MPDB 1.0: a medicinal plant database of Bangladesh

The term of medicinal plants include a various types of plants used in herbalism with medicinal activities. These plants are considered as rich resources of ingredients which can be used as complementary and alternative medicines and, also in drug developments and synthesis. In addition, some plants regarded as valuable origin of nutrition. Thus, all these plants are recommended as therapeutic agents. Information related to medicinal plants and herbal drugs accumulated over the ages are scattered and unstructured which make it prudent to develop a curated database for medicinal plants. MPDB 1.0 database is dedicated to provide the first window to find the plants around Bangladesh claimed to have medicinal and/or nutritive values by accumulating data from the published literatures. This database contains 406 medicinal plants with their corresponding scientific, family and local names as well as utilized parts for treatment from different districts of Bangladesh. Information regarding ailments is available for 353 plants. In addition, we have found active compounds for 78 plants with their corresponding PubMed ID.

Availability

www.medicinalplantbd.net     

基于MIMIC数据库的多参数数据D/A回放系统

文中分析了MIMIC多参数智能监护数据库存储文件的识读方法,该数据库公开发表于PhysioNET,还研究及基于STM32和DAC8568的多参数数据D/A回放系统,包括系统硬件工作原理和系统软件工作原理。MIMIC多参数智能监护数据库的数据文件对于变异性较大的生理参数采用连续采样的方式,而对于相对稳定的生理参数采用周期采样的方式,因此,多参数数据各信号的抽样频率不同。系统首先通过VC++编程读取一个多抽样频率数据并在PC机上显示其波形,然后经过D/A硬件设备进行D/A转换后使用示波器输出其波形,实现输出的波形与原始的波形能同时回放。系统可作为模拟信号源,为远程多参数生理监护仪的研制奠定了基础。     

基于网络的肾癌随访系统的建立与应用

目的:肾癌是泌尿系常见肿瘤,需长期随访,传统统计及随访方式已逐渐不能适应现代临床及科研需求,我们尝试建立基于网络的肾癌随访系统,满足临床实际工作和科研需求。方法:以Microsoft Office Access 2007软件构建数据库管理系统,分为资料录入模块、检索分析模块、网络随访模块,选取我院2008.5至2012.12收治的132例肾癌患者,将资料录入已建成的数据库,利用网络随访辅助传统随访方式进行随访。结果:构建的肾癌随访数据库,能够实现授权账户登录,检索、分析、肿瘤自动评级等功能,可根据不同检索条件筛选出适合病历,在传统随访方式的基础上联合应用网络随访方式可提高随访效率及随访率,并能获得更详实的随访资料。结论:基于网络的肾癌随访系统操作简便,能够实现无纸化管理,数据详实,检索便捷,为科学制定治疗方案提供帮助,可一定程度上提高随访率及随访效率,降低失访率和患者就医成本。     

Current activities of the national LCA project in Japan

The Ministry of International Trade and Industry (MITI) has launched a national project, ‘Development of Assessment Technology of Life Cycle Environmental Impacts of Products’ (commonly known as the LCA Project). The activities of this project will be continued for 5 yeas since fiscal 1998 with an overall budget of total 850 million yen. The LCA Project aims to develop a highly reliable LCA database and LCA methodology which can be readily used throughout Japan. In this paper, the overall plans and current activities of project are indicated.     

根瘤菌资源数据库（RRDB）的建立

在总结我室多年对根瘤菌资源调查与分类研究的基础上,建立了根瘤菌资源数据库（ＲＲＤＢ）。此库依据根瘤菌研究特点而设计,包括：基本信息、采集信息、保藏信息、回接信息、参考文献、性状信息、菌株说明等七个子库。目前收录了来自国内２１个省或地区及国外部分研究单位提供的;并经全面性状分析与分类研究的２８６个菌株的信息,每个菌株设有寄主来源、固氮酶活性、碳源、氮源的利用等３２１个数据项。该库具有数据维护、查询检索、数据统计、输出打印等功能,引入并连接了聚类分析软件包－ＭＩＮＴＳ系统,可以满足当前研究的需要。     

New data and collaborations at the Saccharomyces Genome Database: updated reference genome,alleles, and the Alliance of Genome Resources

Saccharomyces cerevisiae is used to provide fundamental understanding of eukaryotic genetics, gene product function, and cellular biological processes. Saccharomyces Genome Database (SGD) has been supporting the yeast research community since 1993, serving as its de facto hub. Over the years, SGD has maintained the genetic nomenclature, chromosome maps, and functional annotation, and developed various tools and methods for analysis and curation of a variety of emerging data types. More recently, SGD and six other model organism focused knowledgebases have come together to create the Alliance of Genome Resources to develop sustainable genome information resources that promote and support the use of various model organisms to understand the genetic and genomic bases of human biology and disease. Here we describe recent activities at SGD, including the latest reference genome annotation update, the development of a curation system for mutant alleles, and new pages addressing homology across model organisms as well as the use of yeast to study human disease.     

In silico epitope-based vaccine design against influenza a neuraminidase protein: Computational analysis established on B- and T-cell epitope predictions

ObjectiveInfluenza A virus belongs to the most studied virus and its mutant initiates epidemic and pandemics outbreaks. Inoculation is the significant foundation to diminish the risk of infection. To prevent an incidence of influenza from the transmission, various practical approaches require more advancement and progress. More efforts and research must take in front to enhance vaccine efficacy.MethodsThe present research emphasizes the development and expansion of a universal vaccine for the influenza virus. Research focuses on vaccine design with high efficacy. In this study, numerous computational approaches were used, covering a wide range of elements and ideas in bioinformatics methodology. Various B and T-cell epitopic peptides derived from the Neuraminidase protein N1 are recognized by these approaches. With the implementation of numerous obtained databases and bioinformatics tools, the different immune framework methods of the conserved sequences of N1 neuraminidase were analyzed. NCBI databases were employed to retrieve amino acid sequences. The antigenic nature of the neuraminidase sequence was achieved by the VaxiJen server and Kolaskar and Tongaonkar method. After screening of various B and T cell epitopes, one efficient peptide each from B cell epitope and T cell epitopes was assessed for their antigenic determinant vaccine efficacy. Identical two B cell epitopes were recognized from the N1 protein when analyzed using B-cell epitope prediction servers. The detailed examination of amino acid sequences for interpretation of B and T cell epitopes was achieved with the help of the ABCPred and Immune Epitope Database.ResultsComputational immunology via immunoinformatic study exhibited RPNDKTG as having its high conservancy efficiency and demonstrated as a good antigenic, accessible surface hydrophilic B-cell epitope. Among T cell epitope analysis, YVNISNTNF was selected for being a conserved epitope. T cell epitope was also analyzed for its allergenicity and cytotoxicity evaluation. YVNISNTNF epitope was found to be a non-allergen and not toxic for cells as well. This T-cell epitope with maximum world populace coverages was scrutinized for its association with the HLA-DRB1*0401 molecule. Results from docking simulation analyses showed YVNISNTNF having lower binding energy, the radius of gyration (Rg), RMSD values, and RMSE values which make the protein structure more stable and increase its ability to become an epitopic peptide for influenza virus vaccination.ConclusionsWe propose that this epitope analysis may be successfully used as a measurement tool for the robustness of an antigen–antibody reaction between mutant strains in the annual design of the influenza vaccine.