Structural analysis of SNARE motifs from sea perch, Lateolabrax japonicus by computerized approaches

Three cDNA sequences encoding four SNARE (N-ethylmaleimide-sensitive fusion protein attachment protein receptors) motifs were cloned from sea perch, and the deduced peptide sequences were analyzed for structural prediction by using 14 different web servers and softwares. The "ionic layer" structure, the three dimensional extension and conformational characters of the SNARE 7S core complex by using bioinformatics approaches were compared respectively with those from mammalian X-ray crystallographic investigations. The result suggested that the formation and stabilization of fish SNARE core complex might be driven by hydrophobic association, hydrogen bond among R group of core amino acids and electrostatic attraction at molecular level. This revealed that the SNARE proteins interaction of the fish may share the same molecular mechanism with that of mammal, indicating the universality and solidity of SNARE core complex theory. This work is also an attempt to get the protein 3D structural information which appears to be similar to that obtained through X-ray crystallography, only by using computerized approaches. (C) 2007 Elsevier Ltd. All rights reserved.

计算机控制的亚微米硬度计及其应用

本文描述了一台有微机控制的可变温亚微米深度灵敏的硬度计及其应用实例。该硬度计的负荷范围从0.01N到2N负荷测量精度为1mN。为该硬度计配备了各种角度的四棱锥型，三棱锥型和Knoop型金刚压头用来得到各种不同的深度面积比。利用该硬度计研究了测量中的压痕尺寸效应（ISE）马氏体不锈钢辐照和He注入后的硬化脆化效应，连接奥氏体不锈钢焊接材料和碳--金属焊接材料的辐照效应。同时，还研究了在稳定负荷下硬度与加压时间的关系（压痕蠕变）和在循环负荷下硬度与循环次数的关系（压痕疲劳）

颅颌运动仿真系统(牙合)接触精度初探

目的 探讨颅颌运动仿真系统的骀接触模拟精度,为该仿真系统的应用提供依据.方法 制作10副石膏模型并上(牙合)架.用(牙合)架模拟侧方运动,三维扫描侧方运动终点(牙合)架上的上下颌模型,重建数字化上下颌模型作为对照组.运用仿真系统模拟耠架的侧方运动,以仿真系统输出的侧方运动终点的数字化上下颌模型为试验组.通过比较试验组与对照组下颌牙列之间的位置差异评价仿真系统的(牙合)接触模拟精度.结果 仿真系统模拟的下颌牙列与对照组下颌牙列之间的绝对平均距离为(0.18±0.05)mm;在前后左右四个分区中,两组右后牙区之间的绝对平均距离最大,为(0.19±0.07)mm.结论 该仿真系统的体外胎接触模拟精度为0.19mm.

Identification of Porphyra lines (Rhodophyta) by AFLP DNA fingerprinting and molecular markers

Twenty-seven Porphyra lines from 5 classes, including lines widely used in China, wild lines, and lines introduced to China from abroad in recent years, were screened by means of amplified fragment length polymorphism (AFLP) with 24 primer pairs. From the generated AFLP products, 13 bands that showed stable and repeatable AFLP patterns amplified by primer pairs M-CGA/E-AA and M-CGA/E-TA were scored and used to develop the DNA fingerprints of the 27 Porphyra lines. Moreover, the DNA fingerprinting patterns were converted into computer language expressed with digitals 1 and 0, which represented the presence (numbered as 1) or absence (numbered as 0) of the corresponding band. On the basis of these results, computerized AFLP DNA fingerprints were constructed in which each of the 27 Porphyra lines has its unique AFLP,fingerprinting pattern and can be easily distinguished from others. Software called PGI-AFLP (Porphyra germplasm identification-AFLP) was designed for identification of the 27 Porphyra lines. In addition, 21 specific AFLP markers from 15 Porphyra lines were identified; 6 AFLP markers from 4 Porphyra lines were sequenced, and 2 of them were successfully converted into SCAR (sequence characterized amplification region) markers. The developed AFLP DNA fingerprinting and specific molecular markers provide useful ways for the identification, classification, and resource protection of the Porphyra lines.

Identification of 27 Porphyra lines (Rhodophyta) by DNA fingerprinting and molecular markers

Twenty-seven Porphyra lines, including lines widely used in China, wild lines and lines introduced to China from abroad in recent years, were screened by random amplified polymorphic DNA (RAPD) technique with 120 operon primers. From the generated RAPD products, 11 bands that showed stable and repeatable RAPD patterns amplified by OPC-04, OPJ-18 and OPX-06, respectively were scored and used to develop the DNA fingerprints of the 27 Porphyra lines. Moreover, the DNA fingerprinting patterns were converted into computer language expressed with two digitals, 1 and 0, which represented the presence (numbered as 1) or absence (numbered as 0) of the corresponding band, respectively. Based on the above results, computerized DNA fingerprints were constructed in which each of the 27 Porphyra lines has its unique fingerprinting pattern and can be easily distinguished from others. Software named PGI (Porphyra germplasm identification) was designed for identification of the 27 Porphyra lines. In addition, seven specific RAPD markers from seven Porphyra lines were identified and two of them were successfully converted into SCAR (sequence characterized amplification region) markers. The developed DNA fingerprinting and specific molecular markers provide useful ways for the identification, classification and resource protection of the Porphyra lines.