Background: Lectins are a diverse group of glycoproteins or glycoconjugate proteins that can be extracted from plants, invertebrates and higher animals. Cancerlectins, a kind of lectins, which play a key role in the process of tumor cells interacting with each other and are being employed as therapeutic agents. A full understanding of cancerlectins is significant because it provides a tool for the future direction of cancer therapy.

Objective: To develop an accurate and practically useful timesaving tool to identify cancerlectins. A novel sequence-based method is proposed along with a correlative webserver to access the proposed tool.

Methods: Firstly, protein features were extracted in a newly feature building way termed, g-gap tripeptide composition. After which a proposed cascade linear discriminant analysis (Cascade LDA) is used to alleviate the high dimensional difficulties with the Analysis Of Variance (ANOVA) as a feature importance criterion. Finally, Support Vector Machine (SVM) is used as the classifier to identify cancerlectins.

Results: The proposed method achieved an accuracy of 91.34% with sensitivity of 89.89%, specificity of 92.48% and an 0.8318 Mathew’s correlation coefficient based on only 13 fusion features in jackknife cross validation, the result of which is superior to other published methods in this domain.

Conclusion: In this study, a new method based only on primary structure of protein is proposed and experimental results show that it could be a promising tool to identify cancerlectins. An openaccess webserver is made available in this work to facilitate other related works.

背景：凝集素是可从植物，无脊椎动物和高等动物中提取的多种糖蛋白或糖缀合物蛋白。癌性凝集素是一种凝集素，在肿瘤细胞彼此相互作用的过程中起关键作用，并被用作治疗剂。充分了解抗癌素很重要，因为它为癌症治疗的未来方向提供了一种工具。

目的：开发一种准确，实用的省时工具来鉴定癌菌凝集素。提出了一种基于序列的新颖方法以及相关的Web服务器，以访问提出的工具。

方法：首先，以一种称为g-gap三肽组合物的新特征构建方式提取蛋白质特征。之后，以方差分析（ANOVA）作为特征重要性标准，使用拟议的级联线性判别分析（Cascade LDA）缓解高维困难。最后，使用支持向量机（SVM）作为分类器来鉴定癌菌素。

结果：该方法仅通过13个融合特征在折刀交叉验证中获得了91.34％的准确度，89.89％的灵敏度，92.48％的特异性和0.8318的Mathew相关系数，其结果优于本方法中的其他已发表方法。域。

结论：本研究提出了一种仅基于蛋白质一级结构的新方法，实验结果表明该方法可以作为一种鉴定癌铁蛋白的有前途的工具。在这项工作中提供了一个openaccess网络服务器，以促进其他相关工作。