Abstract

BackgroundWith the classical, active-site oriented drug-development approach reaching its limits, protein ligand-binding sites in general and allosteric sites in particular are increasingly attracting the interest of medicinal chemists in the search for new types of targets and strategies to drug development. Given that allostery represents one of the most common and powerful means to regulate protein function, the traditional drug discovery approach of targeting active sites can be extended by targeting allosteric or regulatory protein pockets that may allow the discovery of not only novel drug-like inhibitors, but activators as well. The wealth of available protein structural data can be exploited to further increase our understanding of allosterism, which in turn may have therapeutic applications. A first step in this direction is to identify and characterize putative effector sites that may be present in already available structural data.ResultsWe performed a large-scale study of protein cavities as potential allosteric and functional sites, by integrating publicly available information on protein sequences, structures and active sites for more than a thousand protein families. By identifying common pockets across different structures of the same protein family we developed a method to measure the pocket's structural conservation. The method was first parameterized using known active sites. We characterized the predicted pockets in terms of sequence and structural conservation, backbone flexibility and electrostatic potential. Although these different measures do not tend to correlate, their combination is useful in selecting functional and regulatory sites, as a detailed analysis of a handful of protein families shows. We finally estimated the numbers of potential allosteric or regulatory pockets that may be present in the data set, finding that pockets with putative functional and effector characteristics are widespread across protein families.ConclusionsOur results show that structurally conserved pockets are a common feature of protein families. The structural conservation of protein pockets, combined with other characteristics, can be exploited in drug discovery procedures, in particular for the selection of the most appropriate target protein and pocket for the design of drugs against entire protein families or subfamilies (e.g. for the development of broad-spectrum antimicrobials) or against a specific protein (e.g. in attempting to reduce side effects).

Highlights

  • With the classical, active-site oriented drug-development approach reaching its limits, protein ligandbinding sites in general and allosteric sites in particular are increasingly attracting the interest of medicinal chemists in the search for new types of targets and strategies to drug development

  • To partially cope with the inherent bias present in the Protein Data Bank (PDB), where proteins tend to be over- or under-represented [28], we selected a set of representative structures for each protein family

  • If the active site is well conserved across the whole protein family, an ideal clustering method would include all active sites of the different structures in the same cluster, without including any non-active site pockets

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Summary

Introduction

Active-site oriented drug-development approach reaching its limits, protein ligandbinding sites in general and allosteric sites in particular are increasingly attracting the interest of medicinal chemists in the search for new types of targets and strategies to drug development. Given that allostery represents one of the most common and powerful means to regulate protein function, the traditional drug discovery approach of targeting active sites can be extended by targeting allosteric or regulatory protein pockets that may allow the discovery of novel drug-like inhibitors, but activators as well. Proteins play a fundamental role in almost all biological processes, and their overall activity is regulated at different levels [1]. The concentration of a particular protein in the cell is regulated through its synthesis rate (gene expression) and its degradation rate. Allosteric regulation has been studied for more than 50 years and it is considered the most powerful and common way to regulate protein activity [2].

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