iPBA: a tool for protein structure comparison using sequence alignment strategies


Autoria(s): Gelly, Jean-Christophe; Joseph, Agnel Praveen; Srinivasan, Narayanaswamy; de Brevern, Alexandre G
Data(s)

01/07/2011

Resumo

With the immense growth in the number of available protein structures, fast and accurate structure comparison has been essential. We propose an efficient method for structure comparison, based on a structural alphabet. Protein Blocks (PBs) is a widely used structural alphabet with 16 pentapeptide conformations that can fairly approximate a complete protein chain. Thus a 3D structure can be translated into a 1D sequence of PBs. With a simple Needleman-Wunsch approach and a raw PB substitution matrix, PB-based structural alignments were better than many popular methods. iPBA web server presents an improved alignment approach using (i) specialized PB Substitution Matrices (SM) and (ii) anchor-based alignment methodology. With these developments, the quality of similar to 88% of alignments was improved. iPBA alignments were also better than DALI, MUSTANG and GANGSTA(+) in > 80% of the cases. The webserver is designed to for both pairwise comparisons and database searches. Outputs are given as sequence alignment and superposed 3D structures displayed using PyMol and Jmol. A local alignment option for detecting subs-structural similarity is also embedded. As a fast and efficient `sequence-based' structure comparison tool, we believe that it will be quite useful to the scientific community. iPBA can be accessed at http://www.dsimb.inserm.fr/dsimb_tools/ipba/.

Formato

application/pdf

Identificador

http://eprints.iisc.ernet.in/39188/1/iPBA.pdf

Gelly, Jean-Christophe and Joseph, Agnel Praveen and Srinivasan, Narayanaswamy and de Brevern, Alexandre G (2011) iPBA: a tool for protein structure comparison using sequence alignment strategies. In: Nucleic Acids Research, 39 (2). W18-W23.

Publicador

Oxford University Press

Relação

http://nar.oxfordjournals.org/content/39/suppl_2/W18

http://eprints.iisc.ernet.in/39188/

Palavras-Chave #Molecular Biophysics Unit
Tipo

Journal Article

PeerReviewed