Funneled angle landscapes for helical proteins

We use crystallographic data for four helical iron proteins (cytochrome c-b₅₆₂, cytochrome c′, sperm whale myoglobin, human cytoglobin) to calculate radial and angular signatures as each unfolds from the native state stepwise though four unfolded states. From these data we construct an angle phase d...

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Bibliographic Details
Published in:Journal of Inorganic Biochemistry
Main Authors: Kozak, John J., Gray, Harry B., Garza-López, Roberto A.
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2020
Subjects:
Online Access:https://authors.library.caltech.edu/103106/
https://authors.library.caltech.edu/103106/1/1-s2.0-S0162013420301197-main.pdf
https://authors.library.caltech.edu/103106/9/nihms-1601242.pdf
https://authors.library.caltech.edu/103106/5/1-s2.0-S0162013420301197-mmc1.docx
https://resolver.caltech.edu/CaltechAUTHORS:20200511-125453032
Description
Summary:We use crystallographic data for four helical iron proteins (cytochrome c-b₅₆₂, cytochrome c′, sperm whale myoglobin, human cytoglobin) to calculate radial and angular signatures as each unfolds from the native state stepwise though four unfolded states. From these data we construct an angle phase diagram to display the evolution of each protein from its native state; and, in turn, the phase diagram is used to construct a funneled angle landscape for comparison with the topography of its folding energy landscape. We quantify the departure of individual helical and turning regions from the areal, angular profile of corresponding regions of the native state. This procedure allows us to identify the similarities and differences among individual helical and turning regions in the early stages of unfolding of the four helical heme proteins.