Recent progress in protein subcellular location prediction.
暂无分享,去创建一个
[1] P. Mahalanobis. On the generalized distance in statistics , 1936 .
[2] C. Tanford. Contribution of Hydrophobic Interactions to the Stability of the Globular Conformation of Proteins , 1962 .
[3] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[4] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[5] K. R. Woods,et al. Prediction of protein antigenic determinants from amino acid sequences. , 1981, Proceedings of the National Academy of Sciences of the United States of America.
[6] James M. Keller,et al. A fuzzy K-nearest neighbor algorithm , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[7] K Nishikawa,et al. The folding type of a protein is relevant to the amino acid composition. , 1986, Journal of biochemistry.
[8] C. DeLisi,et al. Prediction of protein structural class from the amino acid sequence , 1986, Biopolymers.
[9] P. Klein,et al. Prediction of protein structural class by discriminant analysis. , 1986, Biochimica et biophysica acta.
[10] H. Lodish. Molecular Cell Biology , 1986 .
[11] G. Fasman. Prediction of Protein Structure and the Principles of Protein Conformation , 2012, Springer US.
[12] P. Y. Chou,et al. Prediction of Protein Structural Classes from Amino Acid Compositions , 1989 .
[13] M. Kanehisa,et al. A knowledge base for predicting protein localization sites in eukaryotic cells , 1992, Genomics.
[14] K. Chou,et al. A vectorized sequence-coupling model for predicting HIV protease cleavage sites in proteins. , 1993, The Journal of biological chemistry.
[15] D. Connelly,et al. Cross‐validation of protein structural class prediction using statistical clustering and neural networks , 1993, Protein science : a publication of the Protein Society.
[16] John C. Wootton,et al. Statistics of Local Complexity in Amino Acid Sequences and Sequence Databases , 1993, Comput. Chem..
[17] C. Zhang,et al. Predicting protein folding types by distance functions that make allowances for amino acid interactions. , 1994, The Journal of biological chemistry.
[18] K Nishikawa,et al. Discrimination of intracellular and extracellular proteins using amino acid composition and residue-pair frequencies. , 1994, Journal of molecular biology.
[19] Thierry Denoeux,et al. A k-nearest neighbor classification rule based on Dempster-Shafer theory , 1995, IEEE Trans. Syst. Man Cybern..
[20] K. Chou,et al. Prediction of protein structural classes. , 1995, Critical reviews in biochemistry and molecular biology.
[21] K. Chou. A novel approach to predicting protein structural classes in a (20–1)‐D amino acid composition space , 1995, Proteins.
[22] K. Chou. Prediction of human immunodeficiency virus protease cleavage sites in proteins. , 1996, Analytical biochemistry.
[23] S. Suhai. Theoretical and Computational Methods in Genome Research , 2012, Springer US.
[24] Stephen F. Altschul,et al. Evaluating the Statistical Significance of Multiple Distinct Local Alignments , 1997 .
[25] P. Aloy,et al. Relation between amino acid composition and cellular location of proteins. , 1997, Journal of molecular biology.
[26] Thierry Denoeux,et al. An evidence-theoretic k-NN rule with parameter optimization , 1998, IEEE Trans. Syst. Man Cybern. Part C.
[27] Guo-Ping Zhou,et al. An Intriguing Controversy over Protein Structural Class Prediction , 1998, Journal of protein chemistry.
[28] T. Hubbard,et al. Using neural networks for prediction of the subcellular location of proteins. , 1998, Nucleic acids research.
[29] K. Nakai,et al. PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization. , 1999, Trends in biochemical sciences.
[30] K. Chou,et al. Protein subcellular location prediction. , 1999, Protein engineering.
[31] Zheng Yuan. Prediction of protein subcellular locations using Markov chain models , 1999, FEBS letters.
[32] K. Chou,et al. A key driving force in determination of protein structural classes. , 1999, Biochemical and biophysical research communications.
[33] K. Nakai. Protein sorting signals and prediction of subcellular localization. , 2000, Advances in protein chemistry.
[34] Robert F. Murphy,et al. Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated Analysis of Fluorescence Microscope Images , 2000, ISMB.
[35] K. Chou,et al. Prediction of protein subcellular locations by incorporating quasi-sequence-order effect. , 2000, Biochemical and biophysical research communications.
[36] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[37] S. Brunak,et al. Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. , 2000, Journal of molecular biology.
[38] G P Zhou,et al. Some insights into protein structural class prediction , 2001, Proteins.
[39] C. Zhang,et al. Prediction of the subcellular location of prokaryotic proteins based on the hydrophobicity index of amino acids. , 2001, International journal of biological macromolecules.
[40] K. Chou. Prediction of protein cellular attributes using pseudo‐amino acid composition , 2001, Proteins.
[41] Z. Feng,et al. Prediction of the subcellular location of prokaryotic proteins based on a new representation of the amino acid composition. , 2001, Biopolymers.
[42] Zhirong Sun,et al. Support vector machine approach for protein subcellular localization prediction , 2001, Bioinform..
[43] Alex Bateman,et al. The InterPro database, an integrated documentation resource for protein families, domains and functional sites , 2001, Nucleic Acids Res..
[44] Zhi-Ping Feng,et al. An overview on predicting the subcellular location of a protein , 2002, Silico Biol..
[45] K. Chou,et al. Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location* , 2002, The Journal of Biological Chemistry.
[46] K. Chou,et al. Support vector machines for predicting membrane protein types by using functional domain composition. , 2003, Biophysical journal.
[47] Minoru Kanehisa,et al. Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino acid pairs , 2003, Bioinform..
[48] Guo-Ping Zhou,et al. Subcellular location prediction of apoptosis proteins , 2002, Proteins.
[49] Kuo-Chen Chou,et al. Nearest neighbour algorithm for predicting protein subcellular location by combining functional domain composition and pseudo-amino acid composition. , 2003, Biochemical and biophysical research communications.
[50] Ke Wang,et al. PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria , 2003, Nucleic Acids Res..
[51] Lin He,et al. Application of Pseudo Amino Acid Composition for Predicting Protein Subcellular Location: Stochastic Signal Processing Approach , 2003, Journal of protein chemistry.
[52] K. Chou. Structural bioinformatics and its impact to biomedical science. , 2004, Current medicinal chemistry.
[53] Ying Huang,et al. Prediction of protein subcellular locations using fuzzy k-NN method , 2004, Bioinform..
[54] Z. Huang,et al. Using complexity measure factor to predict protein subcellular location , 2005, Amino Acids.
[55] Cathy H. Wu,et al. UniProt: the Universal Protein knowledgebase , 2004, Nucleic Acids Res..
[56] K. Chou,et al. Prediction of protein subcellular locations by GO-FunD-PseAA predictor. , 2004, Biochemical and biophysical research communications.
[57] Kuo-Chen Chou,et al. Predicting protein structural class by functional domain composition. , 2004, Biochemical and biophysical research communications.
[58] Gert Lubec,et al. Searching for hypothetical proteins: Theory and practice based upon original data and literature , 2005, Progress in Neurobiology.
[59] Chun Yan,et al. Prediction of protein subcellular location using a combined feature of sequence , 2005, FEBS letters.
[60] Yang Dai,et al. An SVM-based system for predicting protein subnuclear localizations , 2005, BMC Bioinformatics.
[61] M. Bhasin,et al. Support Vector Machine-based Method for Subcellular Localization of Human Proteins Using Amino Acid Compositions, Their Order, and Similarity Search* , 2005, Journal of Biological Chemistry.
[62] Kuo-Chen Chou,et al. Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes , 2005, Bioinform..
[63] Kuo-Chen Chou,et al. Predicting protein localization in budding Yeast , 2005, Bioinform..
[64] Jiang Wang,et al. Prediction of protein structural class with Rough Sets , 2006, BMC Bioinformatics.
[65] Jean-Philippe Vert,et al. A novel representation of protein sequences for prediction of subcellular location using support vector machines , 2005, Protein science : a publication of the Protein Society.
[66] Zheng-Zhi Wang,et al. Classification of G-protein coupled receptors at four levels. , 2006, Protein engineering, design & selection : PEDS.
[67] Sukanta Mondal,et al. Pseudo amino acid composition and multi-class support vector machines approach for conotoxin superfamily classification. , 2006, Journal of theoretical biology.
[68] Kuo-Chen Chou,et al. Predicting protein subcellular location by fusing multiple classifiers , 2006, Journal of cellular biochemistry.
[69] Zhen-Hui Zhang,et al. A novel method for apoptosis protein subcellular localization prediction combining encoding based on grouped weight and support vector machine , 2006, FEBS letters.
[70] Peixiang Cai,et al. Predicting protein structural class with pseudo-amino acid composition and support vector machine fusion network. , 2006, Analytical biochemistry.
[71] Yanda Li,et al. Prediction of protein submitochondria locations by hybridizing pseudo-amino acid composition with various physicochemical features of segmented sequence , 2006, BMC Bioinformatics.
[72] Xiangjun Liu,et al. GNBSL: A new integrative system to predict the subcellular location for Gram‐negative bacteria proteins , 2006, Proteomics.
[73] Kuo-Chen Chou,et al. Large-scale predictions of gram-negative bacterial protein subcellular locations. , 2006, Journal of proteome research.
[74] K. Chou,et al. Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization. , 2006, Biochemical and biophysical research communications.
[75] S.-W. Zhang,et al. Prediction of protein subcellular localization by support vector machines using multi-scale energy and pseudo amino acid composition , 2007, Amino Acids.
[76] Yu-Dong Cai,et al. Predicting protease types by hybridizing gene ontology and pseudo amino acid composition , 2006, Proteins.
[77] Xiaoyong Zou,et al. Using pseudo-amino acid composition and support vector machine to predict protein structural class. , 2006, Journal of theoretical biology.
[78] S.-W. Zhang,et al. Prediction of protein homo-oligomer types by pseudo amino acid composition: Approached with an improved feature extraction and Naive Bayes Feature Fusion , 2006, Amino Acids.
[79] Doheon Lee,et al. PLPD: reliable protein localization prediction from imbalanced and overlapped datasets , 2006, Nucleic acids research.
[80] Oliver Kohlbacher,et al. MultiLoc: prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition , 2006, Bioinform..
[81] Kuo-Chen Chou,et al. Predicting eukaryotic protein subcellular location by fusing optimized evidence-theoretic K-Nearest Neighbor classifiers. , 2006, Journal of proteome research.
[82] Kuo-Chen Chou,et al. Large‐scale plant protein subcellular location prediction , 2007, Journal of cellular biochemistry.
[83] Hao Lin,et al. Predicting conotoxin superfamily and family by using pseudo amino acid composition and modified Mahalanobis discriminant. , 2007, Biochemical and biophysical research communications.
[84] K. Chou,et al. Hum-mPLoc: an ensemble classifier for large-scale human protein subcellular location prediction by incorporating samples with multiple sites. , 2007, Biochemical and biophysical research communications.
[85] K. Chou,et al. Virus-PLoc: a fusion classifier for predicting the subcellular localization of viral proteins within host and virus-infected cells. , 2007, Biopolymers.
[86] R. Murphy,et al. Automated subcellular location determination and high-throughput microscopy. , 2007, Developmental cell.
[87] K. Chou,et al. Euk-mPLoc: a fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites. , 2007, Journal of proteome research.
[88] Kuo-Chen Chou,et al. MemType-2L: a web server for predicting membrane proteins and their types by incorporating evolution information through Pse-PSSM. , 2007, Biochemical and biophysical research communications.
[89] S. Brunak,et al. Locating proteins in the cell using TargetP, SignalP and related tools , 2007, Nature Protocols.
[90] Kuo-Chen Chou,et al. Signal-CF: a subsite-coupled and window-fusing approach for predicting signal peptides. , 2007, Biochemical and biophysical research communications.
[91] Qianzhong Li,et al. Using pseudo amino acid composition to predict protein structural class: Approached by incorporating 400 dipeptide components , 2007, J. Comput. Chem..
[92] K. Chou,et al. Gpos-PLoc: an ensemble classifier for predicting subcellular localization of Gram-positive bacterial proteins. , 2007, Protein engineering, design & selection : PEDS.