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A new computational model to study mass inhomogeneity and hydrophobicity inhomogeneity in proteins
Authors:Anirban Banerji  Indira Ghosh
Affiliation:(1) Bioinformatics Centre, University of Pune, Pune, 411007, Maharashtra, India;(2) School of Information Technology, Jawaharlal Nehru University, New Delhi, 110067, India
Abstract:We propose a simple yet reliable computational framework that characterizes the differential mass and hydrophobicity distribution within structural classes of proteins. Radial partitioning of protein interior that could successfully distinguish the mass and hydrophobicity distribution patterns in extremophilic proteins from that in their structurally aligned mesophilic counterparts. Distance-dependent mass and hydrophobicity magnitudes could retrieve vital structural insights; needed to probe the hidden connections between packing, folding and stability within different structural classes of proteins, with causality. New computational markers; one, to represent the total mass content; other, related to hydrophobic centrality of proteins, are proposed as well. Results reveal that mass and hydrophobicity packing within extremophilic proteins is indeed more compact than that in their mesophilic counterparts. Analysis of structural constraints within them vindicate it. Total mass (and hydrophobicity) content is found to be maximum in α/β thermophilic proteins and minimum for the all-α mesophilic proteins. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.
Keywords:Inhomogeneously packed protein interior  Mass packing  Hydrophobicity packing  Hydrophobic center  Radial partitioning  Structural classification of proteins
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