DocumentCode
415740
Title
Dihedral angle database based on disulfide bonds
Author
Dayalan, Saravanan ; Bevinakoppa, Savitri
Author_Institution
Sch. of Comput. Sci. & Inf. Technol., R. Melbourne Inst. of Technol. Univ., Vic., Australia
fYear
2004
fDate
19-21 May 2004
Firstpage
442
Lastpage
448
Abstract
Dihedral angle databases are protein databases that store all occurring dihedral angle (phi, psi) values of amino acids in proteins. None of the existing dihedral angle databases have classified their data based on an important bonding characteristic of proteins called disulfide bonds. In this paper, using statistical analysis, the need to classify values in a dihedral angle database based on disulfide bonds is shown. This paper discusses how our dihedral angle database (DAB) is classified into two; dihedral database (DABSS) having proteins with at least one disulfide bond and dihedral database (DABNSS) having proteins without any disulfide bonds. Statistical analysis is used to show that the dihedral values (and hence the structure) of sub-sequences of amino acids obtained from DABSS are significantly different from their corresponding values in DABNSS, thus justifying the need to classify data based on disulfide bonds. Using statistical analysis to show that the values in DAB are significantly different from the corresponding values in DABSS and DABNSS strengthens this justification. Using this analysis and by querying DAB, DABSS and DABNSS it is shown how the values obtained by a protein structure prediction program yields different results and how querying DAB gives mixed results as it contains dihedral values from proteins with and without disulfide bonds together.
Keywords
biochemistry; biology computing; bond angles; chemistry computing; proteins; sequences; statistical databases; amino acids subsequences; database classification; dihedral angle database; disulfide bonds; protein databases; statistical analysis; Amino acids; Australia; Bioinformatics; Bonding; Computer science; Databases; Information technology; Protein sequence; Spine; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Bioengineering, 2004. BIBE 2004. Proceedings. Fourth IEEE Symposium on
Print_ISBN
0-7695-2173-8
Type
conf
DOI
10.1109/BIBE.2004.1317376
Filename
1317376
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