Literature DB >> 11933058

Classification of proteins based on the properties of the ligand-binding site: the case of adenine-binding proteins.

Valentina Cappello1, Anna Tramontano, Uwe Koch.   

Abstract

Comparative analysis of protein binding sites for similar ligands yields information about conserved interactions, relevant for ligand affinity, and variable interactions, which are important for specificity. The pattern of variability can indicate new targets for a pharmacologically validated class of compounds binding to a similar site. A particularly vast group of therapeutically interesting proteins using the same or similar substrates are those that bind adenine-containing ligands. Drug development is focusing on compounds occupying the adenine-binding site and their specificity is an issue of paramount importance. We use a simple scheme to characterize and classify the adenine-binding sites in terms of their intermolecular interactions, and show that this classification does not necessarily correspond to protein classifications based on either sequence or structural similarity. We find that only a limited number of the different hydrogen bond patterns possible for adenine-binding is used, which can be utilized as an effective classification scheme. Closely related protein families usually share similar hydrogen patterns, whereas non-polar interactions are less well conserved. Our classification scheme can be used to select groups of proteins with a similar ligand-binding site, thus facilitating the definition of the properties that can be exploited to design specific inhibitors. Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 11933058     DOI: 10.1002/prot.10070

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  11 in total

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4.  Modular architecture of nucleotide-binding pockets.

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7.  Structural motifs recurring in different folds recognize the same ligand fragments.

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8.  Identification of nucleotide-binding sites in protein structures: a novel approach based on nucleotide modularity.

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Journal:  PLoS One       Date:  2007-05-23       Impact factor: 3.240

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