[Effect of Guilu Taohong Formula on semen quality and spermatogenic cell apoptosis in a varicocele model of rats].

Objective: To observe the effect of Guilu Taohong Formula on semen quality in varicocele (VC) models of rats, and to explore its possible mechanism.

Methods: Forty-eight male SD rats were randomly divided into four groups (sham group, model group, Guilu Taohong Formula group and L-carnitine group). After the establishment of models, the rats were treated with intragastric administration for eight consecutive weeks.

[Effects of hydrocortisone on myocardial function in early stage of sepsis in rabbits].

Objective: To study the effects of different dose of hydrocortisone (HC) on myocardial function in early stage of sepsis in rabbits.

Methods: Twenty-four male rabbits were randomly divided into three groups: model group (n=8), HC low dosage group (10 mg/kg, n=8), HC high dosage group (100 mg/kg, n=8). The model was reproduced by cecal ligation and puncture (CLP).

The simulation of the three-dimensional lattice hydrophobic-polar protein folding.

One of the most prominent problems in computational biology is to predict the natural conformation of a protein from its amino acid sequence. This paper focuses on the three-dimensional hydrophobic-polar (HP) lattice model of this problem. The modified elastic net (EN) algorithm is applied to solve this nonlinear programming hard problem.

Exploration of two-dimensional hydrophobic-polar lattice model by combining local search with elastic net algorithm.

Determining the functional conformation of a protein from its amino acid sequence remains a central problem in computational biology. In this paper, we establish the mathematical optimal model of protein folding problem (PFP) on two-dimensional space based on the minimal energy principle. A novel hybrid of elastic net algorithm and local search method (ENLS) is applied successfully to simulations of protein folding on two-dimensional hydrophobic-polar (HP) lattice model.

Optimal HP configurations of proteins by combining local search with elastic net algorithm.

The prediction of protein conformation from its amino-acid sequence is one of the most prominent problems in computational biology. But it is NP-hard. Here, we focus on an abstraction widely studied of this problem, the two-dimensional hydrophobic-polar protein folding problem (2D HP PFP).