Investigation into the effects of an individual amino acid on protein function by means of a resonant recognition model

Charalambos Chrysostomou; Huseyin Seker; Nizamettin Aydin

doi:10.1007/978-3-642-24082-9_28

Investigation into the effects of an individual amino acid on protein function by means of a resonant recognition model

Charalambos Chrysostomou
, Huseyin Seker^*
, Nizamettin Aydin

^*Corresponding author for this work

De Montfort University
Yildiz Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Upon identification of a new protein it is important to single out these amino acids responsible for the structural classification of the protein as well as the amino acids contributing to the protein's specific biological characterisation. A novel approach is presented to identify and quantify this cause and effect relationship between amino acid and protein. This exploits the Common Frequency Peak (CFP) that it extracts from the Resonant Recognition Model (RRM). Applicability and robustness of the method are shown on a case study where five different protein families of the influenza A virus Neuraminidase (NA) genes are studied. They include H1N1, H1N2, H2N2, H3N2 and H5N1. The analyses identified five segments, namely three between H1N1 and H5N1 and two between H1N2, H2N2 and H3N2 and suggested that they play a key role in Influenza A NA gene functionality and can potentially be considered as target areas for future antiviral drugs and vaccines such as neuraminidase inhibitors.

Original language	English
Title of host publication	Convergence and Hybrid Information Technology - 5th International Conference, ICHIT 2011, Proceedings
Pages	229-236
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-24082-9_28
Publication status	Published - 2011
Externally published	Yes
Event	5th International Conference on Convergence and Hybrid Information Technology, ICHIT 2011 - Daejeon, Korea, Republic of Duration: 22 Sept 2011 → 24 Sept 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6935 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Convergence and Hybrid Information Technology, ICHIT 2011
Country/Territory	Korea, Republic of
City	Daejeon
Period	22/09/11 → 24/09/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Discrete Fourier Transform
Effects of individual amino acids
Influenza A Virus
Neuraminidase
Resonant Recognition Model

Access to Document

10.1007/978-3-642-24082-9_28

Cite this

Chrysostomou, C., Seker, H., & Aydin, N. (2011). Investigation into the effects of an individual amino acid on protein function by means of a resonant recognition model. In Convergence and Hybrid Information Technology - 5th International Conference, ICHIT 2011, Proceedings (pp. 229-236). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6935 LNCS). https://doi.org/10.1007/978-3-642-24082-9_28

Chrysostomou, Charalambos ; Seker, Huseyin ; Aydin, Nizamettin. / Investigation into the effects of an individual amino acid on protein function by means of a resonant recognition model. Convergence and Hybrid Information Technology - 5th International Conference, ICHIT 2011, Proceedings. 2011. pp. 229-236 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Investigation into the effects of an individual amino acid on protein function by means of a resonant recognition model",

abstract = "Upon identification of a new protein it is important to single out these amino acids responsible for the structural classification of the protein as well as the amino acids contributing to the protein's specific biological characterisation. A novel approach is presented to identify and quantify this cause and effect relationship between amino acid and protein. This exploits the Common Frequency Peak (CFP) that it extracts from the Resonant Recognition Model (RRM). Applicability and robustness of the method are shown on a case study where five different protein families of the influenza A virus Neuraminidase (NA) genes are studied. They include H1N1, H1N2, H2N2, H3N2 and H5N1. The analyses identified five segments, namely three between H1N1 and H5N1 and two between H1N2, H2N2 and H3N2 and suggested that they play a key role in Influenza A NA gene functionality and can potentially be considered as target areas for future antiviral drugs and vaccines such as neuraminidase inhibitors.",

keywords = "Discrete Fourier Transform, Effects of individual amino acids, Influenza A Virus, Neuraminidase, Resonant Recognition Model",

author = "Charalambos Chrysostomou and Huseyin Seker and Nizamettin Aydin",

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doi = "10.1007/978-3-642-24082-9\_28",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Chrysostomou, C, Seker, H & Aydin, N 2011, Investigation into the effects of an individual amino acid on protein function by means of a resonant recognition model. in Convergence and Hybrid Information Technology - 5th International Conference, ICHIT 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6935 LNCS, pp. 229-236, 5th International Conference on Convergence and Hybrid Information Technology, ICHIT 2011, Daejeon, Korea, Republic of, 22/09/11. https://doi.org/10.1007/978-3-642-24082-9_28

Investigation into the effects of an individual amino acid on protein function by means of a resonant recognition model. / Chrysostomou, Charalambos; Seker, Huseyin; Aydin, Nizamettin.
Convergence and Hybrid Information Technology - 5th International Conference, ICHIT 2011, Proceedings. 2011. p. 229-236 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6935 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Chrysostomou, Charalambos

AU - Seker, Huseyin

AU - Aydin, Nizamettin

PY - 2011

Y1 - 2011

N2 - Upon identification of a new protein it is important to single out these amino acids responsible for the structural classification of the protein as well as the amino acids contributing to the protein's specific biological characterisation. A novel approach is presented to identify and quantify this cause and effect relationship between amino acid and protein. This exploits the Common Frequency Peak (CFP) that it extracts from the Resonant Recognition Model (RRM). Applicability and robustness of the method are shown on a case study where five different protein families of the influenza A virus Neuraminidase (NA) genes are studied. They include H1N1, H1N2, H2N2, H3N2 and H5N1. The analyses identified five segments, namely three between H1N1 and H5N1 and two between H1N2, H2N2 and H3N2 and suggested that they play a key role in Influenza A NA gene functionality and can potentially be considered as target areas for future antiviral drugs and vaccines such as neuraminidase inhibitors.

AB - Upon identification of a new protein it is important to single out these amino acids responsible for the structural classification of the protein as well as the amino acids contributing to the protein's specific biological characterisation. A novel approach is presented to identify and quantify this cause and effect relationship between amino acid and protein. This exploits the Common Frequency Peak (CFP) that it extracts from the Resonant Recognition Model (RRM). Applicability and robustness of the method are shown on a case study where five different protein families of the influenza A virus Neuraminidase (NA) genes are studied. They include H1N1, H1N2, H2N2, H3N2 and H5N1. The analyses identified five segments, namely three between H1N1 and H5N1 and two between H1N2, H2N2 and H3N2 and suggested that they play a key role in Influenza A NA gene functionality and can potentially be considered as target areas for future antiviral drugs and vaccines such as neuraminidase inhibitors.

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KW - Effects of individual amino acids

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KW - Neuraminidase

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Convergence and Hybrid Information Technology - 5th International Conference, ICHIT 2011, Proceedings

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Y2 - 22 September 2011 through 24 September 2011

ER -

Chrysostomou C, Seker H, Aydin N. Investigation into the effects of an individual amino acid on protein function by means of a resonant recognition model. In Convergence and Hybrid Information Technology - 5th International Conference, ICHIT 2011, Proceedings. 2011. p. 229-236. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-24082-9_28

Investigation into the effects of an individual amino acid on protein function by means of a resonant recognition model

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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