Existence of homologous proteins that fold into globally different structures signifies an alternative to the concept that structures are more conserved than sequences and demonstrates that protein structures can evolve and change, thus possibly generating new folds and topologies. Our understanding of fold changes in evolution is currently limited to a number of illustrious examples contributed by both experimental studies and computational analysis of available protein structures. Preliminary results demonstrate that structural changes in evolution are more common than is usually accepted. We were able to define four potential mechanisms of fold changes in evolution: insertion deletion/substitution of structural elements, circular permutation, strand invasion, hairpin flip/swap. It is necessary to clarify the scope of these events and to perform a comprehensive analysis of sequence and structure data to find all instances of such changes and classify them. We will undertake comprehensive homology searches for the sequences from proteins families with known structure to find statistically significant sequence similarity links between proteins with different folds. We will analyze the nature of the differences and catalogue possible mechanisms of fold changes in evolution of protein structures. Finally, we will perform in silico evolution of model proteins under functional constraints and compare the results to those deduced from the analysis of natural sequences and structures.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM067165-04
Application #
7113230
Study Section
Molecular and Cellular Biophysics Study Section (BBCA)
Program Officer
Wehrle, Janna P
Project Start
2003-09-01
Project End
2008-08-31
Budget Start
2006-09-01
Budget End
2008-08-31
Support Year
4
Fiscal Year
2006
Total Cost
$274,201
Indirect Cost
Name
University of Texas Sw Medical Center Dallas
Department
Biochemistry
Type
Schools of Medicine
DUNS #
800771545
City
Dallas
State
TX
Country
United States
Zip Code
75390
Kinch, Lisa N; Li, Wenlin; Monastyrskyy, Bohdan et al. (2016) Assessment of CASP11 contact-assisted predictions. Proteins 84 Suppl 1:164-80
Kinch, Lisa; Yong Shi, Shuo; Cong, Qian et al. (2011) CASP9 assessment of free modeling target predictions. Proteins 79 Suppl 10:59-73
Kinch, Lisa N; Shi, Shuoyong; Cheng, Hua et al. (2011) CASP9 target classification. Proteins 79 Suppl 10:21-36
Sadreyev, Ruslan I; Feramisco, Jamison D; Tsao, Hensin et al. (2009) Phenotypic categorization of genetic skin diseases reveals new relations between phenotypes, genes and pathways. Bioinformatics 25:2891-6
Sadreyev, Ruslan I; Wang, Yong; Grishin, Nick V (2009) Considering scores between unrelated proteins in the search database improves profile comparison. BMC Bioinformatics 10:399
Wang, Yong; Sadreyev, Ruslan I; Grishin, Nick V (2009) PROCAIN: protein profile comparison with assisting information. Nucleic Acids Res 37:3522-30
Shi, Shuoyong; Chitturi, Bhadrachalam; Grishin, Nick V (2009) ProSMoS server: a pattern-based search using interaction matrix representation of protein structures. Nucleic Acids Res 37:W526-31
Majumdar, Indraneel; Kinch, Lisa N; Grishin, Nick V (2009) A database of domain definitions for proteins with complex interdomain geometry. PLoS One 4:e5084
Raman, Srivatsan; Vernon, Robert; Thompson, James et al. (2009) Structure prediction for CASP8 with all-atom refinement using Rosetta. Proteins 77 Suppl 9:89-99
Kinch, Lisa N; Grishin, Nick V (2009) The human Ago2 MC region does not contain an eIF4E-like mRNA cap binding motif. Biol Direct 4:2

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