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Pregled bibliografske jedinice broj: 927657

Genetic coding algorithm for sense and antisense peptide interactions


Štambuk, Nikola; Konjevoda, Paško; Turčić, Petra; Kövér, Katalin; Novak Kujundžić, Renata; Manojlović, Zoran; Gabričević, Mario
Genetic coding algorithm for sense and antisense peptide interactions // Biosystems, 164 (2018), 199-216 doi:10.1016/j.biosystems.2017.10.009 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 927657 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Genetic coding algorithm for sense and antisense peptide interactions

Autori
Štambuk, Nikola ; Konjevoda, Paško ; Turčić, Petra ; Kövér, Katalin ; Novak Kujundžić, Renata ; Manojlović, Zoran ; Gabričević, Mario

Izvornik
Biosystems (0303-2647) 164 (2018); 199-216

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
gentic code ; complementary sequence ; peptide interaction ; hydrophobic ; lipophilic ; mRNA ; tRNA

Sažetak
Sense and antisense peptides, i.e. peptides specified by complementary DNA and RNA sequences, interact with increased probability. Biro, Blalock, Mekler, Root-Bernstein and Siemion investigated the recognition rules of peptide—peptide interaction based on the complementary coding of DNA and RNA sequences in 3′ → 5′ and 5′ → 3′ directions. After more than three decades of theoretical and experimental investigations, the efficiency of this approach to predict peptide—peptide binding has been experimentally verified for more than 50 ligand—receptor systems, and represents a promising field of research. The natural genetic coding algorithm for sense and antisense peptide interactions combines following elements: of amino acid physico- chemical properties, stereochemical interaction, and bidirectional transcription. The interplay of these factors influences the specificity of sense—antisense peptide interactions, and affects the selection and evolution of peptide ligand—receptor systems. Complementary mRNA codon—tRNA anticodon complexes, and recently discovered Carter- Wolfenden tRNA acceptor-stem code, provide the basis for the rational modeling of peptide interactions based on their hydrophobic and lipophilic amino acid physico-chemical properties. It is shown that the interactions of complementary amino acid pairs according to the hydrophobic and lipophilic properties strongly depend on the central (second) purine base of the mRNA codon and its pyrimidine complement of the tRNA anticodon. This enables the development of new algorithms for the analysis of structure, function and evolution of protein and nucleotide sequences that take into account the residue's tendency to leave water and enter a nonpolar condensed phase considering its mass, size and accessible surface area. The practical applications of the sense—antisense peptide modeling are illustrated using different interaction assay types based on: microscale thermophoresis (MST), tryptophan fluorescence spectroscopy (TFS), nuclear magnetic resonance spectroscopy (NMR), and magnetic particles enzyme immunoassay (MPEIA). Various binding events and circumstances were considered, e.g., in situations with—short antisense peptide ligand (MST), L- and D-enantiomer acceptors (TFS), in low affinity conditions (NMR), and with more than one antisense peptide targeting hormone (MPEIA).

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Temeljne medicinske znanosti, Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)



POVEZANOST RADA


Projekti:
098-0982929-2524 - Modeliranje bioaktivnih molekula i ispitivanje njihovih svojstava i učinka (Štambuk, Nikola, MZOS ) ( POIROT)

Ustanove:
Farmaceutsko-biokemijski fakultet, Zagreb,
Institut "Ruđer Bošković", Zagreb

Citiraj ovu publikaciju

Štambuk, Nikola; Konjevoda, Paško; Turčić, Petra; Kövér, Katalin; Novak Kujundžić, Renata; Manojlović, Zoran; Gabričević, Mario
Genetic coding algorithm for sense and antisense peptide interactions // Biosystems, 164 (2018), 199-216 doi:10.1016/j.biosystems.2017.10.009 (međunarodna recenzija, članak, znanstveni)
Štambuk, N., Konjevoda, P., Turčić, P., Kövér, K., Novak Kujundžić, R., Manojlović, Z. & Gabričević, M. (2018) Genetic coding algorithm for sense and antisense peptide interactions. Biosystems, 164, 199-216 doi:10.1016/j.biosystems.2017.10.009.
@article{article, year = {2018}, pages = {199-216}, DOI = {10.1016/j.biosystems.2017.10.009}, keywords = {gentic code, complementary sequence, peptide interaction, hydrophobic, lipophilic, mRNA, tRNA}, journal = {Biosystems}, doi = {10.1016/j.biosystems.2017.10.009}, volume = {164}, issn = {0303-2647}, title = {Genetic coding algorithm for sense and antisense peptide interactions}, keyword = {gentic code, complementary sequence, peptide interaction, hydrophobic, lipophilic, mRNA, tRNA} }
@article{article, year = {2018}, pages = {199-216}, DOI = {10.1016/j.biosystems.2017.10.009}, keywords = {gentic code, complementary sequence, peptide interaction, hydrophobic, lipophilic, mRNA, tRNA}, journal = {Biosystems}, doi = {10.1016/j.biosystems.2017.10.009}, volume = {164}, issn = {0303-2647}, title = {Genetic coding algorithm for sense and antisense peptide interactions}, keyword = {gentic code, complementary sequence, peptide interaction, hydrophobic, lipophilic, mRNA, tRNA} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Uključenost u ostale bibliografske baze podataka:


  • BIOSIS Previews (Biological Abstracts)
  • CA Search (Chemical Abstracts)
  • Geobase
  • Zoological Record


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