Finding weak similarities between proteins by sequence profile comparison
Finding weak similarities between proteins by sequence profile comparison
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DOI：
10.1093/nar/gkg154
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发表时间：
2003-01-15
影响因子：
14.9
通讯作者：
Panchenko, AR
中科院分区：
文献类型：
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作者：
Panchenko, AR
为了提高对蛋白质之间弱相似性的识别，提出了一种比对两个序列图谱的方法。结果表明，探索具有未知属性的序列附近的序列空间可以显着提高序列比对方法的性能。与之前的观察结果一致，轮廓-轮廓比对方法获得的识别灵敏度和比对精度比序列-轮廓比对方法高出30%。事实证明，评分函数的选择和测试配置文件的多样性是实现该方法最大性能的非常重要的因素，而这些参数的最佳范围取决于要识别的相似性水平。
To improve the recognition of weak similarities between proteins a method of aligning two sequence profiles is proposed. It is shown that exploring the sequence space in the vicinity of the sequence with unknown properties significantly improves the performance of sequence alignment methods. Consistent with the previous observations the recognition sensitivity and alignment accuracy obtained by a profile-profile alignment method can be as much as 30% higher compared to the sequence-profile alignment method. It is demonstrated that the choice of score function and the diversity of the test profile are very important factors for achieving the maximum performance of the method, whereas the optimum range of these parameters depends on the level of similarity to be recognized.