Predicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid properties.
Predicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid properties.
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DOI：
10.1371/journal.pone.0014556
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发表时间：
2011-01-19
期刊：
影响因子：
3.7
通讯作者：
Chou KC
中科院分区：
文献类型：
--
作者：
Hu L;Huang T;Shi X;Lu WC;Cai YD;Chou KC
随着后基因组时代产生的大量未表征的蛋白质序列，开发有效的计算方法来快速准确地预测它们的功能是非常必要的。这样获得的信息将对基础研究和药物开发都非常有用。虽然在这方面已经做了很多努力，但大多数都是基于序列相似性或蛋白质-蛋白质相互作用(PPI)信息。然而，如果查询的蛋白质与任何功能已知的蛋白质没有或几乎没有序列相似性，前者往往无法工作，而后者如果没有相关的PPI信息，则会出现类似的问题。鉴于此，提出了一种将蛋白质序列的PPI信息和生化/物理化学特征相结合的新方法。训练集和测试集对小鼠蛋白质功能的总预测一阶成功率分别为69.1%和70.2%，前四阶的结果覆盖了总共24个阶的结果，成功率为65.2%。结果表明，该方法具有很好的应用前景，为解决这一复杂难题开辟了新的途径和方向。
With the huge amount of uncharacterized protein sequences generated in the post-genomic age, it is highly desirable to develop effective computational methods for quickly and accurately predicting their functions. The information thus obtained would be very useful for both basic research and drug development in a timely manner. Although many efforts have been made in this regard, most of them were based on either sequence similarity or protein-protein interaction (PPI) information. However, the former often fails to work if a query protein has no or very little sequence similarity to any function-known proteins, while the latter had similar problem if the relevant PPI information is not available. In view of this, a new approach is proposed by hybridizing the PPI information and the biochemical/physicochemical features of protein sequences. The overall first-order success rates by the new predictor for the functions of mouse proteins on training set and test set were 69.1% and 70.2%, respectively, and the success rate covered by the results of the top-4 order from a total of 24 orders was 65.2%. The results indicate that the new approach is quite promising that may open a new avenue or direction for addressing the difficult and complicated problem.
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影响因子：
5.8
作者：
Chou, KC
通讯作者：
Chou, KC
影响因子：
7
作者：
Camon, E;Magrane, M;Apweiler, R
通讯作者：
Apweiler, R
影响因子：
14.8
作者：
Afjehi-Sadat, Leila;Lubec, Gert
通讯作者：
Lubec, Gert
DOI：
10.1002/prot.340210406
发表时间：
1995-04-01
期刊：
PROTEINS-STRUCTURE FUNCTION AND GENETICS
影响因子：
--
作者：
CHOU, KC
通讯作者：
CHOU, KC
影响因子：
5.8
作者：
Cai, YD;Doig, AJ
通讯作者：
Doig, AJ