Predicting the protein-protein interactions using primary structures with predicted protein surface

Background: Many biological functions involve various protein-protein interactions (PPIs). Elucidating such interactions is crucial for understanding general principles of cellular systems. Previous studies have shown the potential of predicting PPIs based on only sequence information. Compared to approaches that require other auxiliary information, these sequence-based approaches can be applied to a broader range of applications. Results: This study presents a novel sequence-based method based on the assumption that protein-protein interactions are more related to amino acids at the surface than those at the core. The present method considers surface information and maintains the advantage of relying on only sequence data by including an accessible surface area (ASA) predictor recently proposed by the authors. This study also reports the experiments conducted to evaluate a) the performance of PPI prediction achieved by including the predicted surface and b) the quality of the predict...

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Darby Tien-Hao Chang, Yu-Tang Syu, Po-Chang Lin
• Keywords: BMCBI 2010, Information, Many Biological Functions, Various Protein-protein Interactions