Background: ZIKV has been a well-known global threat, which hits almost all of the American countries and posed a serious threat to the entire globe in 2016. The first outbreak of ZIKV was reported in 2007 in the Pacific area, followed by another severe outbreak, which occurred in 2013/2014 and subsequently, ZIKV spread to all other Pacific islands. A broad spectrum of ZIKV associated neurological malformations in neonates and adults has driven this deadly virus into the limelight. Though tremendous efforts have been focused on understanding the molecular basis of ZIKV, the viral proteins of ZIKV have still not been studied extensively.

Objectives: Herein, we report the first and the novel predictor for the identification of ZIKV proteins.

Methods: We have employed Chou’s pseudo amino acid composition (PseAAC), statistical moments and various position-based features.

Results: The predictor is validated through 10-fold cross-validation and Jackknife testing. In 10- fold cross-validation, 94.09% accuracy, 93.48% specificity, 94.20% sensitivity and 0.80 MCC were achieved while in Jackknife testing, 96.62% accuracy, 94.57% specificity, 97.00% sensitivity and 0.88 MCC were achieved.

Conclusion: Thus, ZIKVPred-PseAAC can help in predicting the ZIKV proteins efficiently and accurately and can provide baseline data for the discovery of new drugs and biomarkers against ZIKV.

背景：ZIKV一直是众所周知的全球性威胁，几乎袭击了所有美国国家，并在2016年对整个全球构成了严重威胁。ZIKV的首次爆发是在2007年在太平洋地区报道的，随后又是一次严重的爆发。爆发于2013/2014年，随后ZIKV蔓延至所有其他太平洋岛屿。新生儿和成年人中与ZIKV相关的神经系统畸形的广泛范围已使这种致命病毒成为众人关注的焦点。尽管已经付出了巨大的努力来了解ZIKV的分子基础，但是ZIKV的病毒蛋白仍未得到广泛研究。

目标：本文中，我们报告了ZIKV蛋白鉴定的第一个和新颖的预测因子。

方法：我们使用了周氏假氨基酸组成（PseAAC），统计矩和各种基于位置的特征。

结果：通过10倍交叉验证和折刀测试对预测变量进行了验证。在10倍交叉验证中，达到94.09％的准确度，93.48％的特异性，94.20％的敏感性和0.80 MCC，而在折刀测试中，达到了96.62％的准确度，94.57％的特异性，97.00％敏感性和0.88 MCC。

结论：因此，ZIKVPred-PseAAC可以帮助有效和准确地预测ZIKV蛋白，并可以为发现针对ZIKV的新药物和生物标记物提供基础数据。