Better prediction of sub‐cellular localization by combining evolutionary and structural information
暂无分享,去创建一个
[1] Michael R. Anderberg,et al. Cluster Analysis for Applications , 1973 .
[2] B. Matthews. Comparison of the predicted and observed secondary structure of T4 phage lysozyme. , 1975, Biochimica et biophysica acta.
[3] G J Williams,et al. The Protein Data Bank: a computer-based archival file for macromolecular structures. , 1978, Archives of biochemistry and biophysics.
[4] W. Kabsch,et al. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features , 1983, Biopolymers.
[5] K. Nishikawa,et al. Classification of proteins into groups based on amino acid composition and other characters. I. Angular distribution. , 1983, Journal of biochemistry.
[6] K. Nishikawa,et al. Classification of proteins into groups based on amino acid composition and other characters. II. Grouping into four types. , 1983, Journal of biochemistry.
[7] M. L. Connolly. Solvent-accessible surfaces of proteins and nucleic acids. , 1983, Science.
[8] M. Kanehisa,et al. Cluster analysis of amino acid indices for prediction of protein structure and function. , 1988, Protein engineering.
[9] V. Brumfeld,et al. Structural distinction between soluble and particulate protein kinase C species , 1990, Journal of protein chemistry.
[10] C. Sander,et al. Database of homology‐derived protein structures and the structural meaning of sequence alignment , 1991, Proteins.
[11] M. Kanehisa,et al. A knowledge base for predicting protein localization sites in eukaryotic cells , 1992, Genomics.
[12] Chris Sander,et al. Jury returns on structure prediction , 1992, Nature.
[13] B. Rost,et al. Improved prediction of protein secondary structure by use of sequence profiles and neural networks. , 1993, Proceedings of the National Academy of Sciences of the United States of America.
[14] B. Rost,et al. Prediction of protein secondary structure at better than 70% accuracy. , 1993, Journal of molecular biology.
[15] B. Rost,et al. Combining evolutionary information and neural networks to predict protein secondary structure , 1994, Proteins.
[16] B. Rost,et al. Conservation and prediction of solvent accessibility in protein families , 1994, Proteins.
[17] U. Hobohm,et al. Enlarged representative set of protein structures , 1994, Protein science : a publication of the Protein Society.
[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] Protein sorting signals: simple peptides with complex functions. , 1995, EXS.
[20] S. Mahalingam,et al. Functional analysis of HIV-1 Vpr: identification of determinants essential for subcellular localization. , 1995, Virology.
[21] D A Kendall,et al. Protein transport via amino-terminal targeting sequences: common themes in diverse systems. , 1995, Molecular membrane biology.
[22] B. Rost. PHD: predicting one-dimensional protein structure by profile-based neural networks. , 1996, Methods in enzymology.
[23] Paul Horton,et al. A Probabilistic Classification System for Predicting the Cellular Localization Sites of Proteins , 1996, ISMB.
[24] B Rost,et al. Bridging the protein sequence-structure gap by structure predictions. , 1996, Annual review of biophysics and biomolecular structure.
[25] B. Dobberstein,et al. Common Principles of Protein Translocation Across Membranes , 1996, Science.
[26] P Vincens,et al. Computational method to predict mitochondrially imported proteins and their targeting sequences. , 1996, European journal of biochemistry.
[27] S. Brunak,et al. Defining a similarity threshold for a functional protein sequence pattern: The signal peptide cleavage site , 1996, Proteins.
[28] A A Salamov,et al. Protein secondary structure prediction using local alignments. , 1997, Journal of molecular biology.
[29] S. Brunak,et al. SHORT COMMUNICATION Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites , 1997 .
[30] P. Aloy,et al. Relation between amino acid composition and cellular location of proteins. , 1997, Journal of molecular biology.
[31] Paul Horton,et al. Better Prediction of Protein Cellular Localization Sites with the it k Nearest Neighbors Classifier , 1997, ISMB.
[32] Rolf Apweiler,et al. The SWISS-PROT protein sequence data bank and its supplement TrEMBL , 1997, Nucleic Acids Res..
[33] Søren Brunak,et al. A Neural Network Method for Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of their Cleavage Sites , 1997, Int. J. Neural Syst..
[34] I. Mattaj,et al. Nucleocytoplasmic transport: the soluble phase. , 1998, Annual review of biochemistry.
[35] P Bork,et al. Wanted: subcellular localization of proteins based on sequence. , 1998, Trends in cell biology.
[36] Yan P. Yuan,et al. Predicting function: from genes to genomes and back. , 1998, Journal of molecular biology.
[37] B. Rost,et al. Adaptation of protein surfaces to subcellular location. , 1998, Journal of molecular biology.
[38] K. Weis,et al. Importins and exportins: how to get in and out of the nucleus. , 1998, Trends in biochemical sciences.
[39] Chris Sander,et al. EUCLID: automatic classification of proteins in functional classes by their database annotations , 1998, Bioinform..
[40] T. Hubbard,et al. Using neural networks for prediction of the subcellular location of proteins. , 1998, Nucleic acids research.
[41] K. Nakai,et al. PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization. , 1999, Trends in biochemical sciences.
[42] Zheng Yuan. Prediction of protein subcellular locations using Markov chain models , 1999, FEBS letters.
[43] K Karplus,et al. Predicting protein structure using only sequence information , 1999, Proteins.
[44] B. Rost. Twilight zone of protein sequence alignments. , 1999, Protein engineering.
[45] D T Jones,et al. Protein secondary structure prediction based on position-specific scoring matrices. , 1999, Journal of molecular biology.
[46] G. Heijne,et al. ChloroP, a neural network‐based method for predicting chloroplast transit peptides and their cleavage sites , 1999, Protein science : a publication of the Protein Society.
[47] G J Barton,et al. Application of multiple sequence alignment profiles to improve protein secondary structure prediction , 2000, Proteins.
[48] E V Koonin,et al. Bridging the gap between sequence and function. , 2000, Trends in genetics : TIG.
[49] M. Ashburner,et al. Annotating eukaryote genomes. , 2000, Current opinion in structural biology.
[50] B. Rost,et al. Finding nuclear localization signals , 2000, EMBO reports.
[51] K. Chou,et al. Using neural networks for prediction of subcellular location of prokaryotic and eukaryotic proteins. , 2000, Molecular cell biology research communications : MCBRC.
[52] C. Sensen,et al. MAGPIE/EGRET annotation of the 2.9-Mb Drosophila melanogaster Adh region. , 2000, Genome research.
[53] K. Nakai. Protein sorting signals and prediction of subcellular localization. , 2000, Advances in protein chemistry.
[54] T. N. Bhat,et al. The Protein Data Bank , 2000, Nucleic Acids Res..
[55] Rolf Apweiler,et al. The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000 , 2000, Nucleic Acids Res..
[56] M Ouali,et al. Cascaded multiple classifiers for secondary structure prediction , 2000, Protein science : a publication of the Protein Society.
[57] K. Chou,et al. Prediction of protein subcellular locations by incorporating quasi-sequence-order effect. , 2000, Biochemical and biophysical research communications.
[58] M. Gerstein. Annotation of the Human Genome , 2000, Science.
[59] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[60] D. Eisenberg,et al. Protein function in the post-genomic era , 2000, Nature.
[61] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[62] M. Gerstein,et al. A Bayesian system integrating expression data with sequence patterns for localizing proteins: comprehensive application to the yeast genome. , 2000, Journal of molecular biology.
[63] D. Eisenberg,et al. Localizing proteins in the cell from their phylogenetic profiles. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[64] S. Brunak,et al. Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. , 2000, Journal of molecular biology.
[65] M. Ashburner,et al. A biologist's view of the Drosophila genome annotation assessment project. , 2000, Genome research.
[66] M. Kamata,et al. Two Putative α-Helical Domains of Human Immunodeficiency Virus Type 1 Vpr Mediate Nuclear Localization by at Least Two Mechanisms , 2000, Journal of Virology.
[67] I. Vorberg,et al. Deletion of β-Strand and α-Helix Secondary Structure in Normal Prion Protein Inhibits Formation of Its Protease-Resistant Isoform , 2001, Journal of Virology.
[68] K. Chou. Prediction of protein cellular attributes using pseudo‐amino acid composition , 2001 .
[69] Marc A. Martí-Renom,et al. EVA: continuous automatic evaluation of protein structure prediction servers , 2001, Bioinform..
[70] K. Chou. Prediction of protein cellular attributes using pseudo‐amino acid composition , 2001, Proteins.
[71] G von Heijne,et al. Prediction of organellar targeting signals. , 2001, Biochimica et biophysica acta.
[72] K. Nakai. Review: prediction of in vivo fates of proteins in the era of genomics and proteomics. , 2001, Journal of structural biology.
[73] B. Rost,et al. Comparing function and structure between entire proteomes , 2001, Protein science : a publication of the Protein Society.
[74] Zhirong Sun,et al. Support vector machine approach for protein subcellular localization prediction , 2001, Bioinform..
[75] M. Hodel,et al. Dissection of a Nuclear Localization Signal* , 2001, The Journal of Biological Chemistry.
[76] E V Koonin. Computational genomics , 2001, Current Biology.
[77] K. Chou,et al. Support vector machines for prediction of protein subcellular location by incorporating quasi‐sequence‐order effect , 2002, Journal of cellular biochemistry.
[78] Burkhard Rost,et al. Inferring sub-cellular localization through automated lexical analysis , 2002, ISMB.
[79] B. Rost,et al. Alignments grow, secondary structure prediction improves , 2002, Proteins.
[80] M. Gerstein,et al. Subcellular localization of the yeast proteome. , 2002, Genes & development.
[81] Burkhard Rost,et al. Sequence conserved for subcellular localization , 2002, Protein science : a publication of the Protein Society.
[82] Burkhard Rost,et al. Target space for structural genomics revisited , 2002, Bioinform..
[83] Peer Bork,et al. Predicting protein cellular localization using a domain projection method. , 2002, Genome research.
[84] B. Rost. Enzyme function less conserved than anticipated. , 2002, Journal of molecular biology.
[85] Burkhard Rost,et al. Did evolution leap to create the protein universe? , 2002, Current opinion in structural biology.
[86] K. Chou,et al. Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location* , 2002, The Journal of Biological Chemistry.
[87] K-L Ting,et al. Combining the GOR V algorithm with evolutionary information for protein secondary structure prediction from amino acid sequence , 2002, Proteins.
[88] Søren Brunak,et al. NESbase version 1.0: a database of nuclear export signals , 2003, Nucleic Acids Res..
[89] Burkhard Rost,et al. LOC3D: annotate sub-cellular localization for protein structures , 2003, Nucleic Acids Res..
[90] Maria Jesus Martin,et al. The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003 , 2003, Nucleic Acids Res..
[91] Burkhard Rost,et al. NLSdb: database of nuclear localization signals , 2003, Nucleic Acids Res..