The regularities of the changes of amino acid physico-chemical properties within the genetic code

How ambiguity codes specify molecular descriptors and information flow in Code Biology

The article presents IUPAC ambiguity codes for incomplete nucleic acid specification, and their use in Code Biology. It is shown how to use this nomenclature in order to extract accurate information on different properties of the biological systems. We investigated the use of ambiguity codes, as mathematical and logical operators and truth table elements, for the encoding of amino acids by means of the Standard Genetic Code. It is explained how to use ambiguity codes and truth functions in order to obtain accurate information on different properties of the biological systems. Nucleotide ambiguity codes could be applied to: 1. encoding descriptive information of nucleotides, amino acids and proteins (e.g., of polarity, relative solvent accessibility, atom depth, etc.), and 2. system modelling ranging from standard bioinformatics tools to classic evolutionary models (i.e. from Miyazawa-Jernigan statistical potential to Kimura three-substitution-type model, respectively). It is shown that the algorithms based on IUPAC ambiguity codes, Boolean functions and truth table, Probabilistic Square of Opposition/Semiotic Square and Klein 4-groups-could be used for the bioinformatics analyses and Relational data modelling in natural science. Underlying mathematical, logical and semiotic concepts of interest are presented and addressed.

New hypothesis on amino acid complementarity and its evaluation on TGF-beta(2)-related peptides

A new hypothesis of amino acid complementarity based on the genetic code periodicity is presented and evaluated on the peptide pairs composed of the fragments of TGF-beta(2) protein (YIGKTPKI and YYIGKTPKIE) and corresponding complementary peptides [IYPLC(Acm)GLY, IIYTLWGLYL, IIYPLC(Acm)GLYL and IIYTLC(Acm)GLYL]. The ESI-MS and CD methods were used for monitoring of the complexation. It was found that heterodimeric structures are formed between the peptides and complementary peptides. No complexation appears in solutions of single components of the systems, nor in solutions containing the mixtures of TGF-beta(2) peptides or complementary peptides. CD measurements suggest that the conformation of peptides needed for complex formation is of the beta-structure type. The binding forces, which stabilize the complexes, consist mainly of hydrophobic interactions.

A non-statistical approach to protein mutational variability

The non-statistical, non-Markovian model of protein mutational variability is described. There are presented the essential features of the algorithm of genetic semihomology and some examples of its application. The results of genetic semihomology approach are compared with the results obtained by using statistical algorithms and matrices which are assumed in widely used programs such as ClustalW, FASTA, MultAlin and BLAST. The aim of the new algorithm elaboration is to improve the accuracy of the results of protein sequence comparison, avoid the wrong assumptions and misinterpretation of the results, and increase the amount of information available from such study.