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CAZymes-based ranking of fungi (CBRF): an interactive web database for identifying fungi with extrinsic plant biomass degrading abilities
Bioresources and Bioprocessing ( IF 4.6 ) Pub Date : 2019-12-17 , DOI: 10.1186/s40643-019-0286-0
Ayyappa Kumar Sista Kameshwar , Luiz Pereira Ramos , Wensheng Qin

Carbohydrate-active enzymes (CAZymes) are industrially important enzymes, which are involved in synthesis and breakdown of carbohydrates. CAZymes secreted by microorganisms especially fungi are widely used in industries. However, identifying an ideal fungal candidate is costly and time-consuming process. In this regard, we have developed a web-database “CAZymes Based Ranking of Fungi (CBRF)”, for sorting and selecting an ideal fungal candidate based on their genome-wide distribution of CAZymes. We have retrieved the complete annotated proteomic data of 443 published fungal genomes from JGI-MycoCosm web-repository, for the CBRF web-database construction. CBRF web-database was developed using open source computing programing languages such as MySQL, HTML, CSS, bootstrap, jQuery, JavaScript and Ajax frameworks. CBRF web-database sorts complete annotated list of fungi based on three selection functionalities: (a) to sort either by ascending (or) descending orders; (b) to sort the fungi based on a selected CAZy group and class; (c) to sort fungi based on their individual lignocellulolytic abilities. We have also developed a simple and basic webpage “S-CAZymes” using HTML, CSS and Java script languages. The global search functionality of S-CAZymes enables the users to understand and retrieve information about a specific carbohydrate-active enzyme and its current classification in the corresponding CAZy family. The S-CAZymes is a supporting web page which can be used in complementary with the CBRF web-database (knowing the classification of specific CAZyme in S-CAZyme and use this information further to sort fungi using CBRF web-database). The CBRF web-database and S-CAZymes webpage are hosted through Amazon® Web Services (AWS) available at http://13.58.192.177/RankEnzymes/about. We strongly believe that CBRF web-database simplifies the process of identifying a suitable fungus both in academics and industries. In future, we intend to update the CBRF web-database with the public release of new annotated fungal genomes.


中文翻译:

基于CAZymes的真菌排名(CBRF):用于识别具有外在植物生物量降解能力的真菌的交互式Web数据库

碳水化合物活性酶(CAZymes)是工业上重要的酶,参与碳水化合物的合成和分解。由微生物特别是真菌分泌的酶被广泛用于工业中。然而,鉴定理想的真菌候选者是昂贵且费时的过程。在这方面,我们已经开发了一个网络数据库“基于CAZymes的真菌排名(CBRF)”,用于根据其在CAZymes的全基因组分布来分类和选择理想的真菌候选物。我们已经从JGI-MycoCosm网站存储库中检索了443个已发布真菌基因组的完整注释蛋白质组学数据,用于CBRF网站数据库的构建。CBRF Web数据库是使用开源计算编程语言(例如MySQL,HTML,CSS,引导程序,jQuery,JavaScript和Ajax框架)开发的。CBRF Web数据库基于三种选择功能对完整的带注释的真菌列表进行排序:(a)以升序(或降序)排序;(b)根据选定的CAZy组和类别对真菌进行分类;(c)根据其各自的木质纤维素分解能力对真菌进行分类。我们还使用HTML,CSS和Java脚本语言开发了一个简单而基本的网页“ S-CAZymes”。S-CAZymes的全局搜索功能使用户能够了解和检索有关特定碳水化合物活性酶及其相应CAZy家族当前分类的信息。S-CAZymes是一个支持网页,可以与CBRF网络数据库互补使用(了解S-CAZyme中特定CAZyme的分类,并使用CBRF网络数据库进一步使用此信息对真菌进行分类)。®Web服务(AWS),可从http://13.58.192.177/RankEnzymes/about获得。我们坚信CBRF网络数据库可简化在学术界和行业中确定合适真菌的过程。将来,我们打算通过公开发布新的带注释的真菌基因组来更新CBRF网络数据库。
更新日期:2019-12-17
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