Communities in the iron superoxide dismutase amino acid network.
暂无分享,去创建一个
[1] Shan Chang,et al. Construction and application of the weighted amino acid network based on energy. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[2] Zu-Guo Yu,et al. Prediction of protein structural classes by recurrence quantification analysis based on chaos game representation. , 2009 .
[3] M. Newman,et al. Finding community structure in networks using the eigenvectors of matrices. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[4] Stefan Balev,et al. Node degree distribution in amino acid interaction networks , 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop.
[5] Di Wu,et al. The Effect of Edge Definition of Complex Networks on Protein Structure Identification , 2013, Comput. Math. Methods Medicine.
[6] S. Knapp,et al. Refined crystal structure of a superoxide dismutase from the hyperthermophilic archaeon Sulfolobus acidocaldarius at 2.2 A resolution. , 1999, Journal of molecular biology.
[7] J. Chou,et al. Kinetic studies with the non-nucleoside human immunodeficiency virus type-1 reverse transcriptase inhibitor U-90152E. , 1994, Biochemical pharmacology.
[8] W. Kabsch,et al. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features , 1983, Biopolymers.
[9] G M Maggiora,et al. Disposition of amphiphilic helices in heteropolar environments , 1997, Proteins.
[10] A. Barabasi,et al. Network biology: understanding the cell's functional organization , 2004, Nature Reviews Genetics.
[11] Claudio Castellano,et al. Defining and identifying communities in networks. , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[12] Jacques Lapointe,et al. Theoretical and experimental biology in one—A symposium in honour of Professor Kuo-Chen Chou’s 50th anniversary and Professor Richard Giegé’s 40th anniversary of their scientific careers , 2013 .
[13] Iosif I Vaisman,et al. Discrimination of thermophilic and mesophilic proteins , 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop.
[14] M. R. Ruocco,et al. Adaptation of model proteins from cold to hot environments involves continuous and small adjustments of average parameters related to amino acid composition. , 2008, Journal of theoretical biology.
[15] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[16] Saraswathi Vishveshwara,et al. Random network behaviour of protein structures. , 2009, Molecular bioSystems.
[17] K. Chou,et al. iHyd-PseAAC: Predicting Hydroxyproline and Hydroxylysine in Proteins by Incorporating Dipeptide Position-Specific Propensity into Pseudo Amino Acid Composition , 2014, International journal of molecular sciences.
[18] Csaba Böde,et al. Network analysis of protein dynamics , 2007, FEBS letters.
[19] S. Al-Karadaghi,et al. Iron superoxide dismutase from the archaeon Sulfolobus solfataricus: analysis of structure and thermostability. , 1999, Journal of molecular biology.
[20] N. Kurochkina,et al. Helix-helix interfaces and ligand binding. , 2011, Journal of theoretical biology.
[21] M E J Newman,et al. Fast algorithm for detecting community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[22] K. Chou,et al. iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels , 2014, BioMed research international.
[23] A. Arenas,et al. Community detection in complex networks using extremal optimization. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[24] Shihua Zhang,et al. Identification of overlapping community structure in complex networks using fuzzy c-means clustering , 2007 .
[25] A. Dello Russo,et al. Iron superoxide dismutase from the archaeon Sulfolobus solfataricus: average hydrophobicity and amino acid weight are involved in the adaptation of proteins to extreme environments. , 1997, Biochimica et biophysica acta.
[26] S H Kim,et al. The crystal structure of an Fe-superoxide dismutase from the hyperthermophile Aquifex pyrophilus at 1.9 A resolution: structural basis for thermostability. , 1997, Journal of molecular biology.
[27] G. Zhou,et al. An extension of Chou's graphic rules for deriving enzyme kinetic equations to systems involving parallel reaction pathways. , 1984, The Biochemical journal.
[28] S. Kundu,et al. Hydrophobic, hydrophilic, and charged amino acid networks within protein. , 2006, Biophysical journal.
[29] Guo-Ping Zhou. The disposition of the LZCC protein residues in wenxiang diagram provides new insights into the protein–protein interaction mechanism , 2011, Journal of Theoretical Biology.
[30] S. Vishveshwara,et al. A network representation of protein structures: implications for protein stability. , 2005, Biophysical journal.
[31] Ri-Bo Huang,et al. The pH-triggered conversion of the PrP(c) to PrP(sc.). , 2013, Current topics in medicinal chemistry.
[32] K. Chou,et al. iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components , 2014, International journal of molecular sciences.
[33] K. Hwang,et al. Mutational effects on thermostable superoxide dismutase from Aquifex pyrophilus: understanding the molecular basis of protein thermostability. , 2001, Biochemical and biophysical research communications.
[34] Maria Teresa Neves-Petersen,et al. Scale-Free Behaviour of Amino Acid Pair Interactions in Folded Proteins , 2012, PloS one.
[35] A. Vergara,et al. Structure and flexibility in cold-adapted iron superoxide dismutases: the case of the enzyme isolated from Pseudoalteromonas haloplanktis. , 2010, Journal of structural biology.
[36] Xiaolong Wang,et al. Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection , 2013, Bioinform..
[37] J. Andraos. Kinetic plasticity and the determination of product ratios for kinetic schemes leading to multiple products without rate laws — New methods based on directed graphs , 2008 .
[38] K. Chou,et al. iSS-PseDNC: Identifying Splicing Sites Using Pseudo Dinucleotide Composition , 2014, BioMed research international.
[39] K. Chou,et al. PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition. , 2014, Analytical biochemistry.
[40] Yanrui Ding,et al. Application of principal component analysis to determine the key structural features contributing to iron superoxide dismutase thermostability. , 2012, Biopolymers.
[41] L. Resnick,et al. The quinoline U-78036 is a potent inhibitor of HIV-1 reverse transcriptase. , 1993, The Journal of biological chemistry.
[42] Victoria A. Higman,et al. Uncovering network systems within protein structures. , 2003, Journal of molecular biology.
[43] Saraswathi Vishveshwara,et al. Interaction energy based protein structure networks. , 2010, Biophysical journal.
[44] Ernesto Estrada. Universality in protein residue networks. , 2010, Biophysical journal.
[45] Z. Dong,et al. Characterization of a hyperthermostable Fe-superoxide dismutase from hot spring , 2007, Applied Microbiology and Biotechnology.
[46] K. Chou. Graphic rule for drug metabolism systems. , 2010, Current drug metabolism.
[47] Guo-Ping Zhou,et al. The structural determinations of the leucine zipper coiled-coil domains of the cGMP-dependent protein kinase Iα and its interaction with the myosin binding subunit of the myosin light chains phosphase. , 2011, Protein and peptide letters.
[48] Lifeng Yang,et al. A Modified Amino Acid Network Model Contains Similar and Dissimilar Weight , 2013, Comput. Math. Methods Medicine.
[49] S. Forsén,et al. Graphical rules for enzyme-catalysed rate laws. , 1980, The Biochemical journal.
[50] Wei Chen,et al. iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition , 2014, Bioinform..
[51] O. Gaci. Community structure description in amino acid interaction networks , 2011, Interdisciplinary Sciences: Computational Life Sciences.
[52] M E J Newman,et al. Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.