2016
DOI: 10.1073/pnas.1611781113
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Evolutionary trend toward kinetic stability in the folding trajectory of RNases H

Abstract: Proper folding of proteins is critical to producing the biological machinery essential for cellular function. The rates and energetics of a protein's folding process, which is described by its energy landscape, are encoded in the amino acid sequence. Over the course of evolution, this landscape must be maintained such that the protein folds and remains folded over a biologically relevant time scale. How exactly a protein's energy landscape is maintained or altered throughout evolution is unclear. To study how … Show more

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Cited by 39 publications
(65 citation statements)
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References 54 publications
(87 reference statements)
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“…These networks can often be disrupted by even a single amino acid change if that change is non-conservative in a necessary physical property (11). Several research groups have exploited the preservation of these networks over time to reconstruct ancestral protein lineages and better understand the link between protein sequence structure and function (22,36,43). Due to the highly correlated, chemically conserved sequence patterns present in these reconstructed lineages, DeCoDe offers an attractive solution to the problem of synthesizing the complete protein family for functional testing simultaneously.…”
Section: Discussionmentioning
confidence: 99%
“…These networks can often be disrupted by even a single amino acid change if that change is non-conservative in a necessary physical property (11). Several research groups have exploited the preservation of these networks over time to reconstruct ancestral protein lineages and better understand the link between protein sequence structure and function (22,36,43). Due to the highly correlated, chemically conserved sequence patterns present in these reconstructed lineages, DeCoDe offers an attractive solution to the problem of synthesizing the complete protein family for functional testing simultaneously.…”
Section: Discussionmentioning
confidence: 99%
“…All sequences are assumed to fold to a fixed native structure according to the Go-like model defined in Eq. (2). The native structure can be chosen as either the entangled structure in Figure 1(a), or the twin non-entangled structure in Figure 1(b).…”
Section: Folding Simulationsmentioning
confidence: 99%
“…INTRODUCTIONThe biological function of most proteins requires them to fold into a well-defined native state, implying that both structure maintenance and efficient folding are kept under selective pressure by evolutionary processes [1]. In particular, a direct experimental evidence, pointing to some degree of folding rate optimization throughout evolution, was recently provided for ribonuclease H, using ancestral sequence reconstruction [2]. Bio-informatics analyses had also uncovered similar evolutionary signals already two decades ago for several folds [3], and more recently for a large catalog of protein domains [4].The latter study was based on the well known empirical correlation between experimentally measured folding rates of proteins and simple descriptors of the structural organization of the native state [5].…”
mentioning
confidence: 99%
“…ASR has been applied to a variety of protein families and in addition to revealing the evolutionary history, these ancestral proteins can act as intermediates in sequence space to uncover mechanisms underlying protein properties ( Starr et al, 2017 ; Gaucher et al, 2008 ; Hobbs et al, 2012 ; Perez-Jimenez et al, 2011 ; Risso et al, 2013 ; Smock et al, 2016 ; Akanuma et al, 2013 ; Siddiq et al, 2017 ). Recently, ancestral sequence reconstruction was applied to the RNase H family and the thermodynamic and kinetic properties of seven ancestral proteins connecting the lineages of E. coli and T. thermophilus RNase H (ecRNH* and ttRNH*) were characterized ( Hart et al, 2014 ; Lim et al, 2016 ; Lim and Marqusee, 2017 ). Stopped-flow kinetics monitored by circular dichroism (CD) demonstrate that all seven ancestral proteins populate a folding intermediate before the rate-limiting step.…”
Section: Introductionmentioning
confidence: 99%