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Secondary Structure Prediction of Amino Acids Using GOR Method: On Different Input Formats - Couverture souple

Bhambri, Pankaj; Bansal, Prerna

 
9783659107306: Secondary Structure Prediction of Amino Acids Using GOR Method: On Different Input Formats
Couverture souple
ISBN 10 : 3659107301 ISBN 13 : 9783659107306
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

The term bioinformatics is related to study of biomolecules information. The informatics techniques are applied to understand and organize the information associated with the molecules. Bioinfromatics is the management of information system for molecular biology and has many practical applications. GOR method based on information theory and bayesian statistics is quite successful in its accuracy of secondary structure prediction. Probabilities of three confirmational states are predicted for each residue in the sequence with the help of GOR method and this information can be used for furthher analysis. These results are acheived when prections are made on single sequence. The developement method is highly stable and consistent when tested against the different DSSP secondary structure reduction methods conducted in this research. Information regarding the secondary structure elements such as helix, sheet and coil that form for a particular sequence of amino acid is distributed across whole window. This information is retrieved from database of 267 proteins.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The term bioinformatics is related to study of biomolecules information. The informatics techniques are applied to understand and organize the information associated with the molecules. Bioinfromatics is the management of information system for molecular biology and has many practical applications. GOR method based on information theory and bayesian statistics is quite successful in its accuracy of secondary structure prediction. Probabilities of three confirmational states are predicted for each residue in the sequence with the help of GOR method and this information can be used for furthher analysis. These results are acheived when prections are made on single sequence. The developement method is highly stable and consistent when tested against the different DSSP secondary structure reduction methods conducted in this research. Information regarding the secondary structure elements such as helix, sheet and coil that form for a particular sequence of amino acid is distributed across whole window. This information is retrieved from database of 267 proteins.

Biographie de l'auteur

Er. Pankaj Bhambri graduated from Dr.B.R. Ambedkar Univ., Agra with B.E. (IT) HONORS in 2003. He completed his M.Tech.(CSE) from P.T.U., Kapurthala at G.N.D.E.C., Ludhiana. His Interest areas are Bioinformatics, Machine Learning and Distributed Computing. He is the recipient of "Best Teacher", "Distinguished ALumni" and "Rashtriya Rattan" Awards.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659107301
ISBN 13 
9783659107306
Reliure
Broché
Nombre de pages
68
Coordonnées du fabricant
non disponible
Personne responsable
non disponible