advanced technologies in molecular biology and modern experimental biophysics heavily rely not only on the knowledge of structure of essential proteins but also on their structural dynamics. the function of these bimolecular systems and the pathways along which the biological phenomena take place can be determined based on the knowledge of the molecular structure and behavior. as such, the simp...

Motivation: Protein-protein complexes are known to play key roles in many cellular processes. However, they are often not accessible to experimental study because of their low stability and difficulty to produce the proteins and assemble them in native conformation. Thus, docking algorithms have been developed to provide an in silico approach of the problem. A protein-protein docking procedure ...

Metric information on similarities and distances in fold space is essential for quantitative work in structural bioinformatics and structural biology. Here we derive a suitable metric for protein structures from the fundamental axioms of similarity. Derivation of the metric also clarifies the relationship between the interrelated concepts of distance and similarity.

Structural bioinformatics provides new tools for investigating protein-protein interactions at the molecular level. We present two types of structural descriptors for efficiently representing and comparing protein-protein binding sites and surface patches. The descriptors are based on distributions of distances between five types of functional atoms, thereby capturing the spatial arrangement of...

Background: CDKN2A, encoding two important tumor suppressor proteins p16 and p14, is a tumor suppressor gene. Mutations in this gene and subsequently the defect in p16 and p14 proteins lead to the downregulation of RB1/p53 and cancer malignancy. To identify the structural and functional effects of mutations, various powerful bioinformatics tools are available. The aim of this study is the ident...