Literature DB >> 34333582

Experimental lipophilicity scale for coded and noncoded amino acid residues.

Vladimir Kubyshkin1.   

Abstract

Among other features, the polarity of amino acid residues is the key parameter for understanding their role in proteins. The wide occurrence of protein modifications in nature and the advent of genetic code engineering techniques created a need for an experimental polarity value integrating both coded (canonical) and noncoded (noncanonical) residues on one universal scale. To address this issue, this work reports on a polarity scale based on the experimental lipophilicity of methyl esters of N-acetylamino acids. The derivatization of amino acids was performed in two steps under mild conditions that allowed conversion of a wide array of amino acids into analytical derivatives. The partitioning/distribution between octan-1-ol and water/buffer was measured using the intensity of the NMR signal as a characteristic for the concentration. The reference set of twenty coded amino acids generated log P values spanning 5.1 units: from tryptophan being the most hydrophobic to aspartate being the most hydrophilic. Furthermore, lipophilicity was measured for a set of analogues of phenylalanine, tyrosine, tryptophan, methionine, proline, and lysine that are typical in nature and/or laboratory practice. The polarity scale reported here will aid the rationalization of amino acid replacements in proteins, and will guide further efforts in experimental genetic code engineering.

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Year:  2021        PMID: 34333582     DOI: 10.1039/d1ob01213d

Source DB:  PubMed          Journal:  Org Biomol Chem        ISSN: 1477-0520            Impact factor:   3.876


  3 in total

1.  Tuning the Properties of Protein-Based Polymers Using High-Performance Orthogonal Translation Systems for the Incorporation of Aromatic Non-Canonical Amino Acids.

Authors:  Osher Gueta; Ortal Sheinenzon; Rotem Azulay; Hadas Shalit; Daniela S Strugach; Dagan Hadar; Sigal Gelkop; Anat Milo; Miriam Amiram
Journal:  Front Bioeng Biotechnol       Date:  2022-05-30

2.  Protein Design with Fluoroprolines: 4,4-Difluoroproline Does Not Eliminate the Rate-Limiting Step of Thioredoxin Folding.

Authors:  Jennie O' Loughlin; Silvia Napolitano; Marina Rubini
Journal:  Chembiochem       Date:  2021-10-08       Impact factor: 3.461

3.  Halogenation of tyrosine perturbs large-scale protein self-organization.

Authors:  Huan Sun; Haiyang Jia; Olivia Kendall; Jovan Dragelj; Vladimir Kubyshkin; Tobias Baumann; Maria-Andrea Mroginski; Petra Schwille; Nediljko Budisa
Journal:  Nat Commun       Date:  2022-08-17       Impact factor: 17.694

  3 in total

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