The IntFOLD server: an integrated web resource for protein fold recognition, 3D model quality assessment, intrinsic disorder prediction, domain prediction and ligand binding site prediction.

The IntFOLD server: an integrated web resource for protein fold recognition, 3D model quality assessment, intrinsic disorder prediction, domain prediction and ligand binding site prediction.
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DOI:
10.1093/nar/gkr184
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发表时间:
2011-07
影响因子:
14.9
通讯作者:
McGuffin LJ
McGuffin LJ
中科院分区:
生物学2区
文献类型:
--
作者:
Roche DB;Buenavista MT;Tetchner SJ;McGuffin LJ

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IntFOLD服务器是一种新型的独立服务器,它集成了几种最先进的方法来预测序列的结构和功能。我们在服务器开发背后的指导原则如下:(i)提供一个简单的统一资源,使我们的预测软件对所有人都可访问;(ii)为易于解释的预测产生集成输出。预测的输出呈现为一个简单的表格,通过图表和注释的3D模型以图形方式总结了所有结果。每组预测的原始机器可读数据文件也提供给开发人员,这些文件符合蛋白质结构预测方法的关键评估(CASP)数据标准。该服务器包括五种新方法的集成套件:用于三级结构预测的nFOLD4;ModFOLD 3.0,用于模型质量评估;DISOclust 2.0,用于疾病预测;DomFOLD 2.0用于域预测;和FunFOLD 1.0,用于配体结合位点预测。在最近的CASP9实验中,发现来自IntFOLD服务器的预测在几个类别中具有竞争力。IntFOLD服务器可在以下网站获得:http://www.reading.ac.uk/bioinf/IntFOLD/。
The IntFOLD server is a novel independent server that integrates several cutting edge methods for the prediction of structure and function from sequence. Our guiding principles behind the server development were as follows: (i) to provide a simple unified resource that makes our prediction software accessible to all and (ii) to produce integrated output for predictions that can be easily interpreted. The output for predictions is presented as a simple table that summarizes all results graphically via plots and annotated 3D models. The raw machine readable data files for each set of predictions are also provided for developers, which comply with the Critical Assessment of Methods for Protein Structure Prediction (CASP) data standards. The server comprises an integrated suite of five novel methods: nFOLD4, for tertiary structure prediction; ModFOLD 3.0, for model quality assessment; DISOclust 2.0, for disorder prediction; DomFOLD 2.0 for domain prediction; and FunFOLD 1.0, for ligand binding site prediction. Predictions from the IntFOLD server were found to be competitive in several categories in the recent CASP9 experiment. The IntFOLD server is available at the following web site: http://www.reading.ac.uk/bioinf/IntFOLD/.
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