Dataset Information

Structural Motifs Critical for In Vivo Function and Stability of the RecQ-Mediated Genome Instability Protein Rmi1.

ABSTRACT: Rmi1 is a member of the Sgs1/Top3/Rmi1 (STR) complex of Saccharomyces cerevisiae and has been implicated in binding and catalytic enhancement of Top3 in the dissolution of double Holliday junctions. Deletion of RMI1 results in a severe growth defect resembling that of top3?. Despite the importance of Rmi1 for cell viability, little is known about its functional domains, particularly in Rmi1 of S. cerevisiae, which does not have a resolved crystal structure and the primary sequence is poorly conserved. Here, we rationally designed point mutations based on bioinformatics analysis of order/disorder and helical propensity to define three functionally important motifs in yeast Rmi1 outside of the proposed OB-fold core. Replacing residues F63, Y218 and E220 with proline, designed to break predicted N-terminal and C-terminal ?-helices, or with lysine, designed to eliminate hydrophobic residues at positions 63 and 218, while maintaining ?-helical structure, caused hypersensitivity to hydroxyurea. Further, Y218P and E220P mutations, but not F63P and F63K mutations, led to reduced Rmi1 levels compared to wild type Rmi1, suggesting a role of the C-terminal ?-helix in Rmi1 stabilization, most likely by protecting the integrity of the OB-fold core. Our bioinformatics analysis also suggests the presence of a disordered linker between the N-terminal ?-helix and the OB fold core; a P88A mutation, designed to increase helicity in this linker, also impaired Rmi1 function in vivo. In conclusion, we propose a model that maps all functionally important structural features for yeast Rmi1 based on biological findings in yeast and structure-prediction-based alignment with the recently established crystal structure of the N-terminus of human Rmi1.

SUBMITTER: Kennedy JA

PROVIDER: S-EPMC4696737 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Structural Motifs Critical for In Vivo Function and Stability of the RecQ-Mediated Genome Instability Protein Rmi1.

Kennedy Jessica A JA Syed Salahuddin S Schmidt Kristina H KH

PloS one 20151230 12

Rmi1 is a member of the Sgs1/Top3/Rmi1 (STR) complex of Saccharomyces cerevisiae and has been implicated in binding and catalytic enhancement of Top3 in the dissolution of double Holliday junctions. Deletion of RMI1 results in a severe growth defect resembling that of top3Δ. Despite the importance of Rmi1 for cell viability, little is known about its functional domains, particularly in Rmi1 of S. cerevisiae, which does not have a resolved crystal structure and the primary sequence is poorly cons ...[more]

PMID: 26717309

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Project description:The Protein Data Bank (PDB) has been a key resource for learning general rules of sequence-structure relationships in proteins. Quantitative insights have been gained by defining geometric descriptors of structure (e.g., distances, dihedral angles, solvent exposure, etc.) and observing their distributions and sequence preferences. Here we argue that as the PDB continues to grow, it may become unnecessary to reduce structure into a set of elementary descriptors. Instead, it could be possible to deduce quantitative sequence-structure relationships in the context of precisely-defined complex structural motifs by mining the PDB for closely matching backbone geometries. To validate this idea, we turned to the the task of predicting changes in protein stability upon amino-acid substitution-a difficult problem of broad significance. We defined non-contiguous tertiary motifs (TERMs) around a protein site of interest and extracted sequence preferences from ensembles of closely-matching substructures in the PDB to predict mutational stability changes at the site, ??Gm. We demonstrate that these ensemble statistics predict ??Gm on par with state-of-the-art statistical and machine-learning methods on large thermodynamic datasets, and outperform these, along with a leading structure-based modeling approach, when tested in the context of unbiased diverse mutations. Further, we show that the performance of the TERM-based method is directly related to the amount of available relevant structural data, automatically improving with the growing PDB. This enables a means of estimating prediction accuracy. Our results clearly demonstrate that: 1) statistics of non-contiguous structural motifs in the PDB encode fundamental sequence-structure relationships related to protein thermodynamic stability, and 2) the PDB is now large enough that such statistics are already useful in practice, with their accuracy expected to continue increasing as the database grows. These observations suggest new ways of using structural data towards addressing problems of computational structural biology.

Dataset Information

Structural Motifs Critical for In Vivo Function and Stability of the RecQ-Mediated Genome Instability Protein Rmi1.

Publications

Structural Motifs Critical for In Vivo Function and Stability of the RecQ-Mediated Genome Instability Protein Rmi1.

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