Further Evidence for the Likely Completeness of the Library of Solved Single Domain Protein Structures
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Recent studies questioned whether the Protein Data Bank (PDB) contains all compact, single domain protein structures. Here, we show that all quasi-spherical, QS, random protein structures devoid of secondary structure are in the PDB and are excellent templates for all native PDB proteins up to 250 residues. Because QS templates have a similar global contour as native, TASSER can refine 98% (90%) of those whose TM-score is 0.4 (0.35) to structures greater than or equal to the 0.5 TM-score threshold (0.74 (0.64) mean TM-score) for CATH/SCOP assignment. On the basis of this and the fact that, at a TM-score of 0.4, 83% (90%) of all (internal) core secondary structure elements are recovered, a 0.40 TM-score is an appropriate fold similarity assignment threshold. Despite the claims of Taylor, Trovato, and Zhou that many of their structures lack a PDB counterpart, using fr-TM-align, at a 0.45 (0.5) TM-score threshold, essentially all (most) are found in the PDB. Thus, the conclusion that the PDB is likely complete is further supported.
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The reason SAdLSA trained on helical proteins works for β-proteins is that the global topology of β-proteins is in the training set; the chain contour of helical proteins provides a globally correct fold for β-proteins.
“The reason that SAdLSA trained on helical proteins works for β-proteins is that the global topology of β-proteins is in the training set;2,12,13 the chain contour of helical proteins provides a globally correct fold for β-proteins.13”
From AlphaFold 2: Why It Works and Its Implications for Understanding the Relationships of Protein Sequence, Structure, and Function (2021) · cites this paper as [13]
The library of single domain protein structures is essentially complete.
“The key to why AF211 works is the fact the library of single domain protein structures is essentially complete.2,12,13”
From AlphaFold 2: Why It Works and Its Implications for Understanding the Relationships of Protein Sequence, Structure, and Function (2021) · cites this paper as [13]
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GROMACS 3.0: a package for molecular simulation and trajectory analysis
Lindahl, E. R., Hess, B., & van der Spoel, D. (2001) · Journal of Molecular Modeling · doi:10.1007/s008940100045 · Cited by 6,953 · see citing works
Duan, Y., Wu, C., Chowdhury, S., Lee, M. C., Xiong, G., Zhang, W., Yang, R., Cieplak, P., Luo, R., Lee, T.-S., et al. (2003) · Journal of Computational Chemistry · doi:10.1002/jcc.10349 · Cited by 4,271 · see citing works
TM-align: a protein structure alignment algorithm based on the TM-score
Zhang, Y. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki524 · Cited by 3,774 · see citing works
Dali server: conservation mapping in 3D
Holm, L., & Rosenstr�m, P. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq366 · Cited by 3,640 · see citing works
Scoring function for automated assessment of protein structure template quality
Zhang, Y., & Skolnick, J. (2004) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.20264 · Cited by 2,392 · see citing works
Self-citationHow significant is a protein structure similarity with TM-score = 0.5?
Xu, J., & Zhang, Y. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq066 · Cited by 1,142 · see citing works
Data growth and its impact on the SCOP database: new developments
Andreeva, A. E., Howorth, D., Chandonia, J., Brenner, S. E., Hubbard, T., Chothia, C., & Murzin, A. G. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm993 · Cited by 933 · see citing works
SCOP database in 2004: refinements integrate structure and sequence family data
Andreeva, A. E. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh039 · Cited by 909 · see citing works
The RCSB Protein Data Bank: redesigned web site and web services
Rose, P. W., Beran, B., Bi, C., Bluhm, W. F., Dimitropoulos, D., Goodsell, D. S., Prlić, A., Quesada, M., Quinn, G. B., Westbrook, J., et al. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq1021 · Cited by 659 · see citing works
UCSF Chimera, MODELLER, and IMP: An integrated modeling system
Yang, Z. R., Lasker, K., Schneidman‐Duhovny, D., Webb, B., Huang, C. C., Pettersen, E. F., Goddard, T. D., Meng, E. C., Šali, A., & Ferrin, T. E. (2011) · Journal of Structural Biology · doi:10.1016/j.jsb.2011.09.006 · Cited by 637 · see citing works
Fast procedure for reconstruction of full‐atom protein models from reduced representations
Rotkiewicz, P., & Skolnick, J. (2008) · Journal of Computational Chemistry · doi:10.1002/jcc.20906 · Cited by 395 · see citing works
Self-citationSPICKER: A clustering approach to identify near‐native protein folds
Zhang, Y., & Skolnick, J. (2004) · Journal of Computational Chemistry · doi:10.1002/jcc.20011 · Cited by 393 · see citing works
Self-citationAutomated structure prediction of weakly homologous proteins on a genomic scale
Zhang, Y., & Skolnick, J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0305695101 · Cited by 344 · see citing works
Self-citationTHE CLASSIFICATION AND ORIGINS OF PROTEIN FOLDING PATTERNS
Chothia, C., & Finkelstein, A. V. (1990) · Annual Review of Biochemistry · doi:10.1146/annurev.bi.59.070190.005043 · Cited by 311 · see citing works
The protein structure prediction problem could be solved using the current PDB library
Zhang, Y., & Skolnick, J. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407152101 · Cited by 297 · see citing works
Self-citationCuff, A. L., Sillitoe, I., Lewis, T. E., et al. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn877 · Cited by 204 · see citing works
On the origin and highly likely completeness of single-domain protein structures
Zhang, Y., Hubner, I. A., Arakaki, A. K., Shakhnovich, E., & Skolnick, J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509379103 · Cited by 197 · see citing works
Self-citationAssessment of template based protein structure predictions in CASP9
Mariani, V., Kiefer, F., Schmidt, T., Haas, J., & Schwede, T. (2011) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.23177 · Cited by 185 · see citing works
Certification of an optimal TSP tour through 85,900 cities
Applegate, D., Bixby, R. E., Chvátal, V., et al. (2008) · Operations Research Letters · doi:10.1016/j.orl.2008.09.006 · Cited by 176 · see citing works
Fr-TM-align: a new protein structural alignment method based on fragment alignments and the TM-score
Pandit, S. B., & Skolnick, J. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-531 · Cited by 138 · see citing works
Self-citationCuff, A. L., Sillitoe, I., Lewis, T., et al. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq1001 · Cited by 136 · see citing works
The PDB is a Covering Set of Small Protein Structures
Kihara, D., & Skolnick, J. (2003) · Journal of Molecular Biology · doi:10.1016/j.jmb.2003.10.027 · Cited by 120 · see citing works
Self-citationInvestigation of Protein Folding by Coarse-Grained Molecular Dynamics with the UNRES Force Field
Maisuradze, G. G., Senet, P., Czaplewski, C. R., Liwo, A., & Scheraga, H. A. (2010) · The Journal of Physical Chemistry A · doi:10.1021/jp9117776 · Cited by 105 · see citing works
Probing the “Dark Matter” of Protein Fold Space
Taylor, W. R., Chelliah, V., Hollup, S. M., MacDonald, J. T., & Jonassen, I. (2009) · Structure · doi:10.1016/j.str.2009.07.012 · Cited by 87 · see citing works
The continuity of protein structure space is an intrinsic property of proteins
Skolnick, J., Arakaki, A. K., Lee, S. Y., & Bryliński, M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0907683106 · Cited by 83 · see citing works
Self-citationExploring the Universe of Protein Structures beyond the Protein Data Bank
Cossio, P., Trovato, A., Pietrucci, F., Seno, F., Maritan, A., & Laio, A. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000957 · Cited by 73 · see citing works
Discrete–continuous duality of protein structure space
Sadreyev, R. I., Kim, B., & Grishin, N. V. (2009) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2009.04.009 · Cited by 70 · see citing works
Cuff, A. L., Redfern, O., Greene, L. H., Sillitoe, I., Lewis, T. E., Dibley, M., Reid, A. J., Pearl, F. M. G., Dallman, T. J., Todd, A. E., et al. (2009) · Structure · doi:10.1016/j.str.2009.06.015 · Cited by 54 · see citing works
Conformation-family Monte Carlo: A new method for crystal structure prediction
Pillardy, J., Arnautova, Y. A., Czaplewski, C. R., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.231479298 · Cited by 52 · see citing works
Zal, F., Suzuki, T., Kawasaki, Y., Childress, J. J., Lallier, F. H., & Toulmond, A. (1997) · Proteins Structure Function and Bioinformatics · doi:10.1002/(sici)1097-0134(199712)29:4 · Cited by 43 · see citing works
Computational Protein Design and Large-Scale Assessment by I-TASSER Structure Assembly Simulations
Bazzoli, A., Tettamanzi, A. G. B., & Zhang, Y. (2011) · Journal of Molecular Biology · doi:10.1016/j.jmb.2011.02.017 · Cited by 38 · see citing works
Protein Structure Comparison Using SAP
Taylor, W. R. (2003) · Humana Press eBooks · doi:10.1385/1-59259-368-2:19 · Cited by 32 · see citing works
A method for the prediction of surface “U”-turns and transglobular connections in small proteins
Koliński, A., Skolnick, J., Godzik, A., & Hu, W. (1997) · Proteins Structure Function and Bioinformatics · doi:10.1002/(sici)1097-0134(199702)27:2 · Cited by 32 · see citing works
Self-citationDai, L., & Zhou, Y. (2011) · Journal of Molecular Biology · doi:10.1016/j.jmb.2011.02.056 · Cited by 28 · see citing works
Arnautova, Y. A., Vorobjev, Y. N., Vila, J. A., & Scheraga, H. A. (2009) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.22414 · Cited by 27 · see citing works
A Localized Specific Interaction Alters the Unfolding Pathways of Structural Homologues
Xu, G., Narayan, M., Kurinov, I. V., et al. (2006) · Journal of the American Chemical Society · doi:10.1021/ja055313e · Cited by 23 · see citing works
Bryliński, M., Gao, M., & Skolnick, J. (2011) · Physical Chemistry Chemical Physics · doi:10.1039/c1cp21140d · Cited by 16 · see citing works
Self-citationStatistics of Random Protein Superpositions: p -Values for Pairwise Structure Alignment
Wrabl, J. O., & Grishin, N. V. (2008) · Journal of Computational Biology · doi:10.1089/cmb.2007.0161 · Cited by 10 · see citing works
Lee, S. Y., & Skolnick, J. (2010) · Biophysical Journal · doi:10.1016/j.bpj.2010.09.007 · Cited by 9 · see citing works
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Skolnick, J., Gao, M., Zhou, H., & Singh, S. (2021) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.1c01114 · Cited by 251 · see citing works
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- Authors
- Skolnick, J., Zhou, H., & Brylinski, M.
- Affiliations
- Georgia Institute of Technology (US)
- Center for the Study of Systems Biology, Georgia Institute of Technology, 250 14th Street NW, Atlanta, Georgia 30318, United States
- Corresponding author
- Skolnick, Jeffrey
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-02-13
- Volume
- 116
- Issue
- 23
- Pages
- 6654-6664
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- PMC
- PMC3351587
- OpenAlex
- W2081208252
- Cited by
- 35
- References
- 40
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 2 · 2022: 2 · 2021: 1 · 2019: 1 · 2018: 3 · 2017: 1 · 2016: 2 · 2015: 1 · 2014: 4 · 2013: 11 · 2012: 3
- FWCI
- 2.44
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- The Journal of Physical Chemistry B (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Civil War Book Review (submittedVersion)
- Funders
- National Institutes of Health
- National Institute of General Medical Sciences (R01GM037408, GM-48835, R01GM048835)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Keywords
- single-domain proteins, TM-score
- MeSH terms
- Algorithms, Models, Molecular, Proteins, Protein Structure, Secondary, Peptide Library, Databases, Protein
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