Improving the quality of protein structure models by selecting from alignment alternatives

Background  

In the area of protein structure prediction, recently a lot of effort has gone into the development of Model Quality Assessment Programs (MQAPs). MQAPs distinguish high quality protein structure models from inferior models. Here, we propose a new method to use an MQAP to improve the quality of models. With a given target sequence and template structure, we construct a number of different alignments and corresponding models for the sequence. The quality of these models is scored with an MQAP and used to choose the most promising model. An SVM-based selection scheme is suggested for combining MQAP partial potentials, in order to optimize for improved model selection.     

FRASS: the web-server for RNA structural comparison

Background  

The impressive increase of novel RNA structures, during the past few years, demands automated methods for structure comparison. While many algorithms handle only small motifs, few techniques, developed in recent years, (ARTS, DIAL, SARA, SARSA, and LaJolla) are available for the structural comparison of large and intact RNA molecules.     

黄檗丛枝菌根真菌鉴定

目的：利用形态学特征与Nested-PCR技术鉴定黄檗丛枝菌根真菌。方法：采用酸性品红染色法挑选黄檗丛枝菌根。同时,利用湿筛法获得AM真菌孢子,进行形态学鉴定。运用Nested-PCR技术,对黄檗粗提DNA进行特异性扩增,采用blastn进行序列相似性比较。并构建系统进化树,确定侵染黄檗根系的AM真菌。结果：编号为HDAM-1的AM真菌孢子,形态特征与G．intraradices的特征描述一致。Nested-PCR检测到约455bp的目的片段,其序列与G．intraradices（DQ469118）相似性最高,达97．8％,有11个碱基的差异。系统进化树显示该序列在基于25S rDNA的进化树中与G．intraradices（DQ469118．1）处于同一分支,确定G．intraradices侵染黄檗根系。结论：将形态学特征与Nested-PCR技术相结合鉴定AM真菌,不仅简易、经济,而且能够提高研究结果的可靠性。