Net Charge and Nonpolar Content Guide the Identification of Folded and Prion Proteins.

The degree of hydrophobicity and net charge per residue are physical properties that enable the discrimination of folded from intrinsically disordered proteins (IDPs) solely on the basis of amino acid sequence. Here, we improve upon the existing classification of proteins and IDPs based on the parameters mentioned above by adopting the scale of nonpolar content of Rose et al. and by taking amino acid side-chain acidity and basicity into account. The resulting algorithm, denoted here as net charge nonpolar or NECNOP, enables the facile prediction of the folded and disordered status of proteins under physiologically relevant conditions with >95% accuracy, based on amino-acid sequence alone. The NECNOP approach displays a much-enhanced performance for proteins with >140 residues, suggesting that small proteins are more likely to have irregular charge and hydrophobicity features. NECNOP analysis of the entire proteome identifies specific net charge and nonpolar regions peculiar to soluble, integral membrane, and non-integral membrane proteins. Surprisingly, protein net charge and hydrophobicity are found to converge to specific values as chain length increases, across the proteome. In addition, NECNOP plots enable the straightforward identification of protein sequences corresponding to prion proteins and promise to serve as a powerful predictive tool for the design of large proteins. In summary, NECNOP plots are a straightforward approach that improves our understanding of the relation between the amino acid sequence and three-dimensional structure of proteins as a function of molecular mass.