基于支持向量机的B细胞线性表位预测模型
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摘要
B细胞表位预测在蛋白抗体制备、疫苗设计中都具有重要的应用。基于支持向量机方法设计了一个B细胞线性表位预测模型,运用了多群集特征选择算法进行特征选择,有效提高了预测准确率。
B-cell epitope prediction has important applications in protein antibody preparation and vaccine design.This paper designs a higher accuracy B-cell linear epitope prediction model based on support vector machine and using Multi-Cluster feature selection.
B-cell epitope prediction has important applications in protein antibody preparation and vaccine design.This paper designs a higher accuracy B-cell linear epitope prediction model based on support vector machine and using Multi-Cluster feature selection.
引文
[1] 程华,成彬,羊红光.线性B细胞表位预测方法研究进展[J].中国免疫学杂志.2017,33:1422-1429.
[2] 卢杨.基于蛋白质侧链信息的B细胞表位预测的机器学习方法[D].东北师范大学,2012.
[3] Wee L J K,Simarmata D,Kam Y W,et al.SVM-based prediction of linear B-cell epitopes using Bayes Feature Extraction[J].BMC genomics,2010,11(S4):S21.
[4] Zhang W,Liu J,Zhao M,et al.Predicting linear B-cell epitopes by using sequence-derived structural and physicochemical features[J].International journal of data nuning and bioinformatics,2012,6(5):557-569.
[5] Chen B,Liu L Y,Qi Z H,et al.Prediction of continuous B-cell epitopes Using Long Short Term Memory Networks[C].Proceedings of 6th International Conference on Bioinformatics and Computational Biology,2018,55-59.
[6] 弓红岩.基于特征选择的线性B细胞表位的预测[D].大连海事大学,2018.
[7] Liu L Y,Chen B,Yang H G.Prediction of linear B-cell Epitopes with PCA Method[C].Proceedings of 6th International Conference on Bioinformatics and Computational Biology,2019,84-89.
[8] Bhasin M,Raghava G P.Prediction of CTL epitopes using QM,SVM and ANN techniques[J].Vaccine,2004,22(23-24):3195.
[9] Elmanzalawy Y,Honavar V.Recent advances in B-cell epitope prediction methods[J].Immunome Research,2010,6(Suppl 2):1-9.
[10] Saha S,Raghava GPS.Prediction of Continuous B-cell Epitopes in an Antigen Using Recurrent Neural Network[J].Proteins.2006,65(1):40-48.
[11] Liang S,Zheng D,Standley D M,et al.MEePthSodVolRog ya anrticdle EPMeta:prediction of antigenic epitopes using support vector regression and multiple server results.BMC Bioinformatics.2010,11:381.
[12] Wang H W,Lin Y C.Prediction of B-cell linear epitopes with a combination of support vector machine classification and amino acid propensity identification[J].Journal of Biomedicine & Biotechnology,2011,2011(2011):432830.
[13] Lin S Y,Cheng C W,Su E C.Prediction of B-cell epitopes using evolutionary information and propensity scales[J].BMC Bioinformatics,2013,14(S2):S10.
[14] Deng Cai,Chiyuan Zhang,Xiaofei He.Unsupervised Feature Selection for Multi-Cluster Data[C].Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining,2010,333-342.
[2] 卢杨.基于蛋白质侧链信息的B细胞表位预测的机器学习方法[D].东北师范大学,2012.
[3] Wee L J K,Simarmata D,Kam Y W,et al.SVM-based prediction of linear B-cell epitopes using Bayes Feature Extraction[J].BMC genomics,2010,11(S4):S21.
[4] Zhang W,Liu J,Zhao M,et al.Predicting linear B-cell epitopes by using sequence-derived structural and physicochemical features[J].International journal of data nuning and bioinformatics,2012,6(5):557-569.
[5] Chen B,Liu L Y,Qi Z H,et al.Prediction of continuous B-cell epitopes Using Long Short Term Memory Networks[C].Proceedings of 6th International Conference on Bioinformatics and Computational Biology,2018,55-59.
[6] 弓红岩.基于特征选择的线性B细胞表位的预测[D].大连海事大学,2018.
[7] Liu L Y,Chen B,Yang H G.Prediction of linear B-cell Epitopes with PCA Method[C].Proceedings of 6th International Conference on Bioinformatics and Computational Biology,2019,84-89.
[8] Bhasin M,Raghava G P.Prediction of CTL epitopes using QM,SVM and ANN techniques[J].Vaccine,2004,22(23-24):3195.
[9] Elmanzalawy Y,Honavar V.Recent advances in B-cell epitope prediction methods[J].Immunome Research,2010,6(Suppl 2):1-9.
[10] Saha S,Raghava GPS.Prediction of Continuous B-cell Epitopes in an Antigen Using Recurrent Neural Network[J].Proteins.2006,65(1):40-48.
[11] Liang S,Zheng D,Standley D M,et al.MEePthSodVolRog ya anrticdle EPMeta:prediction of antigenic epitopes using support vector regression and multiple server results.BMC Bioinformatics.2010,11:381.
[12] Wang H W,Lin Y C.Prediction of B-cell linear epitopes with a combination of support vector machine classification and amino acid propensity identification[J].Journal of Biomedicine & Biotechnology,2011,2011(2011):432830.
[13] Lin S Y,Cheng C W,Su E C.Prediction of B-cell epitopes using evolutionary information and propensity scales[J].BMC Bioinformatics,2013,14(S2):S10.
[14] Deng Cai,Chiyuan Zhang,Xiaofei He.Unsupervised Feature Selection for Multi-Cluster Data[C].Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining,2010,333-342.