ProDomAs, protein domain assignment algorithm using center-based clustering and independent dominating set.

Decomposition of structural domains is an essential task in classifying protein structures, predicting protein function, and many other proteomics problems. As the number of known protein structures in PDB grows exponentially, the need for accurate automatic domain decomposition methods becomes more essential. In this article, we introduce a bottom-up algorithm for assigning protein domains using a graph theoretical approach.

Pleurodesis by erythromycin, tetracycline, Aerosil™ 200, and erythromycin plus Aerosil™ 200 in a rat model: a preliminary study.

Background: None of the current pleurodesing agents fulfil all the criteria for best pleural sclerosant. Therefore, the search for the ideal agent for chemical pleurodesis still continues. The aim of the present study was to compare the effectiveness of erythromycin, tetracycline, Aerosil™ 200 (hydrophilic fumed amorphous silica), and erythromycin plus Aerosil™ 200 in producing pleurodesis in rats.

Diagnostic peritoneal lavage in hemodynamically stable patients with lower chest or anterior abdominal stab wounds.

Background: Managing hemodynamically stable patients with thoracoabdominal stab wounds is still under dispute. This study aimed at discussing cut-off points of red blood cell (RBC) count in diagnostic peritoneal lavage (DPL) effluent in these patients.

Methods: Three hundred and eighty-eight patients with thoracoabdominal stab wounds and hemodynamically stable status were enrolled.

Kavosh: a new algorithm for finding network motifs.

Background: Complex networks are studied across many fields of science and are particularly important to understand biological processes. Motifs in networks are small connected sub-graphs that occur significantly in higher frequencies than in random networks. They have recently gathered much attention as a useful concept to uncover structural design principles of complex networks.