Cpipe：一个用于基于序列和结构的半胱氨酸残基分析的综合计算平台。
Cpipe: a comprehensive computational platform for sequence and structure-based analyses of Cysteine residues.
机构信息
Department of Agricultural Biotechnology, Akdeniz University, Antalya, 07058, Turkey.
R&D Department, Explora Biotech Srl., Venice, 30172, Italy.
出版信息
Bioinformatics. 2017 Aug 1;33(15):2395-2396. doi: 10.1093/bioinformatics/btx181.
SUMMARY
Due to their chemical plasticity, Cysteine residues (Cys) can serve many different functions. Identification and classification of reactive Cys isn't a trivial job: currently, no available tool exists for an all-round, comprehensive (inclusive of all different functional types) analysis of Cys; herein we present a computational platform called Cp i pe, dedicated to this task: it implements state-of-the art protocols, elaborating and displaying a wealth of information, sufficiently orthogonal to allow a thorough evaluation of all major aspects of Cys reactivity.
AVAILABILITY AND IMPLEMENTATION
Cp i pe is implemented in Python and freely available at http://cpipe.explora-biotech.com/cpipe/start.py . All major browsers are supported.
CONTACT
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
摘要
由于半胱氨酸残基（Cys）的化学可塑性，它们可以发挥许多不同的功能。识别和分类反应性 Cys 并非易事：目前，尚无可用的工具可全面、综合（包括所有不同功能类型）地分析 Cys；在此，我们介绍了一个名为 Cp i pe 的计算平台，专门用于解决此任务：它实现了最先进的协议，详细展示了丰富的信息，具有足够的正交性，可以彻底评估 Cys 反应性的所有主要方面。
可用性和实现
Cp i pe 是用 Python 编写的，并可在 http://cpipe.explora-biotech.com/cpipe/start.py 免费获得。支持所有主流浏览器。
联系人
补充信息
补充数据可在Bioinformatics 在线获得。
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