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Chen, C.-T., Peng, H.-P., Jian, J.-W., Tsai, K.-C., Chang, J.-Y., Yang, E.-W., Chen, J.-B., Ho, S.-Y., Hsu, W.-L. and Yang, A.-S. (2012) Protein-protein interaction site predictions with three-dimensional probability distributions of interacting atoms on protein surfaces. PloS ONE, 7, e37706. http://dx.doi.org/10.1371/journal.pone.0037706

has been cited by the following article:

• TITLE: Predicting residue contacts for protein-protein interactions by integration of multiple information

  AUTHORS: Tu Kien T. Le, Osamu Hirose, Vu Anh Tran, Thammakorn Saethang, Lan Anh T. Nguyen, Xuan Tho Dang, Duc Luu Ngo, Mamoru Kubo, Yoichi Yamada, Kenji Satou

  KEYWORDS: Residue-Residue Contacts;Domain-Domain Interactions; Protein-Protein Interactions; Domain Interfaces; Residue Co-Evolution; Contact Potentials

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.7 No.1, January 24, 2014

  ABSTRACT: Detailed knowledge of interfacial region between interacting proteins is not only helpful in annotating function for proteins, but also very important for structure-based drug design and disease treatment. However, this is one of the most difficult tasks and current methods are constrained by some factors. In this study, we developed a new method to predict residue-residue contacts of two interacting protein domains by integrating information about evolutionary couplings andamino acid pairwise contact potentials, as well as domain-domain interaction interfaces. The experimental results showed that our proposed method outperformed the previous method with the same datasets. Moreover, the method promises an improvement in the source of template-based protein docking.