Exploring the Adenylation Domain Repertoire of Nonribosomal Peptide Synthetases Using an Ensemble of Sequence-Search Methods
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Vitor Vasconcelos | Aminael Sánchez-Rodríguez | Guillermin Agüero-Chapin | Reinaldo Molina-Ruiz | Agostinho Antunes | Emanuel Maldonado | A. Antunes | Guillermín Agüero-Chapín | G. A. de la Riva | A. Sánchez-Rodríguez | Emanuel Maldonado | V. Vasconcelos | Reinaldo Molina-Ruiz | Gustavo de la Riva
[1] Reinaldo Molina Ruiz,et al. An Alignment-Free Approach for Eukaryotic ITS2 Annotation and Phylogenetic Inference , 2011, IWBBIO.
[2] Gajendra P. S. Raghava,et al. COPid: Composition Based Protein Identification , 2008, Silico Biol..
[3] P. Kollman,et al. A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules , 1995 .
[4] Kuo-Chen Chou,et al. Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes , 2005, Bioinform..
[5] Milan Randic,et al. On Interpretation of Well-Known Topological Indices , 2001, J. Chem. Inf. Comput. Sci..
[6] Milan Randić,et al. Graphical representations of DNA as 2-D map , 2004 .
[7] Humberto González-Díaz,et al. Alignment-free prediction of polygalacturonases with pseudofolding topological indices: experimental isolation from Coffea arabica and prediction of a new sequence. , 2009, Journal of proteome research.
[8] Ernesto Estrada,et al. In Silico Studies toward the Discovery of New Anti-HIV Nucleoside Compounds through the Use of TOPS-MODE and 2D/3D Connectivity Indices. 2. Purine Derivatives , 2005, J. Chem. Inf. Model..
[9] Alexander Keller,et al. The ITS2 Database III—sequences and structures for phylogeny , 2009, Nucleic Acids Res..
[10] Francisco Torrens,et al. 3D-chiral quadratic indices of the 'molecular pseudograph's atom adjacency matrix' and their application to central chirality codification: classification of ACE inhibitors and prediction of sigma-receptor antagonist activities. , 2004, Bioorganic & medicinal chemistry.
[11] J. Thompson,et al. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. , 1994, Nucleic acids research.
[12] Humberto González-Díaz,et al. Novel 2D maps and coupling numbers for protein sequences. The first QSAR study of polygalacturonases; isolation and prediction of a novel sequence from Psidium guajava L. , 2006, FEBS letters.
[13] Lourdes Santana,et al. A QSAR model for in silico screening of MAO-A inhibitors. Prediction, synthesis, and biological assay of novel coumarins. , 2006, Journal of medicinal chemistry.
[14] M. Randic,et al. Highly compact 2D graphical representation of DNA sequences , 2004, SAR and QSAR in environmental research.
[15] U. Hobohm,et al. A sequence property approach to searching protein databases. , 1995, Journal of molecular biology.
[16] Gitanjali Yadav,et al. NRPS-PKS: a knowledge-based resource for analysis of NRPS/PKS megasynthases , 2004, Nucleic Acids Res..
[17] Tomaz Pisanski,et al. Graphical representation of proteins as four-color maps and their numerical characterization. , 2009, Journal of molecular graphics & modelling.
[18] Etsuko N Moriyama,et al. Simple alignment-free methods for protein classification: a case study from G-protein-coupled receptors. , 2007, Genomics.
[19] K. Chou. Prediction of protein cellular attributes using pseudo‐amino acid composition , 2001 .
[20] Jos Boekhorst,et al. Identification of homologs in insignificant blast hits by exploiting extrinsic gene properties , 2007, BMC Bioinformatics.
[21] Ernesto Estrada,et al. Spectral Moments of the Edge Adjacency Matrix in Molecular Graphs, 1. Definition and Applications to the Prediction of Physical Properties of Alkanes , 1996, J. Chem. Inf. Comput. Sci..
[22] Dejan Plavšić,et al. Four-color map representation of DNA or RNA sequences and their numerical characterization , 2005 .
[23] Gerard Talavera,et al. Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments. , 2007, Systematic biology.
[24] Milan Randic. Very efficient search for protein alignment—VESPA , 2012, J. Comput. Chem..
[25] Yunierkis Pérez-Castillo,et al. TI2BioP: Topological Indices to BioPolymers. Its practical use to unravel cryptic bacteriocin-like domains , 2011, Amino Acids.
[26] E. Myers,et al. Basic local alignment search tool. , 1990, Journal of molecular biology.
[27] Kuo-Chen Chou,et al. Prediction of protein secondary structure content by artificial neural network , 2003, J. Comput. Chem..
[28] V. Barnett,et al. Applied Linear Statistical Models , 1975 .
[29] K. Chou. Prediction of protein cellular attributes using pseudo‐amino acid composition , 2001, Proteins.
[30] Sean R Eddy,et al. A new generation of homology search tools based on probabilistic inference. , 2009, Genome informatics. International Conference on Genome Informatics.
[31] Milan Randic. Very efficient search for nucleotide alignments , 2013, J. Comput. Chem..
[32] H. González-Díaz,et al. Review of QSAR models for enzyme classes of drug targets: Theoretical background and applications in parasites, hosts, and other organisms. , 2010, Current pharmaceutical design.
[33] Kuo-Chen Chou,et al. Prediction of protein structure classes with pseudo amino acid composition and fuzzy support vector machine network. , 2007, Protein and peptide letters.
[34] Oscar P. Kuipers,et al. BAGEL: a web-based bacteriocin genome mining tool , 2006, Nucleic Acids Res..
[35] A Nandy. Recent investigations into global characteristics of long DNA sequences. , 1994, Indian journal of biochemistry & biophysics.
[36] Liu Yang,et al. 3-D maps and coupling numbers for protein sequences , 2009 .
[37] C. Munteanu,et al. Generalized lattice graphs for 2D-visualization of biological information , 2009, Journal of Theoretical Biology.
[38] Ernesto Estrada,et al. In Silico Studies toward the Discovery of New Anti-HIV Nucleoside Compounds with the Use of TOPS-MODE and 2D/3D Connectivity Indices, 1. Pyrimidyl Derivatives , 2002, J. Chem. Inf. Comput. Sci..
[39] Michael J. E. Sternberg,et al. ConFunc - functional annotation in the twilight zone , 2008, Bioinform..
[40] K. Chou,et al. Artificial Neural Network Model for Predicting Membrane Protein Types , 2001, Journal of biomolecular structure & dynamics.
[41] M. Welker,et al. Cyanobacterial peptides - nature's own combinatorial biosynthesis. , 2006, FEMS microbiology reviews.
[42] Jure Zupan,et al. On representation of proteins by star-like graphs. , 2007, Journal of molecular graphics & modelling.
[43] Maykel Cruz-Monteagudo,et al. 3D-MEDNEs: an alternative "in silico" technique for chemical research in toxicology. 2. quantitative proteome-toxicity relationships (QPTR) based on mass spectrum spiral entropy. , 2008, Chemical research in toxicology.
[44] Alexandru T Balaban,et al. Graphical representation of proteins. , 2011, Chemical reviews.
[45] E Uriarte,et al. Recent advances on the role of topological indices in drug discovery research. , 2001, Current medicinal chemistry.
[46] Léon Personnaz,et al. On Cross Validation for Model Selection , 1999, Neural Computation.
[47] Elke Dittmann,et al. Bioinformatic perspectives on NRPS/PKS megasynthases: advances and challenges. , 2009, Natural product reports.
[48] K. Chou,et al. PseAAC: a flexible web server for generating various kinds of protein pseudo amino acid composition. , 2008, Analytical biochemistry.
[49] Rajesh S. Gokhale,et al. In silico analysis of methyltransferase domains involved in biosynthesis of secondary metabolites , 2008, BMC Bioinformatics.
[50] B. Rost. Twilight zone of protein sequence alignments. , 1999, Protein engineering.
[51] A. Antunes,et al. Non-linear models based on simple topological indices to identify RNase III protein members. , 2011, Journal of theoretical biology.
[52] Kuo-Chen Chou,et al. Artificial Neural Network Model for Predicting Protein Subcellular Location , 2002, Comput. Chem..
[53] Francisco Torrens,et al. Atom, atom-type and total molecular linear indices as a promising approach for bioorganic and medicinal chemistry: theoretical and experimental assessment of a novel method for virtual screening and rational design of new lead anthelmintic. , 2005, Bioorganic & medicinal chemistry.