Network Mapping of the Conformational Heterogeneity of SOD1 by Deploying Statistical Cluster Analysis of FTIR Spectra
Document Type
Article
Publication Date
2019
Keywords
ALS, Superoxide dismutase, Infrared spectroscopy, Protein folding, Correlation analysis, Cluster dendrogram, Protein aggregation
Digital Object Identifier (DOI)
https://doi.org/10.1007/s00018-019-03108-2
Abstract
A crucial contribution to the heterogeneity of the conformational landscape of a protein comes from the way an intermediate relates to another intermediate state in its journey from the unfolded to folded or misfolded form. Unfortunately, it is extremely hard to decode this relatedness in a quantifiable manner. Here, we developed an application of statistical cluster analyses to explore the conformational heterogeneity of a metalloenzyme, human cytosolic copper–zinc superoxide dismutase (SOD1), using the inputs from infrared spectroscopy. This study provides a quantifiable picture of how conformational information at one particular site (for example, the copper-binding pocket) is related to the information at the second site (for example, the zinc-binding pocket), and how this relatedness is transferred to the global conformational information of the protein. The distance outputs were used to quantitatively generate a network capturing the folding sub-stages of SOD1.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Cellular and Molecular Life Sciences, v. 76, p. 4145-4154
Scholar Commons Citation
Chowdhury, Sourav; Sen, Sagnik; Banerjee, Amrita; Uversky, Vladimir N.; Maulik, Ujjwal; and Chattopadhyay, Krishnananda, "Network Mapping of the Conformational Heterogeneity of SOD1 by Deploying Statistical Cluster Analysis of FTIR Spectra" (2019). Molecular Medicine Faculty Publications. 150.
https://digitalcommons.usf.edu/mme_facpub/150
