| 摘要: |
| 关键蛋白质是指那些在蛋白质相互作用网络中承担重要作用、移除后会使蛋白质复合物功能丧失并导致生物无法存活的节点。随着蛋白质数据库的不断完善和高通量技术的发展,使得通过计算方法的关键蛋白预测得到广泛应用。针对目前软件多为桌面应用程序、用户难以迅速适应的情况,本文设计并实现了一个基于WEB的关键蛋白质预测平台Essential Protein Finder(EP Finder)。该平台集成了DC、BC、CC、EC、LAC、SC和NC7种关键蛋白质预测算法,还提供包含SN、SP、PPV、NPV、ACC、F和折刀曲线图在内的7种评估方法。平台对蛋白质网络图、算法运行及评估结果提供了可视化展示。该平台具有良好的扩展性。 |
| 关键词: 蛋白质网络 关键蛋白质 WEB平台 |
| DOI：10.3969/j.issn.1672-5565.2014-02.20140202 |
| 分类号:Q753 |
| 基金项目:国家自然科学基金(No.61370024)；教育部新世纪优秀人才支持计划(NCET-12-0547)资助。 |
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| A WEB-based platform for predicting essential proteins |
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ZHENG Ruiqing, LI Min
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(School of Information Science and Engineering, Central South University, Changsha 410083,China)
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| Abstract: |
| Essential proteins are those proteins playing an important role in the protein-protein interaction network, and removal of these proteins will result in a loss of protein complexes′ function and death of organism. The improvement of protein databases and the development of the high-throughput technology have made the computational methods be widely used in prediction of essential proteins. Because the current software is mostly desktop applications, it is difficult to be adapted quickly. Therefore, this paper designs and implements an WEB based protein prediction platform, Essential Protein Finder (EP Finder). It not only integrates seven essential protein prediction algorithms like DC, BC, CC, EC, LAC, SCand NC, but also provides seven evaluation measures, including SN, ACC, PPV, SP, NPV, F and a chart of AUC. The Platform provides the visual display of protein-protein interaction network, results of algorithms and evaluations. This platform is very scalable as new algorithms and layout methods can be added conveniently. |
| Key words: Essential protein Protein-protein interaction network Web platform |
