[Preparation of curcumin-loaded long-circulating liposomes and its pharmacokinetics in rats].

Curcumin has a wide spectrum of pharmaceutical properties such as antitumor, antioxidant, antiamyloid, and anti-inflammatory activity. However, poor aqueous solubility and low bioavailability of curcumin are major challenge in its development as a useful drug. To overcome many of these problems, curcumin-loaded long-circulating liposomes (Cur-LCL) were prepared by the ethanol injection method.

Parallel clustering algorithm for large-scale biological data sets.

Backgrounds: Recent explosion of biological data brings a great challenge for the traditional clustering algorithms. With increasing scale of data sets, much larger memory and longer runtime are required for the cluster identification problems. The affinity propagation algorithm outperforms many other classical clustering algorithms and is widely applied into the biological researches.

[Studies on absorption kinetics characteristics of diterpenoid alkaloids in rats after oral administration of Sini Tang powder].

The purpose of this study was to investigate the absorption kinetics of aconitine, mesaconitine and hypaconitine in rats after oral administration of Sini Tang powder. With cannulate portal and jugular veins cannulated (double-cannulate), conscious moving rats were orally administered Sini Tang. Then samples of portal and systemic blood were collected at the designated periods of time and analyzed for aconitine, mesaconitine and hypaconitine by HPLC.

CNNcon: improved protein contact maps prediction using cascaded neural networks.

Backgrounds: Despite continuing progress in X-ray crystallography and high-field NMR spectroscopy for determination of three-dimensional protein structures, the number of unsolved and newly discovered sequences grows much faster than that of determined structures. Protein modeling methods can possibly bridge this huge sequence-structure gap with the development of computational science. A grand challenging problem is to predict three-dimensional protein structure from its primary structure (residues sequence) alone.

A network clustering algorithm for detection of protein families.

Detection of protein families in large scale database is a difficult but important biological problem. Computational clustering methods can effectively address the problem. Although there exist many clustering algorithms, most of them are just based on the threshold.