Periodical changes of amino acid reactivity within the genetic code

Clustered complementary amino acid pairing (CCAAP) for protein-protein interaction

OBJECTIVES

Designing a polypeptide sequence to interact with a preselected target polypeptide sequence of a protein has long been of interest, yet remains an elusive goal.

RESULTS

Here, we propose a novel concept named "Clustered Complementary Amino Acid Pairing (CCAAP)," which plays an essential role in protein-protein interaction (PPI). Complementary amino acid pairing (CAAP) is a pairing between two amino acids encoded by a codon and its reverse complementary codon. CAAP interactions largely agree with the physicochemical and stereochemical requirements for probable amino acid pairings. Interestingly, 82 PPI structure data revealed that clusters of CAAP interactions (CCAAP boxes) are predominantly found in all PPI sites. Analysis of all amino acid pairings in the CCAAP boxes unveiled amino acid-pairing preferences and patterns for PPI that allowed us to develop a new method for designing an oligopeptide sequence to bind to a chosen polypeptide sequence of any target protein.

CONCLUSIONS

Discoveries in the present study provide proof of the CCAAP principle.

Genetic Code Optimization for Cotranslational Protein Folding: Codon Directional Asymmetry Correlates with Antiparallel Betasheets, tRNA Synthetase Classes

A new codon property, codon directional asymmetry in nucleotide content (CDA), reveals a biologically meaningful genetic code dimension: palindromic codons (first and last nucleotides identical, codon structure XZX) are symmetric (CDA = 0), codons with structures ZXX/XXZ are 5'/3' asymmetric (CDA = - 1/1; CDA = - 0.5/0.5 if Z and X are both purines or both pyrimidines, assigning negative/positive (-/+) signs is an arbitrary convention). Negative/positive CDAs associate with (a) Fujimoto's tetrahedral codon stereo-table; (b) tRNA synthetase class I/II (aminoacylate the 2'/3' hydroxyl group of the tRNA's last ribose, respectively); and (c) high/low antiparallel (not parallel) betasheet conformation parameters. Preliminary results suggest CDA-whole organism associations (body temperature, developmental stability, lifespan). Presumably, CDA impacts spatial kinetics of codon-anticodon interactions, affecting cotranslational protein folding. Some synonymous codons have opposite CDA sign (alanine, leucine, serine, and valine), putatively explaining how synonymous mutations sometimes affect protein function. Correlations between CDA and tRNA synthetase classes are weaker than between CDA and antiparallel betasheet conformation parameters. This effect is stronger for mitochondrial genetic codes, and potentially drives mitochondrial codon-amino acid reassignments. CDA reveals information ruling nucleotide-protein relations embedded in reversed (not reverse-complement) sequences (5'-ZXX-3'/5'-XXZ-3').

A simple three-step method for design and affinity testing of new antisense peptides: an example of erythropoietin

Antisense peptide technology is a valuable tool for deriving new biologically active molecules and performing peptide-receptor modulation. It is based on the fact that peptides specified by the complementary (antisense) nucleotide sequences often bind to each other with a higher specificity and efficacy. We tested the validity of this concept on the example of human erythropoietin, a well-characterized and pharmacologically relevant hematopoietic growth factor. The purpose of the work was to present and test simple and efficient three-step procedure for the design of an antisense peptide targeting receptor-binding site of human erythropoietin. Firstly, we selected the carboxyl-terminal receptor binding region of the molecule (epitope) as a template for the antisense peptide modeling; Secondly, we designed an antisense peptide using mRNA transcription of the epitope sequence in the 3'→5' direction and computational screening of potential paratope structures with BLAST; Thirdly, we evaluated sense-antisense (epitope-paratope) peptide binding and affinity by means of fluorescence spectroscopy and microscale thermophoresis. Both methods showed similar Kd values of 850 and 816 µM, respectively. The advantages of the methods were: fast screening with a small quantity of the sample needed, and measurements done within the range of physicochemical parameters resembling physiological conditions. Antisense peptides targeting specific erythropoietin region(s) could be used for the development of new immunochemical methods. Selected antisense peptides with optimal affinity are potential lead compounds for the development of novel diagnostic substances, biopharmaceuticals and vaccines.

Prediction of physical-chemical properties of amino acids from genetic code

Using the crystal basis model of the genetic code, a set of relations between the physical-chemical properties of the amino acids are derived and compared with the experimental data. A prediction for the not yet measured thermodynamical parameters of three amino acids is done.

Discovery of proteomic code with mRNA assisted protein folding

The 3x redundancy of the Genetic Code is usually explained as a necessity to increase the mutation-resistance of the genetic information. However recent bioinformatical observations indicate that the redundant Genetic Code contains more biological information than previously known and which is additional to the 64/20 definition of amino acids. It might define the physico-chemical and structural properties of amino acids, the codon boundaries, the amino acid co-locations (interactions) in the coded proteins and the free folding energy of mRNAs. This additional information, which seems to be necessary to determine the 3D structure of coding nucleic acids as well as the coded proteins, is known as the Proteomic Code and mRNA Assisted Protein Folding.

The Proteomic Code: a molecular recognition code for proteins

Background

The Proteomic Code is a set of rules by which information in genetic material is transferred into the physico-chemical properties of amino acids. It determines how individual amino acids interact with each other during folding and in specific protein-protein interactions. The Proteomic Code is part of the redundant Genetic Code.

Review

The 25-year-old history of this concept is reviewed from the first independent suggestions by Biro and Mekler, through the works of Blalock, Root-Bernstein, Siemion, Miller and others, followed by the discovery of a Common Periodic Table of Codons and Nucleic Acids in 2003 and culminating in the recent conceptualization of partial complementary coding of interacting amino acids as well as the theory of the nucleic acid-assisted protein folding.

Methods and conclusions

A novel cloning method for the design and production of specific, high-affinity-reacting proteins (SHARP) is presented. This method is based on the concept of proteomic codes and is suitable for large-scale, industrial production of specifically interacting peptides.

On the structural regularity in nucleobases and amino acids and relationship to the origin and evolution of the genetic code

To explore how chemical structures of both nucleobases and amino acids may have played a role in shaping the genetic code, numbers of sp2 hybrid nitrogen atoms in nucleobases were taken as a determinative measure for empirical stereo-electronic property to analyze the genetic code. Results revealed that amino acid hydropathy correlates strongly with the sp2 nitrogen atom numbers in nucleobases rather than with the overall electronic property such as redox potentials of the bases, reflecting that stereo-electronic property of bases may play a role. In the rearranged code, five simple but stereo-structurally distinctive amino acids (Gly, Pro, Val, Thr and Ala) and their codon quartets form a crossed intersection "core". Secondly, a re-categorization of the amino acids according to their beta-carbon stereochemistry, verified by charge density (at beta-carbon) calculation, results in five groups of stereo-structurally distinctive amino acids, the group leaders of which are Gly, Pro, Val, Thr and Ala, remarkably overlapping the above "core". These two lines of independent observations provide empirical arguments for a contention that a seemingly "frozen" "core" could have formed at a certain evolutionary stage. The possible existence of this codon "core" is in conformity with a previous evolutionary model whereby stereochemical interactions may have shaped the code. Moreover, the genetic code listed in UCGA succession together with this codon "core" has recently facilitated an identification of the unprecedented icosikaioctagon symmetry and bi-pyramidal nature of the genetic code.

New insights that link microbes with the generation of antineutrophil cytoplasmic autoantibodies: the theory of autoantigen complementarity

PURPOSE OF REVIEW

Reviewed are recent discoveries that provide insights into novel mechanisms involved in the aetiology and pathology of anti-neutrophil cytoplasmic autoantibodies (ANCA) disease.

RECENT FINDINGS

Gene expression profiles of circulating leukocytes from anti-neutrophil cytoplasmic autoantibody immunogenesis patients revealed high levels of proteinase 3 (PR3) and myeloperoxidase (MPO) mRNA. Combined with reports of increased expression of these proteins, it appears that increased antigen availability is a pathologic component of anti-neutrophil cytoplasmic autoantibody immunogenesis disease, which might be equally as important as the presence of anti-MPO or anti-PR3 autoantibodies. Genetic predisposition to develop anti-neutrophil cytoplasmic autoantibody immunogenesis disease may include a polymorphism in the promoter region of the PR3 gene. Signalling pathways affected by anti-neutrophil cytoplasmic autoantibody immunogenesis binding to neutrophils involve the p21 pathway. Lastly, a topic discussed at length in this review is the seminal observation that PR3-ANCA patients harbour antibodies reactive with a protein produced from PR3-antisense RNA, whose amino acid sequence has homologies with proteins from many microbes and viruses. Delineated in the Theory of Autoantigen Complementarity, it is proposed that the initiator of an autoimmune response is not the autoantigen, but instead is a protein that is 'antisense' or complementary to the autoantigen (e.g. from bacteria or PR3).

SUMMARY

The progress in research efforts in the past year, including the identification of complementary proteins as a potential cause of anti-neutrophil cytoplasmic autoantibody immunogenesis, should highly impact future approaches therapeutic intervention.

Peptide self-aggregation and peptide complementarity as bases for the evolution of peptide receptors: a review

This paper reviews the three major theories of peptide receptor evolution: (1) Dwyer's theory that peptide receptors evolved from self-aggregating peptides; (2) Root-Bernstein's theory that peptide receptors evolved from functionally and structurally complementary peptides; and (3) Blalock's theory that receptors evolved from hydropathically complementary sequences encoded in the antisense strand of the DNA encoding each peptide. The evidence to date suggests that the co-yevolution of peptides and their receptors is strongly constrained by one or more of these physicochemically based mechanisms, which argues against a random or frozen accident' model. The data also suggest that structure and function are integrally related from the earliest steps of receptor-ligand evolution so that peptide functionality is non-random and highly conserved in its origin. The result is a molecular paleontology' that reveals the evolutionary constraints that shaped the interaction of structure and function.

The origin of the genetic code: theories and their relationships, a review

A review of the main theories proposed to explain the origin of the genetic code is presented. I analyze arguments and data in favour of different theories proposed to explain the origin of the organization of the genetic code. It is possible to suggest a mechanism that makes compatible the different theories of the origin of the code, even if these are based on a historical or physicochemical determinism and thus appear incompatible by definition. Finally, I discuss the question of why a given number of synonymous codons was attributed to the amino acids in the genetic code.

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.

The genetic code as a periodic table: algebraic aspects

The systematics of indices of physico-chemical properties of codons and amino acids across the genetic code are examined. Using a simple numerical labelling scheme for nucleic acid bases, A=(-1,0), C=(0,-1), G=(0,1), U=(1,0), data can be fitted as low order polynomials of the six coordinates in the 64-dimensional codon weight space. The work confirms and extends the recent studies by Siemion et al. (1995. BioSystems 36, 231-238) of the conformational parameters. Fundamental patterns in the data such as codon periodicities, and related harmonics and reflection symmetries, are here associated with the structure of the set of basis monomials chosen for fitting. Results are plotted using the Siemion one-step mutation ring scheme, and variants thereof. The connections between the present work, and recent studies of the genetic code structure using dynamical symmetry algebras, are pointed out.

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.

Self-programmable, self-assembling two-dimensional genetic matter

Putative two-dimensional coding systems can be constructed from aqueous solutions of purine and pyrimidine nucleic acid bases evaporated at moderate temperatures on the surfaces of inorganic solids. The resultant structures are monolayers which are formed spontaneously by molecular self-assembly and they have been observed with molecular resolution by scanning tunnelling microscopy (STM). When formed from solutions of a single base, the monolayers of adenine and uracil have crystalline characteristics and the STM images can be interpreted in terms of the geometrical placement of planar arranged molecules that interact laterally by intermolecular hydrogen bonding. When formed from solutions containing a mixture of adenine and uracil, the monolayers have aperiodic structures. Small crystalline domains within these monolayers can be interpreted in terms of the single phase configurations of the molecules and the remaining aperiodic structures can presumably be interpreted, geometrically, in terms of the 21 theoretically possible adenine-adenine, uracil-uracil and adenine-uracil hydrogen bonding interactions. We propose that combinatorial arrangements of planar arranged purine and pyrimidine bases could provide the necessary complexity to act as a primitive genetic mechanism and may have relevance to the origin of life.

A new algorithm for analysis of the homology in protein primary structure

A new algorithm for analysis of the homology and genetic semihomology in protein sequence is described. It assumes the close relation between the compared amino acids and their codons in related proteins. The algorithm is based on the network of the genetic relationship between amino acids and, thus differs from the commonly used statistical matrices. The results obtained by using this method are more comprehensive than used at present, and reflect the actual mechanism of protein differentiation and evolution. They concern: (1) location of homologous and semihomologous sites in compared proteins; (2) precise estimation of insertion/deletion gaps in non-homologous fragments; (3) analysis of internal homology and semihomology; (4) precise location of domains in multidomain proteins; (5) estimation of genetic code of non-homologous fragments; (6) construction of genetic probes; (7) studies on differentiation processes among related proteins; (8) estimation of the degree of relationship among related proteins; (9) studies on the evolution mechanism within homologous protein families and (10) confirmation of actual relationship of sequences showing low degree of homology.

The beta-sheets of proteins, the biosynthetic relationships between amino acids, and the origin of the genetic code

Two forces are generally hypothesised as being responsible for conditioning the origin of the organization of the genetic code: the physicochemical properties of amino acids and their biosynthetic relationships (relationships between precursor and product amino acids). If we assume that the biosynthetic relationships between amino acids were fundamental in defining the genetic code, then it is reasonable to expect that the distribution of physicochemical properties among the amino acids in precursor-product relationships cannot be random but must, rather, be affected by some selective constraints imposed by the structure of primitive proteins. Analysis shows that measurements representing the 'size' of amino acids, e.g. bulkiness, are specifically associated to the pairs of amino acids in precurso-product relationships. However, the size of amino acids cannot have been selected per se but, rather, because it reflects the beta-sheets of proteins which are, therefore, identified as the main adaptive theme promoting the origin of genetic code organization. Whereas there are no traces of the alpha-helix in the genetic code table. The above considerations make it necessary to re-examine the relationship linking the hydrophilicity of the dinucleoside monophosphates of anticodons and the polarity and bulkiness of amino acids. It can be concluded that this relationship seems to be meaningful only between the hydrophilicity of anticodons and the polarity of amino acids. The latter relationship is supposed to have been operative on hairpin structures, ancestors of the tRNA molecule. Moreover, it is on these very structures that the biosynthetic links between precursor and product amino acids might have been achieved, and the interaction between the hydrophilicity of anticodons and the polarity of amino acids might have had a role in the concession of codons (anticodons) from precursors to products.

Chou-Fasman conformational amino acid parameters and the genetic code

It was found that the distribution of Chou-Fasman P alpha conformational parameters within the genetic code (arranged into the one-step mutation ring) may be described by a quite simple trigonometric function of mutational angle. The mutational angle is defined as k pi/32, where k is a number of codons count from i under consideration to k. The principal eight-codon periodicity defines the P alpha-genetic code correspondence, but the other perioditicies seem also to modulate the principal function. The eight-codon periodicity finds the explanation in the regular changes of third bases of successive codons. These changes appear in the order; C,U,A,G,G,A,U,C, assigning eight maxima and eight minima of P alpha curve. The experimental P alpha values fit well the dependence found, except proline, the amino acid which breaks the regular eight-codon P alpha periodicity. The analysis of dependence obtained suggest that, in agreement with the hypothesis of Jukes (1973), arginine CGR and AGR codons could be in an earlier genetic code used for coding of ornithine.

Compositional frequencies of amino acids in the proteins and the genetic code

It was found that amino acid compositional frequencies in proteins demonstrate a pseudosymmetry pattern in respect of the genetic code arrangement as we discussed in earlier papers (Siemion and Stefanowicz, 1992a, BioSystems, 27, 77-84; Siemion and Stefanowicz, 1992b, Bull. Pol. Acad. Sci., Chem. 40, 11-20; Siemion, 1994, BioSystems, 32, 25-35). The type of pseudosymmetry observed is very similar to that found in the changes of Chou-Fasman P alpha conformational parameters within the genetic code arrangement. It is also shown that the compositional frequencies of amino acids belonging to the 'G' and 'C' families of codons (excluding UCN Ser codons) change linearly with the sequence of the one-step mutations expected by our arrangement of proper codons.

The regularity of changes of the Chou-Fasman parameters within the genetic code

It has been shown that Chou-Fasman conformational parameters of amino acids, which reflect their ability to adopt a definite conformation within the peptide chain, change very regularly within the genetic code, arranged in the manner discussed recently by Siemion and Stefanowicz (1992a) (BioSystems 27, 77-84). Two mutually perpendicular C2 axes of pseudosymmetry appear in the center of the diagrams (between ACY and ACR threonine codons) presenting the changes of P alpha and P beta parameters. The left and right parts of diagrams superimpose on each other quite well when the symmetry operation involving a proper axis is performed. This phenomenon is due, in our opinion, to the regular arrangement of equivalent codons in the 'one-step mutation' ring formed by 64 triplets of the genetic code.