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Mass & secondary structure propensity of amino acids explain their mutability and evolutionary replacements.

ABSTRACT: Why is an amino acid replacement in a protein accepted during evolution? The answer given by bioinformatics relies on the frequency of change of each amino acid by another one and the propensity of each to remain unchanged. We propose that these replacement rules are recoverable from the secondary structural trends of amino acids. A distance measure between high-resolution Ramachandran distributions reveals that structurally similar residues coincide with those found in substitution matrices such as BLOSUM: Asn???Asp, P™he???Tyr, Lys???Arg, Gln???Glu, Ile???Val, Met???Leu; with Ala, Cys, His, Gly, Ser, Pro, and Thr, as structurally idiosyncratic residues. We also found a high average correlation ([Formula: see text]?=?0.85) between thirty amino acid mutability scales and the mutational inertia (I _X ), which measures the energetic cost weighted by the number of observations at the most probable amino acid conformation. These results indicate that amino acid substitutions follow two optimally-efficient principles: (a) amino acids interchangeability privileges their secondary structural similarity, and (b) the amino acid mutability depends directly on its biosynthetic energy cost, and inversely with its frequency. These two principles are the underlying rules governing the observed amino acid substitutions.

SUBMITTER: Bohorquez HJ

PROVIDER: S-EPMC5552740 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Mass & secondary structure propensity of amino acids explain their mutability and evolutionary replacements.

Bohórquez Hugo J HJ Suárez Carlos F CF Patarroyo Manuel E ME

Scientific reports 20170810 1

Why is an amino acid replacement in a protein accepted during evolution? The answer given by bioinformatics relies on the frequency of change of each amino acid by another one and the propensity of each to remain unchanged. We propose that these replacement rules are recoverable from the secondary structural trends of amino acids. A distance measure between high-resolution Ramachandran distributions reveals that structurally similar residues coincide with those found in substitution matrices suc ...[more]

PMID: 28798365

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Project description:The unique physiochemical properties and multiscale organization of layered materials draw the attention of researchers across a wide range of scientific disciplines. Layered structures are commonly found in diverse biological systems where they fulfill various functions. A prominent example of layered biological materials is the organization of proteins and polypeptides into the archetypal aggregated amyloidal structures. While the organization of proteins into amyloid structures was initially associated with various degenerative disorders, it was later revealed that proteins not related to any disease could also form identical layered assemblies. Thus, it appears that the ability of peptides and proteins to produce amyloid-like aggregates represents a generic property of polyamides to assemble into higher order fibrillar structures. In the aggregated state, the peptide backbone forms ?-sheet structures which are further organized into layered arrangements. We have recently extended the identified amyloidogenic building blocks to include not only peptides or proteins, but also single amino acids and other metabolites. High resolution spectroscopy and crystallography analyses confirm the clear potential of amino acids and other metabolites to form layered amyloid-like aggregates showing biophysical and biochemical properties similar to protein amyloids. Therefore, the generic propensity of peptides and proteins backbones to assemble into layered organizations may emanate from their basic building block, the amino acid. In this Account, we aim to introduce the concept of supramolecular ?-sheet organization of single amino acids and to present an analysis of their layered-structure organization based on single crystal structures. We demonstrate that, despite the different side-chains that considerably vary in their chemical properties, all coded amino acids display a layer-like assembly stabilized by ?-amine to ?-carboxyl H-bonds, resembling supramolecular ?-sheet structures, while the side-chains determine the higher order organization of the layers. Our work presents the first analysis of the ?-sheet propensity of single amino acids in their unbound form, indicating an evolutionary predisposition. We classify the amino acids ?-sheet propensity on the basis of the interlayer separation distance in the crystal packing, which correlates well with previously reported classifications based on various criteria, such as hydrophobicity, steric bulkiness, and folding. In addition, we demonstrate that the relative direction of ?-amine to ?-carboxyl H-bonding pattern provides critical insights regarding the stabilization of parallel versus antiparallel ?-sheet structures by the various amino acids. Taken together, our analysis of amino acid crystals provides substantial information regarding protein folding and dynamics and could serve as basic rules set for the design of potential building blocks for molecular self-assembly to produce functional materials of tunable properties, an important objective of bottom-up nanotechnology.

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Mass & secondary structure propensity of amino acids explain their mutability and evolutionary replacements.

Publications

Mass & secondary structure propensity of amino acids explain their mutability and evolutionary replacements.

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