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1.
BMC Bioinformatics ; 15: 325, 2014 Sep 30.
Article in English | MEDLINE | ID: mdl-25265982

ABSTRACT

BACKGROUND: Studies of functional modules in a Protein-Protein Interaction (PPI) network contribute greatly to the understanding of biological mechanisms. With the development of computing science, computational approaches have played an important role in detecting functional modules. RESULTS: We present a new approach using multi-agent evolution for detection of functional modules in PPI networks. The proposed approach consists of two stages: the solution construction for agents in a population and the evolutionary process of computational agents in a lattice environment, where each agent corresponds to a candidate solution to the detection problem of functional modules in a PPI network. First, the approach utilizes a connection-based encoding scheme to model an agent, and employs a random-walk behavior merged topological characteristics with functional information to construct a solution. Next, it applies several evolutionary operators, i.e., competition, crossover, and mutation, to realize information exchange among agents as well as solution evolution. Systematic experiments have been conducted on three benchmark testing sets of yeast networks. Experimental results show that the approach is more effective compared to several other existing algorithms. CONCLUSIONS: The algorithm has the characteristics of outstanding recall, F-measure, sensitivity and accuracy while keeping other competitive performances, so it can be applied to the biological study which requires high accuracy.


Subject(s)
Algorithms , Computational Biology/methods , Evolution, Molecular , Protein Interaction Mapping/methods , Fungal Proteins/metabolism , Humans , Yeasts/metabolism
2.
Chinese Pharmaceutical Journal ; (24): 2134-2136, 2014.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-860116

ABSTRACT

OBJECTIVE: To prepare indapamide sustained release capsules and investigate its release in vitro. METHODS: Blank pellets, hydrated magnesium silicate, hypromellose cellulose, triethyl citrate, Eudragit RL 100, Eudragit RS 100, Eudragit LS 55, etc, were used as materials to prepare indapamide sustained release capsules The content was determined by HPLC, and the effects of different solid weight gains of sustained release material on release of indapamide from capsules were evaluated by in vitro release test. RESULTS: The release in vitro of the sustained release pills met the requirements when the solid weight gain of the materials was 5.0% to 5.3%. CONCLUSION: The optimum preparation technique of indapamide sustained release capsules is established, which has guiding significance for the practical manufacture.

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