2020
DOI: 10.1002/pro.3977
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A collection of programs for one‐dimensional Ising analysis of linear repeat proteins with point substitutions

Abstract: A collection of programs is presented to analyze the thermodynamics of folding of linear repeat proteins using a 1D Ising model to determine intrinsic folding and interfacial coupling free energies. Expressions for folding transitions are generated for a series of constructs with different repeat numbers and are globally fitted to transitions for these constructs. These programs are designed to analyze Ising parameters for capped homopolymeric consensus repeat constructs as well as heteropolymeric constructs t… Show more

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Cited by 4 publications
(3 citation statements)
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“…To globally fit unfolding transitions of γDC variants, we generated fitting equations using a one-dimensional Ising model as described previously (39, 55). Python code modified from Marold et.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To globally fit unfolding transitions of γDC variants, we generated fitting equations using a one-dimensional Ising model as described previously (39, 55). Python code modified from Marold et.…”
Section: Methodsmentioning
confidence: 99%
“…al. (55) was used to generate and fit partition functions describing the fraction of a given folded state as a function of denaturant using separate equilibrium constants for folding of individual domains and for the interface coupling (Table S3). To fit V132A data, we modified the 1-D Ising partition function to permit coupling between the CTD and the unfolded NTD.…”
Section: Determination Of Global Stability By Intrinsic Tryptophan Fl...mentioning
confidence: 99%
“…Direct measurements of these parameters allow a quantitative assessment of the impacts of a point mutation. Several models have been developed to analyze these perturbations including one dimensional Ising analysis ( Marold et al, 2021 ), positional frustration analysis ( Parra et al, 2015 ; Espada et al, 2017 ), use of energy functions like Rosetta ( Zhu et al, 2016 ), and others ( Hutton et al, 2015 ). Free energy analysis can also be used to define sequence conservation, perhaps more accurately than sequence consensus and co-variation analysis has also been applied to both Ankyrin and TPR proteins ( Mosavi et al, 2002 ; Magliery and Regan, 2004 ) using both real and simulated data to improve the statistical parameters of the analysis ( Travers and Fares, 2007 ).…”
Section: Introductionmentioning
confidence: 99%