Prediction of mitochondrial proteins of malaria parasite using bi-profile Bayes feature extraction.
暂无分享,去创建一个
Cangzhi Jia | A. Chang | Tian Liu | Y. Zhai
[1] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[2] Cangzhi Jia,et al. A high-accuracy protein structural class prediction algorithm using predicted secondary structural information. , 2010, Journal of theoretical biology.
[3] G. Raghava,et al. Prediction of mitochondrial proteins of malaria parasite using split amino acid composition and PSSM profile , 2010, Amino Acids.
[4] Jiangning Song,et al. Improving the accuracy of predicting disulfide connectivity by feature selection , 2010, J. Comput. Chem..
[5] Xingming Zhao,et al. Predicting protein–protein interactions from protein sequences using meta predictor , 2010, Amino Acids.
[6] Xing-Ming Zhao,et al. APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility , 2010, BMC Bioinformatics.
[7] Geoffrey I. Webb,et al. Cascleave: towards more accurate prediction of caspase substrate cleavage sites , 2010, Bioinform..
[8] Geoffrey I. Webb,et al. Prodepth: Predict Residue Depth by Support Vector Regression Approach from Protein Sequences Only , 2009, PloS one.
[9] M. Mather,et al. Mitochondrial evolution and functions in malaria parasites. , 2009, Annual review of microbiology.
[10] Jorng-Tzong Horng,et al. Incorporating structural characteristics for identification of protein methylation sites , 2009, J. Comput. Chem..
[11] Gajendra P. S. Raghava,et al. Prediction of guide strand of microRNAs from its sequence and secondary structure , 2009, BMC Bioinformatics.
[12] Dong Xu,et al. Computational Identification of Protein Methylation Sites through Bi-Profile Bayes Feature Extraction , 2009, PloS one.
[13] Dimitrios I. Fotiadis,et al. Prediction of cis/trans isomerization using feature selection and support vector machines , 2009, J. Biomed. Informatics.
[14] Gajendra P.S. Raghava,et al. Prediction of nuclear proteins using SVM and HMM models , 2009, BMC Bioinformatics.
[15] M. Mather,et al. Mitochondria in malaria and related parasites: ancient, diverse and streamlined , 2008, Journal of bioenergetics and biomembranes.
[16] Lukasz A. Kurgan,et al. Sequence based residue depth prediction using evolutionary information and predicted secondary structure , 2008, BMC Bioinformatics.
[17] M. Kanehisa,et al. varDB: a pathogen-specific sequence database of protein families involved in antigenic variation , 2008, Bioinform..
[18] Lukasz A. Kurgan,et al. Prediction of protein structural class using novel evolutionary collocation‐based sequence representation , 2008, J. Comput. Chem..
[19] Jiangning Song,et al. HSEpred: predict half-sphere exposure from protein sequences , 2008, Bioinform..
[20] Lukasz A. Kurgan,et al. SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences , 2008, BMC Bioinformatics.
[21] Lukasz A. Kurgan,et al. Secondary structure-based assignment of the protein structural classes , 2008, Amino Acids.
[22] Jiangning Song,et al. Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure , 2007, Bioinform..
[23] Tatsuya Akutsu,et al. Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition , 2007, BMC Bioinformatics.
[24] K. Chou,et al. Recent progress in protein subcellular location prediction. , 2007, Analytical biochemistry.
[25] Lukasz A. Kurgan,et al. PFRES: protein fold classification by using evolutionary information and predicted secondary structure , 2007, Bioinform..
[26] Zheng Yuan,et al. Quantifying the relationship of protein burying depth and sequence , 2007, Proteins.
[27] Juwen Shen,et al. Predicting protein–protein interactions based only on sequences information , 2007, Proceedings of the National Academy of Sciences.
[28] Hong-Bin Shen,et al. Ensemble classifier for protein fold pattern recognition , 2006, Bioinform..
[29] K. Ginalski. Comparative modeling for protein structure prediction. , 2006, Current opinion in structural biology.
[30] Jiangning Song,et al. Prediction of cis/trans isomerization in proteins using PSI-BLAST profiles and secondary structure information , 2006, BMC Bioinformatics.
[31] Gajendra P S Raghava,et al. Prediction of Mitochondrial Proteins Using Support Vector Machine and Hidden Markov Model* , 2006, Journal of Biological Chemistry.
[32] Eoin Fahy,et al. MITOPRED: a genome-scale method for prediction of nucleus-encoded mitochondrial proteins , 2004, Bioinform..
[33] Eoin Fahy,et al. MITOPRED: a web server for the prediction of mitochondrial proteins , 2004, Nucleic Acids Res..
[34] Gajendra P. S. Raghava,et al. ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST , 2004, Nucleic Acids Res..
[35] G. Schneider,et al. Properties and prediction of mitochondrial transit peptides from Plasmodium falciparum. , 2003, Molecular and biochemical parasitology.
[36] G. Marsaglia,et al. Evaluating Kolmogorov's distribution , 2003 .
[37] Jonathan E. Allen,et al. Genome sequence of the human malaria parasite Plasmodium falciparum , 2002, Nature.
[38] S. Brunak,et al. Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. , 2000, Journal of molecular biology.
[39] L. H. Miller. Table of Percentage Points of Kolmogorov Statistics , 1956 .
[40] F. Massey. The Kolmogorov-Smirnov Test for Goodness of Fit , 1951 .
[41] Keun-Joon Park,et al. Nucleic Acids Research Advance Access published May 21, 2007 WoLF PSORT: protein localization predictor , 2007 .
[42] M. Mather,et al. A post-genomic view of the mitochondrion in malaria parasites. , 2005, Current topics in microbiology and immunology.
[43] M. Stephens. Use of the Kolmogorov-Smirnov, Cramer-Von Mises and Related Statistics without Extensive Tables , 1970 .