DomPep—A General Method for Predicting Modular Domain-Mediated Protein-Protein Interactions

Protein-protein interactions (PPIs) are frequently mediated by the binding of a modular domain in one protein to a short, linear peptide motif in its partner. The advent of proteomic methods such as peptide and protein arrays has led to the accumulation of a wealth of interaction data for modular interaction domains. Although several computational programs have been developed to predict modular domain-mediated PPI events, they are often restricted to a given domain type. We describe DomPep, a method that can potentially be used to predict PPIs mediated by any modular domains. DomPep combines proteomic data with sequence information to achieve high accuracy and high coverage in PPI prediction. Proteomic binding data were employed to determine a simple yet novel parameter Ligand-Binding Similarity which, in turn, is used to calibrate Domain Sequence Identity and Position-Weighted-Matrix distance, two parameters that are used in constructing prediction models. Moreover, DomPep can be used to predict PPIs for both domains with experimental binding data and those without. Using the PDZ and SH2 domain families as test cases, we show that DomPep can predict PPIs with accuracies superior to existing methods. To evaluate DomPep as a discovery tool, we deployed DomPep to identify interactions mediated by three human PDZ domains. Subsequent in-solution binding assays validated the high accuracy of DomPep in predicting authentic PPIs at the proteome scale. Because DomPep makes use of only interaction data and the primary sequence of a domain, it can be readily expanded to include other types of modular domains

Characterization of AT-rich microsatellites in common bean (Phaseolus vulgaris L.)

Polymorphism of microsatellite markers is often associated with the simple sequence repeat motif targeted. AT-rich microsatellites tend to be highly variable and this appears to be notable, especially in legume genomes. To analyze the value of AT-rich microsatellites for common bean (Phaseolus vulgaris L.), we developed a total of 85 new microsatellite markers, 74 of which targeted ATA or other AT-rich motif loci and 11 of which were made for GA, CA or CAC motif loci. We evaluated the loci for the level of allelic diversity in comparison to previously characterized microsatellites using a panel of 18 standard genotypes and genetically mapped any loci polymorphic in the DOR364 × G19833 population. The majority of the microsatellites produced single bands and detected single loci, however, 15 of the AT-rich microsatellites produced multiple or double banding patterns; while only one of the GA or CA-rich microsatellites did. The polymorphism information content (PIC) values averaged 0.892 and 0.600 for the AT and ATA motif microsatellites, respectively, but only 0.140 for the CA-rich microsatellites. GA microsatellites, which had a large average number of repeats, had high to intermediate PIC, averaging 0.706. A total of 45 loci could be genetically mapped and distribution of the loci across the genome was skewed towards non-distal locations with a greater prevalence of loci on linkage groups b02, b09 and b11. AT-rich microsatellites were found to be a useful source of polymorphic markers for mapping and diversity assessment in common bean that appears to uncover higher diversity than other types of simple sequence repeat markers