Antisense Peptide Technology for Diagnostic Tests and Bioengineering Research

Antisense peptide technology (APT) is based on a useful heuristic algorithm for rational peptide design. It was deduced from empirical observations that peptides consisting of complementary (sense and antisense) amino acids interact with higher probability and affinity than the randomly selected one...

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Main Authors: Nikola Štambuk, Paško Konjevoda, Josip Pavan
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/22/17/9106
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spelling doaj-d8c6ca34e6b740d78371b7a9496a9a2d2021-09-09T13:46:35ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672021-08-01229106910610.3390/ijms22179106Antisense Peptide Technology for Diagnostic Tests and Bioengineering ResearchNikola Štambuk0Paško Konjevoda1Josip Pavan2Center for Nuclear Magnetic Resonance, Ruđer Bošković Institute, Bijenička cesta 54, HR-10000 Zagreb, CroatiaLaboratory for Epigenomics, Division of Molecular Medicine, Ruđer Bošković Institute, Bijenička cesta 54, HR-10000 Zagreb, CroatiaDepartment of Ophthalmology, University Hospital Dubrava, Avenija Gojka Šuška 6, HR-10000 Zagreb, CroatiaAntisense peptide technology (APT) is based on a useful heuristic algorithm for rational peptide design. It was deduced from empirical observations that peptides consisting of complementary (sense and antisense) amino acids interact with higher probability and affinity than the randomly selected ones. This phenomenon is closely related to the structure of the standard genetic code table, and at the same time, is unrelated to the direction of its codon sequence translation. The concept of <i>complementary peptide interaction</i> is discussed, and its possible applications to diagnostic tests and bioengineering research are summarized. Problems and difficulties that may arise using APT are discussed, and possible solutions are proposed. The methodology was tested on the example of SARS-CoV-2. It is shown that the CABS-dock server accurately predicts the binding of antisense peptides to the SARS-CoV-2 receptor binding domain without requiring predefinition of the binding site. It is concluded that the benefits of APT outweigh the costs of random peptide screening and could lead to considerable savings in time and resources, especially if combined with other computational and immunochemical methods.https://www.mdpi.com/1422-0067/22/17/9106antisensecomplementarypeptidebindinggenetic codetechnology
collection DOAJ
language English
format Article
sources DOAJ
author Nikola Štambuk
Paško Konjevoda
Josip Pavan
spellingShingle Nikola Štambuk
Paško Konjevoda
Josip Pavan
Antisense Peptide Technology for Diagnostic Tests and Bioengineering Research
International Journal of Molecular Sciences
antisense
complementary
peptide
binding
genetic code
technology
author_facet Nikola Štambuk
Paško Konjevoda
Josip Pavan
author_sort Nikola Štambuk
title Antisense Peptide Technology for Diagnostic Tests and Bioengineering Research
title_short Antisense Peptide Technology for Diagnostic Tests and Bioengineering Research
title_full Antisense Peptide Technology for Diagnostic Tests and Bioengineering Research
title_fullStr Antisense Peptide Technology for Diagnostic Tests and Bioengineering Research
title_full_unstemmed Antisense Peptide Technology for Diagnostic Tests and Bioengineering Research
title_sort antisense peptide technology for diagnostic tests and bioengineering research
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1661-6596
1422-0067
publishDate 2021-08-01
description Antisense peptide technology (APT) is based on a useful heuristic algorithm for rational peptide design. It was deduced from empirical observations that peptides consisting of complementary (sense and antisense) amino acids interact with higher probability and affinity than the randomly selected ones. This phenomenon is closely related to the structure of the standard genetic code table, and at the same time, is unrelated to the direction of its codon sequence translation. The concept of <i>complementary peptide interaction</i> is discussed, and its possible applications to diagnostic tests and bioengineering research are summarized. Problems and difficulties that may arise using APT are discussed, and possible solutions are proposed. The methodology was tested on the example of SARS-CoV-2. It is shown that the CABS-dock server accurately predicts the binding of antisense peptides to the SARS-CoV-2 receptor binding domain without requiring predefinition of the binding site. It is concluded that the benefits of APT outweigh the costs of random peptide screening and could lead to considerable savings in time and resources, especially if combined with other computational and immunochemical methods.
topic antisense
complementary
peptide
binding
genetic code
technology
url https://www.mdpi.com/1422-0067/22/17/9106
work_keys_str_mv AT nikolastambuk antisensepeptidetechnologyfordiagnostictestsandbioengineeringresearch
AT paskokonjevoda antisensepeptidetechnologyfordiagnostictestsandbioengineeringresearch
AT josippavan antisensepeptidetechnologyfordiagnostictestsandbioengineeringresearch
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