregating results … Scores …
  • 32. NETWORK FROM TRANSPORTER CLASSIFICATION DATABASE (TCDB) Primary Active Transporters Channels/Pores Transmembrane Electron Carriers Group Translocators …
  • 33. BETA PROPELLERS Symmetry C4 C5 C6 C7
  • 34. CROSS-CLASS EXAMPLE  3GP6.A  PagP, modifies lipid A  f.4.1 (transmembrane beta-barrel)  1KT6.A  Retinol-binding protein  b.60.1 (Lipocalins)
  • 35. AIM 3  Integrate protodomain arrangements with domain and quaternary structure information to create a parsimonious model of fold evolution across the tree of life. Preliminary Research a) Classification of biological assemblies by quaternary symmetry & chain stoichiometry b) Model for evolution via protodomains Proposed Research a) Determine the protodomain content of each biological assembly b) Identify BAs with conserved protodomain architecture but different chain architecture, or vice versa c) Integrate data with model of protodomain evolution
  • 36. QUATERNARY STRUCTURE  Find symmetry & pseudosymmetry within biological assemblies  Functions at chain level  Can use various thresholds to determine stoichiometry (95% sequence, CE alignment, etc) Rhinovirus 2 [3DPR] GTP Cyclohydrolase I Hemoglobin [4HHB] I (60,60,60,60,60) [1A8R] D5 (10) C2 (2,2)
  • 37. EVOLUTIONARY MODEL 1. Local Mutation 2. Protodomain fusion 3. Protodomain fission 4. Loss of Interface 5. Gain of Interface 6. New Protodomains
  • 38. CONNECTION TO FOLD SPACE  Mostly local mutations = continuous regions  Protodomain creation & rearrangement = discrete regions  Identifying evolutionary events allows quantitative comparison of the frequencies of each mechanism  Biologically rather than geometrically motivated
  • 39. AIM 4  Apply protodomain principles to understanding the evolution of specific protein families.  Qualities  Have good structural coverage  Contain multiple members with symmetry at either domain or quaternary structure level.  Contain circularly permuted members  Span a diverse set of folds  Ion Channels  Beta Propellers AmtB [3C1G]
  • 40. SODIUM/ASPARTATESYMPORTER FROM PYROCOCCUSHORIKOSHII(GLTPH) cytoplasm Top Side [2NXW] Forrest, L. R., Krämer, R., & Ziegler, C. (2011). The structural basis of secondary active transport mechanisms. Biochimica et BiophysicaActa, 1807(2), 167–188.
  • 41. CONCLUSIONS  Biological Assemblies are the functional unit of structure  Protodomains can rearrange without modifying the biological assembly  Separating changes in biological assembly from genetic changes can provide evolutionary perspective on fold space  Local Changes = Continuous Evolution  Protodomain rearrangements = Discrete Transitions
  • 43. PUBLICATIONS  A Prlić, S Bliven, PW Rose, WF Bluhm, C Bizon, A Godzik, PE Bourne. Precalculated Protein Structure Alignments at the RCSB PDB website. Bioinformatics (2010) vol. 26 (23) pp. 2983-2985  Spencer Bliven and Andreas Prlić. Circular Permutation in Proteins. PLoSComputBiol (2012) 8(3): e1002445.  A Prlić, S Bliven, P Rose, J Jacobsen, PV Troshin, M Chapman, J Gao, CH Koh, S Foisy, R Holland, G Rimša, ML Heuer, H Brandstätter–Müller, PE Bourne, and S Willis. BioJava: an open- source framework for bioinformatics in 2012. Bioinformatics (2012). Intended:  CE-Symm method  Evolutionary model & examples of protodomain evolution  Structural similarity network analysis  Use of model for specific protein family
  • 44. ACKNOWLEDGMENTS Committee Collaborators Philip Bourne Philippe Youkharibache Milton H. Saier Jean-Pierre Changeux Russell F. Doolittle BiojavaContributors Michael K. Gilson Adam Godzik The lovely Christine Bourne Lab/PDB Bliven Andreas Prlić Peter Rose Douglas Myers-Turnbull Lab & PDB members
  • 45. This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.

Notas do Editor

  1. Implications not within scope (eg sequence comparisons)Define motifsAcknowledge Philippe’s work
  2. Orengo, C A, Flores, T P, Taylor, W R, Thornton, J M. Identification and classification of protein fold families. Protein Eng (1993) vol. 6 (5) pp. 485-500 1. SSAP structure comparison 2. 150 non-redundant reps 3. See 3 clusters by Multidimensional scalingHolm and Sander. Protein structure comparison by alignment of distance matrices. J Mol Biol (1993) vol. 233 (1) pp. 123-38 1. Original DALI 2. 225 representatives 3. finds 3 clusters by hierarchical clusteringHolm and Sander. Touring protein fold space with Dali/FSSP. Nucleic Acids Res (1998) vol. 26 (1) pp. 316-9 1. Automated classification of fold spaceHolm and Sander. Mapping the protein universe. Science (1996) vol. 273 (5275) pp. 595-603 1. Use multivariate scaling to project proteins to 2D. 2. Use 287 unique folds as input 3. find 5 classes 4. DALI 5. Updates: Holm and Sander. Touring protein fold space with Dali/FSSP. Nucleic Acids Res (1998) vol. 26 (1) pp. 316-9Shindyalov and Bourne. An alternative view of protein fold space. Proteins (2000) vol. 38 (3) pp. 247-60 1. 2016 repr (using fast structural alignment), but only use 75 of them? 2. all-v-all, but no visualizationHou, Jingtong, Sims, Gregory E, Zhang, Chao, Kim, Sung-Hou H. A global representation of the protein fold space. Proceedings of the National Academy of Sciences of the United States of America (2003) vol. 100 (5) pp. 2386-90 1. 3D projection 2. incorporates SCOP 3. 498 scop fold reprsChoi and Kim. Evolution of protein structural classes and protein sequence families. Proceedings of the National Academy of Sciences of the United States of America (2006) vol. 103 (38) pp. 14056-61 1. [from Taylor] Common structural ancestors (CSAs) are estimated for protein families and the age of the CSA plotted in fold space. This shows the b/a class to be the most ancient. Although there is debate about the methods used to estimate age, the ancient nature of the b/a proteins is clear but not unexpected, as many other functional properties suggest their antiquity.Taylor. Evolutionary transitions in protein fold space. Curr Opin Struct Biol (2007) vol. 17 (3) pp. 354-61 1. Concludes that attempts to embed fold space are futile. 2. Previous attempts were able to distinguish &apos;class&apos; level but failed at finding significant relationships.  3. Contains a nice discussion about CP evolution 4. Cites Orengo, Holm, Hou, Choi.Sadreyev et al. Discrete-continuous duality of protein structure space. Curr Opin Struct Biol (2009) vol. 19 (3) pp. 321-8 1. Argues for continuous structural space with discrete evolutionary space. 2. Using DALI z-score as metric, cluster 2000 proteins in 2D using CLANS. Find continuous space with some &apos;mountains&apos; of higher densityDaniels et al. Touring Protein Space with Matt. IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM (2011) PREPRINT 1. Abstract claims automated classification at superfamily/fold 
  3. Familiar terms but highlight subtleties
  4. Should I mention ongoing Topic Page involvement?
  5. Based on Uliel. Bioinformatics (1999) vol. 15 (11) pp. 930-6
  6. Lee and Blaber. Experimental support for the evolution of symmetric protein architecture from a simple peptide motif. PNAS (2011) vol. 108 (1) pp. 126-30
  7. Would already be detected as protodomain
  8. Green-active transportersRed- channelsOmit legend
  9. a - All alpha proteinsb - All beta proteinsc - Alpha and beta proteins (a/b)d - Alpha and beta proteins (a+b)e - Multi-domain proteins (alpha and beta)f - Membrane and cell surface proteins and peptidesg - Small proteinsh - Coiled coil proteinsi - Low resolution protein structuresj - Peptidesk - Designed proteinsMain cluster: 6000/7467 = 80% nodes, 83780/86878 = 96% edges