Selection of amino acid parameters for Fourier transform-based analysis of proteins
Samo za registrovane korisnike
1996
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
Fourier analysis of the parametric profile of a sequence for the detection and localization of the structural motifs that are characteristic for biologically related proteins has been proposed. In order to select parameters that are most appropriate for this analysis, the informational capacity of 226 physicochemical, thermodynamic, structural and statistical amino acid parameters was analyzed. Based on the results, obtained for the four functionally unrelated protein model groups (lysozyme c, HIV-1 gp120, tubulin and tau proteins, and steroid hormone receptors), the electron-ion interaction potential has been selected as the unique amino acid property that can be used in Fourier transform-based analysis of proteins, independently of their biological function.
Izvor:
Computer Applications in the Biosciences, 1996, 12, 6, 553-562Finansiranje / projekti:
- Fund for Scientific Research of Serbian Republic
DOI: 10.1093/bioinformatics/12.6.553
ISSN: 0266-7061
PubMed: 9021277
WoS: A1996WE38600017
Scopus: 2-s2.0-0030449549
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Institucija/grupa
VinčaTY - JOUR AU - Lazović, Jadranka PY - 1996 UR - https://vinar.vin.bg.ac.rs/handle/123456789/2042 AB - Fourier analysis of the parametric profile of a sequence for the detection and localization of the structural motifs that are characteristic for biologically related proteins has been proposed. In order to select parameters that are most appropriate for this analysis, the informational capacity of 226 physicochemical, thermodynamic, structural and statistical amino acid parameters was analyzed. Based on the results, obtained for the four functionally unrelated protein model groups (lysozyme c, HIV-1 gp120, tubulin and tau proteins, and steroid hormone receptors), the electron-ion interaction potential has been selected as the unique amino acid property that can be used in Fourier transform-based analysis of proteins, independently of their biological function. T2 - Computer Applications in the Biosciences T1 - Selection of amino acid parameters for Fourier transform-based analysis of proteins VL - 12 IS - 6 SP - 553 EP - 562 DO - 10.1093/bioinformatics/12.6.553 UR - https://hdl.handle.net/21.15107/rcub_vinar_2042 ER -
@article{ author = "Lazović, Jadranka", year = "1996", abstract = "Fourier analysis of the parametric profile of a sequence for the detection and localization of the structural motifs that are characteristic for biologically related proteins has been proposed. In order to select parameters that are most appropriate for this analysis, the informational capacity of 226 physicochemical, thermodynamic, structural and statistical amino acid parameters was analyzed. Based on the results, obtained for the four functionally unrelated protein model groups (lysozyme c, HIV-1 gp120, tubulin and tau proteins, and steroid hormone receptors), the electron-ion interaction potential has been selected as the unique amino acid property that can be used in Fourier transform-based analysis of proteins, independently of their biological function.", journal = "Computer Applications in the Biosciences", title = "Selection of amino acid parameters for Fourier transform-based analysis of proteins", volume = "12", number = "6", pages = "553-562", doi = "10.1093/bioinformatics/12.6.553", url = "https://hdl.handle.net/21.15107/rcub_vinar_2042" }
Lazović, J.. (1996). Selection of amino acid parameters for Fourier transform-based analysis of proteins. in Computer Applications in the Biosciences, 12(6), 553-562. https://doi.org/10.1093/bioinformatics/12.6.553 https://hdl.handle.net/21.15107/rcub_vinar_2042
Lazović J. Selection of amino acid parameters for Fourier transform-based analysis of proteins. in Computer Applications in the Biosciences. 1996;12(6):553-562. doi:10.1093/bioinformatics/12.6.553 https://hdl.handle.net/21.15107/rcub_vinar_2042 .
Lazović, Jadranka, "Selection of amino acid parameters for Fourier transform-based analysis of proteins" in Computer Applications in the Biosciences, 12, no. 6 (1996):553-562, https://doi.org/10.1093/bioinformatics/12.6.553 ., https://hdl.handle.net/21.15107/rcub_vinar_2042 .