Benchmarking of dimeric threading and structure refinement.
The understanding of protein-protein interactions is a major goal in the postgenomic era. The prediction of interaction from sequence and the subsequent generation of full-length dimeric models is therefore of great interest especially because the number of structurally characterized protein-protein complexes is sparse. A quality assessment of a benchmark comprised of 170 weakly homologous dimeric target-template pairs is presented. They are predicted in a two-step method, similar to the previously described MULTIPROSPECTOR algorithm: each target sequence is assigned to a monomeric template structure by threading; then, those templates that belong to the same physically interacting dimer template are selected. Additionally we use structural alignments as the "gold standard" to assess the percentage of correctly assigned monomer and dimer templates and to evaluate the threading results with a focus on the quality of the alignments in the interfacial region. This work aims to give a quantitative picture of the quality of dimeric threading. Except for one, all monomer templates are identified correctly, but approximately 40% of the dimer templates are still problematic or incorrect. Preliminary results for three full-length dimeric models generated with the TASSER method show on average a significant improvement of the final model over the initial template.
Grimm
Vera
V
Center of Excellence in Bioinformatics, University at Buffalo, Buffalo, New York, USA.
Zhang
Yang
Y
Skolnick
Jeffrey
J
D000465:Algorithms; D030562:Databases, Protein; D019281:Dimerization; D008961:Models, Structural; D011485:Protein Binding; D025941:Protein Interaction Mapping / Q000379:methods*; D017433:Protein Structure, Secondary; D040681:Structural Homology, Protein