促性腺激素释放激素Buserelin 稳定性的研究

目的:研究Buserelin原料药的性质在温度、湿度、光线等条件的影响下随时间变化的规律,为该原料药的生产、包装、储存、运输及有效期的制定提供依据。方法:根据中国药典2005版二部附录XIX C药物稳定性试验指导原则及化学药物稳定性研究技术指导原则进行强光照射、高温(60℃、40℃)、高湿(RH92.5%±5%、RH75%±5%)影响因素试验,加速试验(40℃±2℃、RH75%±5%;25℃±2℃、RH60%±10%);按Buserelin原料药标准规定的质量指标及相关的检验方法对产品在试验条件下的主要质量指标进行检测。结果:强光照射、高温、高湿等影响因素对Buserelin的稳定性有明显影响,故应密封、于干燥、阴凉处保存。在加速试验中,Buserelin原料药的各项质量指标发生了小的变化,但均在质量标准规定的范围内。结论:强光照射、高温、高湿等影响因素对Buserelin的稳定性有明显影响,应在阴凉干燥处避光密封保存和运输。加速试验结果证明:在此条件下,它的各项质量指标变化均在质量标准范围内,符合Buserelin原料药质量标准规定的要求;故将其保质期暂定为两年。     

Diversity of LTR retrotransposons and their role in genome reorganization

Current views of retrotransposons possessing long terminal repeats (LTRs) are described. The existing classification and element types isolated by genome organization are considered. Experimental data are summarized to demonstrate that the replicative cycle of a retrotransposon is not restricted to a single cell and that LTR retrotransposons are transferred between somatic cells with a rate comparable with the element transposition rate within the genome of one cell. The major mechanisms mediating the role of LTR retrotransposons in reorganization of the genome are considered with regard to the strategies of their horizontal and vertical transfer.__________Translated from Genetika, Vol. 41, No. 4, 2005, pp. 542–548.Original Russian Text Copyright © 2005 by Syomin, Ilyin.     

Tools for comparative protein structure modeling and analysis

The following resources for comparative protein structure modeling and analysis are described (http://salilab.org): MODELLER, a program for comparative modeling by satisfaction of spatial restraints; MODWEB, a web server for automated comparative modeling that relies on PSI-BLAST, IMPALA and MODELLER; MODLOOP, a web server for automated loop modeling that relies on MODELLER; MOULDER, a CPU intensive protocol of MODWEB for building comparative models based on distant known structures; MODBASE, a comprehensive database of annotated comparative models for all sequences detectably related to a known structure; MODVIEW, a Netscape plugin for Linux that integrates viewing of multiple sequences and structures; and SNPWEB, a web server for structure-based prediction of the functional impact of a single amino acid substitution.     

High-throughput siRNA-based functional target validation

The drug discovery process pursued by major pharmaceutical companies for many years starts with target identification followed by high-throughput screening (HTS) with the goal of identifying lead compounds. To accomplish this goal, significant resources are invested into automation of the screening process or HTS. Robotic systems capable of handling thousands of data points per day are implemented across the pharmaceutical sector. Many of these systems are amenable to handling cell-based screening protocols as well. On the other hand, as companies strive to develop innovative products based on novel mechanisms of action(s), one of the current bottlenecks of the industry is the target validation process. Traditionally, bioinformatics and HTS groups operate separately at different stages of the drug discovery process. The authors describe the convergence and integration of HTS and bioinformatics to perform high-throughput target functional identification and validation. As an example of this approach, they initiated a project with a functional cell-based screen for a biological process of interest using libraries of small interfering RNA (siRNA) molecules. In this protocol, siRNAs function as potent gene-specific inhibitors. siRNA-mediated knockdown of the target genes is confirmed by TaqMan analysis, and genes with impacts on biological functions of interest are selected for further analysis. Once the genes are confirmed and further validated, they may be used for HTS to yield lead compounds.