分子生物学杂志文献搜索引擎开发研究

为了方便从事分子生物学研究人员快捷、准确地查阅相关杂志文献,开发和利用NCBI的Medline数据库的杂志文献资源。我们从Medline(PubMed)中检索并列出184种有关分子生物学的杂志名录,制作了每种杂志的超级链接及部分杂志年份相应的超级链接,组成一个有关分子生物学杂志文献的搜索引擎。此搜索引擎能快捷、准确、动态地检索184种分子生物学杂志全部文献题录及部分杂志各年的文献题录,并可在PubMed中进一步检索出文献的摘要和部分全文。     

构建基于磁珠微流控芯片的iFlora遗传信息高效获取系统

磁珠以其比表面积大、易与生物分子耦联、操控方便等优点,在生命科学中得到了广泛应用。随着微机电系统（MicroElectroMechanicalSystems,MEMS）技术的发展,将磁珠应用到微流控芯片中构建磁珠微流控分析系统,为生物样品分离、检测提供了一种全新方法。新一代植物志iFlora融入现代DNA测序技术．应用高速发展的信息、网络技术及云计算分析平台,收集、整合和管理植物物种相关信息,以实现物种智能鉴定和数据提取,而包括DNA条形码在内的遗传信息及其获取技术在iFlora中的作用至关重要。本文重点概述了基于纳米磁珠的微流控芯片技术及其在分子生物学领域中的应用,提出构建基于纳米磁珠微流控芯片的iFlora遗传信息采集系统,在微芯片上完成从DNA提取到测序全过程,实现物种遗传信息的快速、高效获取。     

分子生物学技术在生物修复中的应用研究进展

随着分子生物学技术如分子杂交、PCR、电泳技术等的发展,微生物学研究领域发生了深刻的变革,灵敏的检测和精确的细菌鉴定成为可能.微生物分子生态学作为分子生物学与微生物生态学交叉而形成的学科,在生物修复方面得到广泛应用.从分子生物学实验技术角度综述了各种微生物分子生物学技术在生物修复中的应用研究情况.     

Vector NTI Suite在分子生物学领域的应用

有许多软件可以帮助分子生物学工作者解决一些他们日常实验室工作中遇到的问题.Vector NTI Suite是一种高度集成、功能齐全的分子生物学应用软件,它可以对核酸、蛋白质等分子进行大量的操作和分析,以及建立和管理生物数据库.重点对Vector NTI Suite软件的概况、应用现状及其在分子生物学领域的应用进行综述与探讨.     

鸟类分子系统地理学研究进展

分子系统地理学是当代生物地理学的重要分支,是以分子生物学方法重建种内和种上水平的系统发育关系,阐释进化历史,并通过分析近缘生物类群的系统发育关系与其空间和时间分布格局间的相关性构建生物区系历史的研究,是分子生物学与生物地理学结合的产物。中性进化学说和溯祖理论分析的建立,以及线粒体DNA和微卫星标记等分子遗传标记的应用,为分子系统地理学研究的开展提供了理论和实践基础。近年来,分子系统地理方法在鸟类学研究中的应用揭示了许多不同于传统认知的发现,为准确而深入的了解鸟类分子系统地理格局的差异和不同类群的起源中心提供了新颖的证据。目前的研究多从隔离分化说和扩散说的角度对鸟类分子系统地理格局的成因进行分析,而迁徙行为不同对鸟类系统地理格局的影响为成因的解释提供了新的角度。结合区域特点的比较分子系统地理研究,在更广泛的地域和更多类群中开展研究是我国鸟类分子系统地理研究的方向。此外,展望了第二代测序技术对分子生态生物地理研究具有的潜在促进作用。     

关于iFlora创建工作框架的建议

iFlora是依据传统植物分类学及相关学科的研究基础,融入现代DNA测序技术,应用高速发展的信息、网络技术及云计算分析平台,收集、整合和管理植物物种相关信息,以建成智能物种鉴定和数据提取的开放应用系统（智能装备）。通过与该系统的双向交流,一方面,可以不断整合新的数据和技术充实iFlora的内容和功能;另一方面,可以通过该系统的多种鉴定途径实现快速、准确和方便的物种鉴定,获取所需物种的相关信息,满足专业机构和公众对物种和生物多样性的认知要求。本文重点介绍了构成iFlora的应用装置和支撑该装置的实物库（凭证标本、分子材料和DNA库）的建设及其重要性;阐述了构成iFlora各单元的高度整合和集成的特点,以及基于计算机技术的物种信息数字化和开放的云计算数据分析处理服务平台的枢纽作用;并讨论了iFlora创建过程所面临的困难和挑战,以及拟研发的智能装备的框架和应用前景。     

单分子荧光检测技术的发展及其在植物生物学研究中的应用

单分子荧光检测技术是利用荧光基团对目的分子标记后,在单分子水平成像并追踪分子的构象变化、动力学特征以及分子之间相互作用的研究方法.相较于传统分子生物学和遗传学的研究手段,单分子检测技术可以对单个分子的动态和特性进行分析,特别是瞬时或偶发性的事件,从而更加深入地挖掘在群体测量中被掩盖的信息.该技术已广泛应用于动物细胞生物...     

分子进化与系统树

生物在从低级向高级进化的同时,某些生物大分子也在进化。根据分子生物学资料可以构建同源分子的系统树。本文具体介绍了Fitch和Margoliash提出的系统树构建法,并对20种细胞色素c分子组成的系统树作了扼要说明。     

SPR技术在免疫学研究中的应用

表面等离子共振(Surface Plasmon Resonance,SPR)技术是研究生物分子相互作用的强有力工具之一,该技术使生物分子之间相互作用的实时检测成为可能,并且灵敏度高、无需标记.通过分析传感图谱及分子相互作用的响应值获取分子相互作用的模式和动力学常数等方面的信息,并且获得的信息是能够定性和定量.SPR技术现在已广泛应用于生物、化学、免疫学研究及新药开发等领域.本文主要就SPR技术在免疫学研究中抗体活性检测、抗原表位预测等方面的应用进行了综述.     

MST技术在生命科学中的应用进展

在生命科学领域中,生物分子间的相互作用具有非常重要的作用。通过分子间相互作用分析不仅可阐明细胞生物学事件,而且为疾病发生机制和药物发现提供基础。MST技术是一种基于检测在温度梯度中的生物分子电泳迁移率的变化而检测生物分子间结合、解离过程,获取分子间相互作用的模式和动力学常数等方面信息的新技术,是近年来发展的研究生物分子相互作用的强有力工具,已广泛应用于生命科学领域研究。本文综述了MST的技术原理、分析方法及其在生命科学领域的应用进展。     

番茄生物学研究的相关网络资源

番茄（Solanum lycopersicum）是一种重要的蔬菜作物, 也是研究茄科作物的模式植物。互联网上有丰富的与番茄相关的生物信息学资源, 对其生物学研究带来极大便利。该文介绍了目前网络上与番茄生物学研究相关的资源, 利用这些资源将会加快对番茄遗传学和基因组学及对茄科植物多样性的研究。     

番茄生物学研究的相关网络资源

番茄(Solanum lycopersicum)是一种重要的蔬菜作物, 也是研究茄科作物的模式植物。互联网上有丰富的与番茄相关的生物信息学资源, 对其生物学研究带来极大便利。该文介绍了目前网络上与番茄生物学研究相关的资源, 利用这些资源将会加快对番茄遗传学和基因组学及对茄科植物多样性的研究。     

Finding the evidence for protein-protein interactions from PubMed abstracts

MOTIVATION: Protein-protein interactions play critical roles in biological processes, and many biologists try to find or to predict crucial information concerning these interactions. Before verifying interactions in biological laboratory work, validating them from previous research is necessary. Although many efforts have been made to create databases that store verified information in a structured form, much interaction information still remains as unstructured text. As the amount of new publications has increased rapidly, a large amount of research has sought to extract interactions from the text automatically. However, there remain various difficulties associated with the process of applying automatically generated results into manually annotated databases. For interactions that are not found in manually stored databases, researchers attempt to search for abstracts or full papers. RESULTS: As a result of a search for two proteins, PubMed frequently returns hundreds of abstracts. In this paper, a method is introduced that validates protein-protein interactions from PubMed abstracts. A query is generated from two given proteins automatically and abstracts are then collected from PubMed. Following this, target proteins and their synonyms are recognized and their interaction information is extracted from the collection. It was found that 67.37% of the interactions from DIP-PPI corpus were found from the PubMed abstracts and 87.37% of interactions were found from the given full texts. AVAILABILITY: Contact authors.     

Defining Ourselves: Personal Bioinformation as a Tool of Narrative Self-Conception

Where ethical or regulatory questions arise about an individual’s interests in accessing bioinformation about herself (such as findings from screening or health research), the value of this information has traditionally been construed in terms of its clinical utility. It is increasingly argued, however, that the “personal utility” of findings should also be taken into account. This article characterizes one particular aspect of personal utility: that derived from the role of personal bioinformation in identity construction. The suggestion that some kinds of information are relevant to identity is not in itself new. However, the account outlined here seeks to advance the debate by proposing a conception of the relationship between bioinformation and identity that does not depend on essentialist assumptions and applies beyond the narrow genetic contexts in which identity is customarily invoked. The proposal is that the identity-value of personal bioinformation may be understood in terms of its instrumental role in the construction of our narrative identities, specifically that its value lies in helping us to develop self-narratives that support us in navigating our embodied existences. I argue that this narrative conception provides useful insights that are pertinent to the ethical governance of personal bioinformation. It illuminates a wider range of ethical considerations in relation to information access; it accounts for variations in the utility of different kinds of information; and it highlights that the context in which information is conveyed can be as important as whether it is disclosed at all. These arguments are illustrated using an example drawn from psychiatric neuroimaging research.     

MetaboSearch: tool for mass-based metabolite identification using multiple databases

Searching metabolites against databases according to their masses is often the first step in metabolite identification for a mass spectrometry-based untargeted metabolomics study. Major metabolite databases include Human Metabolome DataBase (HMDB), Madison Metabolomics Consortium Database (MMCD), Metlin, and LIPID MAPS. Since each one of these databases covers only a fraction of the metabolome, integration of the search results from these databases is expected to yield a more comprehensive coverage. However, the manual combination of multiple search results is generally difficult when identification of hundreds of metabolites is desired. We have implemented a web-based software tool that enables simultaneous mass-based search against the four major databases, and the integration of the results. In addition, more complete chemical identifier information for the metabolites is retrieved by cross-referencing multiple databases. The search results are merged based on IUPAC International Chemical Identifier (InChI) keys. Besides a simple list of m/z values, the software can accept the ion annotation information as input for enhanced metabolite identification. The performance of the software is demonstrated on mass spectrometry data acquired in both positive and negative ionization modes. Compared with search results from individual databases, MetaboSearch provides better coverage of the metabolome and more complete chemical identifier information. Availability: The software tool is available at http://omics.georgetown.edu/MetaboSearch.html.     

Database on Demand – An online tool for the custom generation of FASTA‐formatted sequence databases

In mass spectrometry‐based proteomics, most conventional search engines match spectral data to sequence databases. These search databases thus play a crucial role in the identification process. While search engines can derive peptides in silico from protein sequences, this is usually limited to standard digestion algorithms. Customized search databases that provide detailed control over the search space can vastly outperform such standard strategies, especially in gel‐free proteomics experiments. Here we present Database on Demand, an easy‐to‐use web tool that can quickly produce a wide variety of customized search databases.     

Ligand-Info,searching for similar small compounds using index profiles

MOTIVATION: The Ligand-Info system is based on the assumption that small molecules with similar structure have similar functional (binding) properties. The developed system enables a fast and sensitive index based search for similar compounds in large databases. Index profiles, constructed by averaging indexes of related molecules are used to increase the specificity of the search. The utilization of index profiles helps to focus on frequent, common features of a family of compounds. RESULTS: A Java-based tool for clustering and scanning of small molecules has been created. The tool can interactively cluster sets of molecules and create index profiles on the user side and automatically download similar molecules from a databases of 250 000 compounds. The results of the application of index profiles demonstrate that the profile based search strategy can increase the quality of the selection process. AVAILABILITY: The system is available at http://Ligand.Info. The application requires the Java Runtime Environment 1.4, which can be automatically installed during the first use on desktop systems, which support it. A standalone version of the program is available from the authors upon request.     

HOWDY: an integrated database system for human genome research

HOWDY is an integrated database system for accessing and analyzing human genomic information (http://www-alis.tokyo.jst.go.jp/HOWDY/). HOWDY stores information about relationships between genetic objects and the data extracted from a number of databases. HOWDY consists of an Internet accessible user interface that allows thorough searching of the human genomic databases using the gene symbols and their aliases. It also permits flexible editing of the sequence data. The database can be searched using simple words and the search can be restricted to a specific cytogenetic location. Linear maps displaying markers and genes on contig sequences are available, from which an object can be chosen. Any search starting point identifies all the information matching the query. HOWDY provides a convenient search environment of human genomic data for scientists unsure which database is most appropriate for their search.     

Protein Information and Knowledge Extractor: Discovering biological information from proteomics data

One of the main goals in proteomics is to solve biological and molecular questions regarding a set of identified proteins. In order to achieve this goal, one has to extract and collect the existing biological data from public repositories for every protein and afterward, analyze and organize the collected data. Due to the complexity of this task and the huge amount of data available, it is not possible to gather this information by hand, making it necessary to find automatic methods of data collection. Within a proteomic context, we have developed Protein Information and Knowledge Extractor (PIKE) which solves this problem by automatically accessing several public information systems and databases across the Internet. PIKE bioinformatics tool starts with a set of identified proteins, listed as the most common protein databases accession codes, and retrieves all relevant and updated information from the most relevant databases. Once the search is complete, PIKE summarizes the information for every single protein using several file formats that share and exchange the information with other software tools. It is our opinion that PIKE represents a great step forward for information procurement and drastically reduces manual database validation for large proteomic studies. It is available at http://proteo.cnb.csic.es/pike .     

构建基于EBI数据库的本地SRS服务系统

为了建立基于EBI数据库的本地SRS服务系统,进而为生物医学研究人员提供方便、快速搜索EBI常用生物数据库的web服务,同时提供一套技术机制为其他生物医学研究机构建设自己的SRS服务系统提供参考。在Linux系统和Tomcat环境下安装调试EBI提供的SRS8.1学术版软件,并利用perl和shell程序设计语言开发EBI数据库的自动下载和定期更新模块。完成了本地SRS系统的安装和测试,实现了EBI数据库的自动下载和更新机制,目前系统已经正常运行。