Abstract:
:Protein function depends on both protein structure and amino acid (aa) sequence. Here we show that modular features of both structure and function can be quantified economically from the aa sequences alone for the small (40,42 aa) plaque-forming (aggregative) amyloid beta fragments. Some edge and center features of the fragments are predicted. Bioinformatic scales based on β strand formation propensities and the thermodynamically second order fractal hydropathicity scale based on evolutionary optimization (self-organized criticality) are contrasted with the standard first order physicochemical scale based on complete protein (water-air) unfolding. The results are consistent with previous studies of these physicochemical factors that show that aggregative properties, even of beta fragments, are driven primarily by near-equilibrium hydropathic forces.
journal_name
ACS Chem Neuroscijournal_title
ACS chemical neuroscienceauthors
Phillips JCdoi
10.1021/cn5001793subject
Has Abstractpub_date
2015-05-20 00:00:00pages
745-50issue
5issn
1948-7193journal_volume
6pub_type
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journal_title:ACS chemical neuroscience
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journal_title:ACS chemical neuroscience
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journal_title:ACS chemical neuroscience
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