1,721,047 research outputs found
Protein structural motifs: identification, annotation and use in function prediction
No full textWhile functional motifs are commonly detected and studied in protein sequences, few three-dimensional (3D)
motifs, that is sets of residues spatially close in three dimensions but not necessarily adjacent in the sequence,
have been identified so far, mostly through manual approaches. However, structural motifs may reveal novel
and important functional sites and allow the detection of evolutionary relationships that are often
unrecognizable when the linear amino acid sequence is inspected. The occurrence of similar 3D motifs in
unrelated protein structures can in principle allow the transfer of functional annotation and highlight interesting
examples of independently evolved functional sites (convergent evolution). Furthermore, the increasing number
of experimentally solved protein structures arising from structural genomics projects, oftentimes poorly
annotated, requires structure-based methods for fast and reliable functional inference. Such methods generally
rely on matching regions of the query proteins with structural motifs associated with known biochemical
functions. The systematic and, whenever possible, automatic identification and annotation of new 3D motifs is
an important challenge in bioinformatics. In particular, the compilation of a large and robustly annotated
collection of structural motifs, conceptually similar to the several existing resources for sequence motifs (e.g.
PROSITE (Hulo, et al. 2006), ELM (Gould, et al.), MmM (Balla, et al. 2006), would fill a substantial void in
the field.
This chapter will cover several aspects of structural motifs and discuss both the approaches aimed at
detecting and the procedures used to associate them to a function. The main issues and limitations of the
methodologies based on 3D motif for function prediction will also be discussed
SH3-SPOT:an algorithm to predict preferred ligands to different members of sh3 gene family
No full textWe have developed a procedure to predict the peptide binding specificity of an SH3 domain from its sequence. The procedure utilizes information extracted from position-specific contacts derived from six SH3/peptide or SH3/protein complexes of known structure. The framework of SH3/peptide contacts defined on the structure of the complexes is used to build a residue-residue interaction database derived from ligands obtained by panning peptide libraries displayed on filamentous phage. The SH3-specific interaction database is a multidimensional array containing frequencies of position-specific contacts. As input, SH3-SPOT requires the sequence of an SH3 domain and of a query decapeptide ligand. The array, that we call the SH3-specific matrix, is then used to evaluate the probability that the peptide would bind the given SH3 domain. This procedure is fast enough to be applied to the entire protein sequence database. Panning experiments were performed to search putative specific ligands of different SH3 domains in a database of decapeptides, or in a database of protein sequences. The procedure ranked some of the natural partners of interaction of a number of SH3 domains among the best ligands of the approximately 5. 6x10(9) different decapeptides in the SWISSPROT database. We expect the predictive power of the method to increase with the enrichment of the SH3-specific matrix by interaction data derived from new complex structures or from the characterization of new ligands. The procedure was developed using the SH3 domain family as test case but its application can easily be extended to other families of protein domains (such as, SH2, MHC, EH, PDZ, etc.)
Protein surface similarities: a survey of methods to describe and compare protein surfaces. Cell Mol Life Sci., 57 (13-14):1970-7. Review.
No full textMany methods have been developed to analyse protein sequences and structures, although less work has been undertaken describing and comparing protein surfaces. Evolution can lead sequences to diverge or structures to change topology; nevertheless, surface determinants that are essential to protein function itself may be mantained. Moreover, different molecules could converge to similar functions by gaining specific surface determinants. In such cases, sequence or structure comparisons are likely to be inadequate in describing or identifying protein functions and evolutionary relationships among proteins. Surface analysis can identify function determinants that are independent of sequence or secondary structure and can therefore be a powerful tool to highlight cases of possible convergent or divergent evolution. This kind of approach can be useful for a better understanding of protein molecular and biochemical mechanisms of catalysis or interaction with a ligand, which are usually surface dependent. Protein surface comparison, when compared to sequence or structure comparison methods, is a hard computational challenge and evaluated methods allowing the comparison of protein surfaces are difficult to find. In this review, we will survey the current knowledge about protein surface similarity and the techniques to detect it
A structural study for the optimisation of functional motifs encoded in protein sequences
Full text linkAbstract Background A large number of PROSITE patterns select false positives and/or miss known true positives. It is possible that – at least in some cases – the weak specificity and/or sensitivity of a pattern is due to the fact that one, or maybe more, functional and/or structural key residues are not represented in the pattern. Multiple sequence alignments are commonly used to build functional sequence patterns. If residues structurally conserved in proteins sharing a function cannot be aligned in a multiple sequence alignment, they are likely to be missed in a standard pattern construction procedure. Results Here we present a new procedure aimed at improving the sensitivity and/ or specificity of poorly-performing patterns. The procedure can be summarised as follows: 1. residues structurally conserved in different proteins, that are true positives for a pattern, are identified by means of a computational technique and by visual inspection. 2. the sequence positions of the structurally conserved residues falling outside the pattern are used to build extended sequence patterns. 3. the extended patterns are optimised on the SWISS-PROT database for their sensitivity and specificity. The method was applied to eight PROSITE patterns. Whenever structurally conserved residues are found in the surface region close to the pattern (seven out of eight cases), the addition of information inferred from structural analysis is shown to improve pattern selectivity and in some cases selectivity and sensitivity as well. In some of the cases considered the procedure allowed the identification of functionally interesting residues, whose biological role is also discussed. Conclusion Our method can be applied to any type of functional motif or pattern (not only PROSITE ones) which is not able to select all and only the true positive hits and for which at least two true positive structures are available. The computational technique for the identification of structurally conserved residues is already available on request and will be soon accessible on our web server. The procedure is intended for the use of pattern database curators and of scientists interested in a specific protein family for which no specific or selective patterns are yet available.</p
Investigation of a potential mechanism for the inhibition of SmTGR by Auranofin and its implications for Plasmodium falciparum inhibition
No full textSchistosoma mansoni and Plasmodium falciparum are pathogen parasites that spend part of their lives in the blood stream of the human host and are therefore heavily exposed to fluxes of toxic reactive oxygen species (ROS). SmTGR, an essential enzyme of the S. mansoni ROS detoxification machinery, is known to be inhibited by Auranofin although the inhibition mechanism has not been completely clarified. Auranofin also kills P. falciparum, even if its molecular targets are unknown. Here, we used computational and docking techniques to investigate the molecular mechanism of interaction between SmTGR and Auranofin. Furthermore, we took advantage of the homology relationship and of docking studies to assess if PfTR, the SmTGR malaria parasite homologue, can be a putative target for Auranofin. Our findings support a recently hypothesized molecular mechanism of inhibition for SmTGR and suggest that PfTR is indeed a possible and attractive drug target in P. falciparum. © 2011 Elsevier Inc
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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