2010
DOI: 10.1089/omi.2009.0022
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Prediction of Stability upon Point Mutation in the Context of the Folding Nucleus

Abstract: Proteins come in all shapes and sizes. Although it is possible to predict with reasonable success their structure from their sequence, the process of folding a chain of amino acids into its tertiary structure remains partially understood. This article addresses several characteristics pertaining to protein folding. The development of the Most Interacting Residues (MIR) algorithm, which dynamically simulates the early folding events, permits a reasonable ab initio prediction of the deeply buried critical residu… Show more

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Cited by 6 publications
(8 citation statements)
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“…The results of the simulation revealed a significant trend of burial of the MIR elements at the initiation of the folding process. The importance of the MIR elements was further validated by the simulation of mutations in these sequences and correlation with the known stabilities of 385 proteins with published stability data (Lonquety et al 2009). These studies of the MIR elements, which are located are at the ends of long loops, strongly support the loop hypothesis.…”
Section: O'neill Et Al (O'neill and Robert Matthews 2000)mentioning
confidence: 92%
See 1 more Smart Citation
“…The results of the simulation revealed a significant trend of burial of the MIR elements at the initiation of the folding process. The importance of the MIR elements was further validated by the simulation of mutations in these sequences and correlation with the known stabilities of 385 proteins with published stability data (Lonquety et al 2009). These studies of the MIR elements, which are located are at the ends of long loops, strongly support the loop hypothesis.…”
Section: O'neill Et Al (O'neill and Robert Matthews 2000)mentioning
confidence: 92%
“…Papandreou and Chomilier and coworkers (Lonquety et al 2009;Papandreou et al 2004;Prudhomme and Chomilier 2009) used native fold analysis and simulations to further develop the concept of closed loops as early folding structures and to elucidate the mechanism of folding. An algorithm was developed for the recognition of the residues involved in the loop closure interaction, which were named Most Interacting Residues (MIR); this was followed by dynamic simulation of the early folding events.…”
Section: O'neill Et Al (O'neill and Robert Matthews 2000)mentioning
confidence: 99%
“…It then gives a precise idea of positions where a mutation that would change the hydrophobicity of the side chain is likely to have important consequences on the structure. MIR and its extension SMIR are also integrated in the whole SPROUTS analysis system, where the results can be compared to stability analyses [10,38,39]. MIR is listed as a service of the Mobyle portal for bioinformatics analyses (http://mobyle.rpbs.univparis-diderot.fr/), developed joint ly by the Institut Pasteur Biology IT Center and RPBS that supports linear workflows integrating various services and databanks [40].…”
Section: Discussionmentioning
confidence: 99%
“…We will explore how MIR can be used as an index to guide the alignment of proteins, therefore identifying areas of similarities that typically are not captured by traditional alignment methods [44]. A second promising area resides in integrating MIR with stability analyses to better predict the impact of mutations on protein structure [10,38,39]. We will investigate how the consensus method consisting of the average of various stability analyses currently made available in SPROUTS [12] can be improved for the prediction of the dramatic impact of mutation of protein structures with MIR.…”
Section: Discussionmentioning
confidence: 99%
“…Chomilier et al [44][45][46] used native fold analysis and simulations to develop the concept of closed loops as early folding structures and to elucidate the mechanism of folding [44]. An algorithm was developed for the identification of the residues involved in the loop closure interaction, which were named most interacting residues (MIR).…”
Section: Introductionmentioning
confidence: 99%