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通过多样性增加对突触前和突触后神经毒素进行预测。

Prediction of presynaptic and postsynaptic neurotoxins by the increment of diversity.

作者信息

Yang Lei, Li Qianzhong

机构信息

Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, 235 West Daxue Road, Hohhot, Inner Mongolia 010021, China.

出版信息

Toxicol In Vitro. 2009 Mar;23(2):346-8. doi: 10.1016/j.tiv.2008.12.015. Epub 2008 Dec 25.

Abstract

Presynaptic and postsynaptic neurotoxins have very important application in basic research and drug design. The successful prediction of neurotoxin is becoming an important task in recent years. In this study, based on the concept of Chou's pseudo-amino acid compositions, an algorithm of increment of diversity (ID) is proposed for predicting presynaptic and postsynaptic neurotoxins. The results of jackknife test show that the accuracies of prediction are 90.23% for presynaptic neurotoxins and 89.40% for postsynaptic neurotoxins. In addition, toxins and non-toxins are also predicted by using this algorithm.

摘要

突触前和突触后神经毒素在基础研究和药物设计中具有非常重要的应用。近年来,神经毒素的成功预测正成为一项重要任务。在本研究中,基于周的伪氨基酸组成概念,提出了一种多样性增量(ID)算法来预测突触前和突触后神经毒素。留一法检验结果表明,突触前神经毒素的预测准确率为90.23%,突触后神经毒素的预测准确率为89.40%。此外,还使用该算法对毒素和非毒素进行了预测。

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