1,720,981 research outputs found
Protein surface similarities: A survey of methods to describe and compare protein surfaces
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
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
Protein surface similarities: a survey of methods to describe and compare protein surfaces
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
Distinct binding specificity of the multiple PDZ Domains of INADL, a human protein with homology to INAD from Drosophila melanogaster
No full textThree-dimensional view of the surface motif associated with the P-loop structure: cis and trans cases of convergent evolution
No full textHere we identify the determinants of the nucleotide-binding ability associated with the P-loop-containing proteins, inferring their functional importance from their structural convergence to a unique three- dimensional (3D) motif. (1) A new surface 3D pattern is identified for the P-loop nucleotide-binding region, which is more selective than the corresponding sequence pattern; (2) the signature displays one residue that we propose is the determinant for the guanine-binding ability (the residues aligned to ras D119; this residue is known to be important only in the G-proteins, we extend the prediction to all the other P-loop- containing proteins); and (3) two cases of convergent evolution at the molecular level are highlighted in the analysis of the active site: the positive charge aligned to ras K117 and the arginine residues aligned to the GAP arginine finger. The analysis of the residues conserved on protein surfaces allows one to identify new functional or evolutionary relationships among protein structures that would not be detectable by conventional sequence or structure comparison methods
3D view of the surface motif associated to the ploop structure: cis and trans cases of convergent evolution. J. Mol. Biol., 303 (4): 455-65.
No full textHere we identify the determinants of the nucleotide-binding ability associated with the P-loop-containing proteins, inferring their functional importance from their structural convergence to a unique three- dimensional (3D) motif. (1) A new surface 3D pattern is identified for the P-loop nucleotide-binding region, which is more selective than the corresponding sequence pattern; (2) the signature displays one residue that we propose is the determinant for the guanine-binding ability (the residues aligned to ras D119; this residue is known to be important only in the G-proteins, we extend the prediction to all the other P-loop- containing proteins); and (3) two cases of convergent evolution at the molecular level are highlighted in the analysis of the active site: the positive charge aligned to ras K117 and the arginine residues aligned to the GAP arginine finger. The analysis of the residues conserved on protein surfaces allows one to identify new functional or evolutionary relationships among protein structures that would not be detectable by conventional sequence or structure comparison methods
Three-dimensional view of the surface motif associated with the P-loop structure: Cis and trans of cases convergent evolution
No full textHere we identify the determinants of the nucleotide-binding ability associated with the P-loop-containing proteins, inferring their functional importance from their structural convergence to a unique three-dimensional (3D) motif. (1) A new surface 3D pattern is identified for the P-loop nucleotide-binding region, which is more selective than the corresponding sequence pattern; (2) the signature displays one residue that we propose is the determinant for the guanine-binding ability (the residues aligned to ras D119; this residue is known to be important only in the G-proteins, we extend the prediction to all the other P-loop-containing proteins); and (3) two cases of convergent evolution at the molecular level are highlighted in the analysis of the active site: the positive charge aligned to ras K117 and the arginine residues aligned to the GAP arginine finger. The analysis of the residues conserved on protein surfaces allows one to identify new functional or evolutionary relationships among protein structures that would not be detectable by conventional sequence or structure comparison methods. (C) 2000 Academic Press
Development of computational tools for the inference of protein interaction specificity rules and functional annotation using structural information.
No full textRelatively few protein structures are known, compared to the enormous amount of sequence data produced in the sequencing of different genomes, and relatively few protein complexes are deposited in the PDB with respect to the great amount of interaction data coming from high-throughput experiments (two-hybrid or affinity purification of protein complexes and mass spectrometry). Nevertheless, we can rely on computational techniques for the extraction of high-quality and information-rich data from the known structures and for their spreading in the protein sequence space. We describe here the ongoing research projects in our group: we analyse the protein complexes stored in the PDB and, for each complex involving one domain belonging to a family of interaction domains for which some interaction data are available, we can calculate its probability of interaction with any protein sequence. We analyse the structures of proteins encoding a function specified in a PROSITE pattern, which exhibits relatively low selectivity and specificity, and build extended patterns. To this aim, we consider residues that are well-conserved in the structure, even if their conservation cannot easily be recognized in the sequence alignment of the proteins holding the function. We also analyse protein surface regions and, through the annotation of the solvent-exposed residues, we annotate protein surface patches via a structural comparison performed with stringent parameters and independently of the residue order in the sequence. Local surface comparison may also help in identifying new sequence patterns, which could not be highlighted with other sequence-based methods
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