Abstract Background Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Domain Fusion, which has proven to be effective in predicting functional links between proteins. Results Analyzing the structures of multi-domain single-chain peptides, we found that domain pairs located less than 30 residues apart on a chain are almost certain to share a physical interface. The majority of these interactions are also conserved across separate chains. We make use of this observation to improve domain fusion based protein interaction predictions, and demonstrate this by implementing it on a set of Saccharomyces cerevisiae proteins. Conclusion We...
Computational prediction of protein interactions typically use protein domains as classifier feature...
Computational prediction of protein interactions typically use protein domains as classifier feature...
Motivation: Elucidation of the full network of protein–protein interac-tions is crucial for understa...
We explore the fuse of information on co-occurrence of domains in multi-domain proteins in predictin...
Motivation: The current need for high-throughput protein interaction detection has resulted in inter...
Conserved domains carry many of the functional features found in the proteins of an organism. This i...
Discovering interacting proteins has been an essential part of functional genomics. However, existin...
Background: Protein interactions are thought to be largely mediated by interactions between structu...
Background: The development of high-throughput technologies has produced several large scale protein...
[[abstract]]The interaction between proteins is an important feature of protein functions. Behind pr...
Protein domains are conserved and functionally independent structures that play an important role in...
Proteins function through interactions with other molecules. Thus, the network of physical interacti...
The goal of contemporary proteome research is the elucidation of protein interactions in the cell. B...
Peptide-recognition modules (PRMs) are used throughout biology to mediate protein-protein interactio...
In the postgenomic era, one of the most interesting and important challenges is to understand protei...
Computational prediction of protein interactions typically use protein domains as classifier feature...
Computational prediction of protein interactions typically use protein domains as classifier feature...
Motivation: Elucidation of the full network of protein–protein interac-tions is crucial for understa...
We explore the fuse of information on co-occurrence of domains in multi-domain proteins in predictin...
Motivation: The current need for high-throughput protein interaction detection has resulted in inter...
Conserved domains carry many of the functional features found in the proteins of an organism. This i...
Discovering interacting proteins has been an essential part of functional genomics. However, existin...
Background: Protein interactions are thought to be largely mediated by interactions between structu...
Background: The development of high-throughput technologies has produced several large scale protein...
[[abstract]]The interaction between proteins is an important feature of protein functions. Behind pr...
Protein domains are conserved and functionally independent structures that play an important role in...
Proteins function through interactions with other molecules. Thus, the network of physical interacti...
The goal of contemporary proteome research is the elucidation of protein interactions in the cell. B...
Peptide-recognition modules (PRMs) are used throughout biology to mediate protein-protein interactio...
In the postgenomic era, one of the most interesting and important challenges is to understand protei...
Computational prediction of protein interactions typically use protein domains as classifier feature...
Computational prediction of protein interactions typically use protein domains as classifier feature...
Motivation: Elucidation of the full network of protein–protein interac-tions is crucial for understa...