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首页> 外文会议>3rd International Congress on Image and Signal Processing >An application software for protein secondary structure prediction based on peptide triplet units and artificial neural networks: Protein secondary structure prediction from amino acid sequences
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An application software for protein secondary structure prediction based on peptide triplet units and artificial neural networks: Protein secondary structure prediction from amino acid sequences

机译：基于肽三联体单元和人工神经网络的蛋白质二级结构预测应用软件：基于氨基酸序列的蛋白质二级结构预测

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摘要

On the basis of a bank of tendentious factors of tripeptide units, a protein secondary structure prediction system (PSSP) was built. Our research results revealed that PSSP represents a higher prediction accuracy of alpha-helix up to 89.45% on average, even the mean correct rate of alpha-helix also achieved 67.78% for all-beta proteins. PSSP only achieved a whole prediction accuracy of 59.46% for total proteins on average, higher than Chou-Fasman method. This system gave a whole accuracy of 72.64% for all-alpha folding proteins but 39.44% for all-beta proteins due to the limited data of extended conformation in train set, the absence of long-range effect, the neglect of hydrogen bridges, and losing sight of specific pairing of complementary charges and the constructive periodicity, whereas only considers conformation biases of tripeptide based on statistics analysis. However, the improved PSSP method availably advances the prediction accuracy, especially all-beta proteins up to 57.92% but all-alpha folding proteins down to 65.30%. PSSP method will play an important role in protein folding, folding codons, molecular design, and structural proteomics.
机译：基于三肽单元趋向因子库，构建了蛋白质二级结构预测系统（PSSP）。我们的研究结果表明，PSSP代表了更高的α-螺旋预测准确度，平均可达89.45％，即使是全β蛋白，α-螺旋的平均正确率也达到了67.78％。 PSSP对总蛋白的整体预测准确度平均仅为59.46％，高于Chou-Fasman方法。该系统对全α折叠蛋白的整体准确度为72.64％，而对全β折叠蛋白的整体准确度为39.44％，这是由于训练集中扩展构象的数据有限，缺乏远距离效应，氢桥的忽略以及忽略了互补电荷的特定配对和构造性周期性，而仅基于统计分析考虑了三肽的构象偏倚。但是，改进的PSSP方法可有效地提高预测准确性，特别是全β蛋白质最多可提高57.92％，而全α折叠蛋白质最多可降低65.30％。 PSSP方法将在蛋白质折叠，折叠密码子，分子设计和结构蛋白质组学中发挥重要作用。

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