Classification of protein disulphide-bridge topologies.

Abstract:

:The preferential occurrence of certain disulphide-bridge topologies in proteins has prompted us to design a method and a program, KNOT-MATCH, for their classification. The program has been applied to a database of proteins with less than 65% homology and more than two disulphide bridges. We have investigated whether there are topological preferences that can be used to group proteins and if these can be applied to gain insight into the structural or functional relationships among them. The classification has been performed by Density Search and Hierarchical Clustering Techniques, yielding thirteen main protein classes from the superimposition and clustering process. It is noteworthy that besides the disulphide bridges, regular secondary structures and loops frequently become correctly aligned. Although the lack of significant sequence similarity among some clustered proteins precludes the easy establishment of evolutionary relationships, the program permits us to find out important structural or functional residues upon the superimposition of two protein structures apparently unrelated. The derived classification can be very useful for finding relationships among proteins which would escape detection by current sequence or topology-based analytical algorithms.

journal_name

J Comput Aided Mol Des

authors

Mas JM,Aloy P,Martí-Renom MA,Oliva B,de Llorens R,Avilés FX,Querol E

doi

10.1023/a:1011164224144

subject

Has Abstract

pub_date

2001-05-01 00:00:00

pages

477-87

issue

5

eissn

0920-654X

issn

1573-4951

journal_volume

15

pub_type

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