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Patrick Aloy

Publications and source records attributed to Patrick Aloy.

7 recordsLinked to original sources

InterPreTS: protein interaction prediction through tertiary structure.

SUMMARY: InterPreTS (Interaction Prediction through Tertiary Structure) is a web-based version of our method for predicting protein-protein interactions (Aloy and Russell, 2002, PROC: Natl Acad. Sci. USA, 99, 5896-5901). Given a pair of query sequences, we first search for homologues in a database of interacting domains (DBID) of known three-dimensional complex structures. Pairs of sequences homologous to a known interacting pair are scored for how well they preserve the atomic contacts at the interaction interface. InterPreTS includes a useful interface for visualising molecular details of any predicted interaction. AVAILABILITY: http://www.russell.embl.de/interprets.

Databases, Protein↗

Interrogating protein interaction networks through structural biology.

Protein-protein interactions are central to most biological processes. Although much recent effort has been put into methods to identify interacting partners, there has been a limited focus on how these interactions compare with those known from three-dimensional (3D) structures. Because comparison of protein interactions often involves considering homologous, but not identical, proteins, a key issue is whether proteins that are homologous to an interacting pair will interact in the same way, or interact at all. Accordingly, we describe a method to test putative interactions on complexes of known 3D structure. Given a 3D complex and alignments of homologues of the interacting proteins, we assess the fit of any possible interacting pair on the complex by using empirical potentials. For studies of interacting protein families that show different specificities, the method provides a ranking of interacting pairs useful for prioritizing experiments. We evaluate the method on interacting families of proteins with multiple complex structures. We then consider the fibroblast growth factor/receptor system and explore the intersection between complexes of known structure and interactions proposed between yeast proteins by methods such as two-hybrids. We provide confirmation for several interactions, in addition to suggesting molecular details of how they occur.

Amino Acid Sequence↗

Ribonucleotide reductases: divergent evolution of an ancient enzyme.

Ribonucleotide reductases (RNRs) are uniquely responsible for converting nucleotides to deoxynucleotides in all dividing cells. The three known classes of RNRs operate through a free radical mechanism but differ in the way in which the protein radical is generated. Class I enzymes depend on oxygen for radical generation, class II uses adenosylcobalamin, and the anaerobic class III requires S-adenosylmethionine and an iron-sulfur cluster. Despite their metabolic prominence, the evolutionary origin and relationships between these enzymes remain elusive. This gap in RNR knowledge can, to a major extent, be attributed to the fact that different RNR classes exhibit greatly diverged polypeptide chains, rendering homology assessments inconclusive. Evolutionary studies of RNRs conducted until now have focused on comparison of the amino acid sequence of the proteins, without considering how they fold into space. The present study is an attempt to understand the evolutionary history of RNRs taking into account their three-dimensional structure. We first infer the structural alignment by superposing the equivalent stretches of the three-dimensional structures of representatives of each family. We then use the structural alignment to guide the alignment of all publicly available RNR sequences. Our results support the hypothesis that the three RNR classes diverged from a common ancestor currently represented by the anaerobic class III. Also, lateral transfer appears to have played a significant role in the evolution of this protein family.

Amino Acid Sequence↗

A complex prediction: three-dimensional model of the yeast exosome.

We present a model of the yeast exosome based on the bacterial degradosome component polynucleotide phosphorylase (PNPase). Electron microscopy shows the exosome to resemble PNPase but with key differences likely related to the position of RNA binding domains, and to the location of domains unique to the exosome. We use various techniques to reduce the many possible models of exosome subunits based on PNPase to just one. The model suggests numerous experiments to probe exosome function, particularly with respect to subunits making direct atomic contacts and conserved, possibly functional residues within the predicted central pore of the complex.

Amino Acid Sequence↗

Structural similarity to link sequence space: new potential superfamilies and implications for structural genomics.

The current pace of structural biology now means that protein three-dimensional structure can be known before protein function, making methods for assigning homology via structure comparison of growing importance. Previous research has suggested that sequence similarity after structure-based alignment is one of the best discriminators of homology and often functional similarity. Here, we exploit this observation, together with a merger of protein structure and sequence databases, to predict distant homologous relationships. We use the Structural Classification of Proteins (SCOP) database to link sequence alignments from the SMART and Pfam databases. We thus provide new alignments that could not be constructed easily in the absence of known three-dimensional structures. We then extend the method of Murzin (1993b) to assign statistical significance to sequence identities found after structural alignment and thus suggest the best link between diverse sequence families. We find that several distantly related protein sequence families can be linked with confidence, showing the approach to be a means for inferring homologous relationships and thus possible functions when proteins are of known structure but of unknown function. The analysis also finds several new potential superfamilies, where inspection of the associated alignments and superimpositions reveals conservation of unusual structural features or co-location of conserved amino acids and bound substrates. We discuss implications for Structural Genomics initiatives and for improvements to sequence comparison methods.

Amino Acid Sequence↗