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The temperature dependence of amino acid hydrophobicity data is related to the genetic coding algorithm for complementary (sense and antisense) peptide interactions
We present the data concerning the clustering of sense and antisense amino acid pairs into polar, nonpolar and neutral groups, as measured using hydrophobicity parameter—logarithmic equilibrium constants (Log(10) K(w>c))—at 25 °C and 100 °C (Wolfenden et al., 2015). The Log(10) K(w>c), values,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7138962/ https://www.ncbi.nlm.nih.gov/pubmed/32280734 http://dx.doi.org/10.1016/j.dib.2020.105392 |
Sumario: | We present the data concerning the clustering of sense and antisense amino acid pairs into polar, nonpolar and neutral groups, as measured using hydrophobicity parameter—logarithmic equilibrium constants (Log(10) K(w>c))—at 25 °C and 100 °C (Wolfenden et al., 2015). The Log(10) K(w>c), values, of the complementary amino acid pairs are strongly correlated to the central (2nd) purine base of the mRNA codon and the complementary pyrimidine base of the tRNA anticodon. Clustering of amino acids is temperature independent with regard to the direction of translation (3′ → 5′ or 5′ → 3′). The Log(10) K(w>c) discriminate between artificial Hecht α- and β-protein datasets at 25 °C and 100 °C. Interpretation of this data may be found in the research article entitled “Determining amino acid scores of the genetic code table: complementarity, structure, function and evolution” (Štambuk and Konjevoda, 2020). |
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