Improvement of protein disorder prediction by brainstorming consensus

机译：通过头脑风暴达成共识来改善蛋白质疾病的预测

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Deciphering the structure of a protein is essential towards understanding its functions. But there are proteins which undergo arbitrary changes in their tertiary structure. It is possible for a protein to be completely unstructured or be partially unstructured. Even though such proteins, known as intrinsically disordered proteins (IDP), do not have a fixed structure, they have an important biological role to play. We have designed a system which combines the results obtained from other state-of-the-art predictors to arrive at a single prediction. Most of the predictors have their own advantages and disadvantages. In this consensus scheme we have tried to overcome the disadvantages of one predictor by combining it with another. By combining 10 state-of-the art predictors we could achieve an increase of 15% in terms of recall on a dataset of 261 proteins.

机译：解密蛋白质的结构对于理解其功能至关重要。但是有些蛋白质的三级结构会发生任意变化。蛋白质有可能完全非结构化或部分非结构化。即使此类蛋白质（称为内在无序蛋白质（IDP））没有固定的结构，但它们仍具有重要的生物学作用。我们设计了一个系统，该系统将从其他最新的预测变量获得的结果进行组合，以得出单个预测。大多数预测变量都有其自身的优缺点。在这种共识方案中，我们试图通过将一个预测变量与另一个预测变量组合来克服其缺点。通过组合10种最新的预测因子，我们可以在261种蛋白质的数据集上实现召回率提高15％。

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来源
《2015 International Conference and Workshop on Computing and Communication》|2015年|1-7|共7页
会议地点 Vancouver(CA)
作者
Banerjee Sagnik; Guha Saytaki; Dutta Arkamit; Dutta Sidartha;
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作者单位

Department of Electronics and Communication Engineering, Institute of Engineering and Management, Kolkata, India;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Amino acids; Computer science; Measurement; Nuclear magnetic resonance; Predictive models; Protein sequence; homology modelling; machine learning; meta-consensus; n-star consensus; protein disorder prediction;

机译：氨基酸;计算机科学;测量;核磁共振;预测模型;蛋白质序列;同源性建模;机器学习;元共识; n星共识;蛋白质异常预测;;

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专利

1. PSP-MCSVM: Brainstorming consensus prediction of protein secondary structures using two-stage multiclass support vector machines [J] . Chatterjee P., Basu S., Kundu M., Journal of molecular modeling . 2011,第9期

机译：PSP-MCSVM：使用两阶段多类支持向量机进行头脑风暴的蛋白质二级结构共识预测
2. PSP_MCSVM: brainstorming consensus prediction of protein secondary structures using two-stage multiclass support vector machines [J] . Piyali Chatterjee, Subhadip Basu, Mahantapas Kundu, Journal of Molecular Modeling . 2011,第9期

机译：PSP_MCSVM：使用两阶段多类支持向量机集思广益地预测蛋白质二级结构
3. MobiDB-lite: fast and highly specific consensus prediction of intrinsic disorder in proteins [J] . Bioinformatics . 2017,第9期

机译：MobidB-Lite：蛋白质中内在疾病的快速和高度具体的共识预测
4. Improvement of protein disorder prediction by brainstorming consensus [C] . Banerjee Sagnik, Guha Saytaki, Dutta Arkamit, International Conference and Workshop on Computing and Communication . 2015

机译：通过头脑风暴共识改善蛋白质障碍预测
5. Protein structure prediction and conformational transitions. I. Improvement of protein secondary structure prediction. II. Pathways of conformational transition originating in phosphorylation: A study of CDK2 using targeted molecular dynamics and coarse grained models [D] . Cheng, Haitao 2009

机译：蛋白质结构预测和构象过渡。 I.改善蛋白质二级结构预测。 II。源于磷酸化的构象过渡的途径：使用靶分子动力学和粗粒模型的CDK2研究
6. PSP_MCSVM: brainstorming consensus prediction of protein secondary structures using two-stage multiclass support vector machines [O] . Piyali Chatterjee, Subhadip Basu, Mahantapas Kundu, -1

机译：PSP_MCSVM：使用两阶段多类支持向量机集思广益地预测蛋白质二级结构
7. PSP_MCSVM: brainstorming consensus prediction of protein secondary structures using two-stage multiclass support vector machines [O] . Piyali Chatterjee, Subhadip Basu, Mahantapas Kundu, 2011

机译：PSP_MCSVM：使用两阶段多类支持向量机集思广益地预测蛋白质二级结构

Improvement of protein disorder prediction by brainstorming consensus

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