Theoretical and experimental biology in one —
暂无分享,去创建一个
[1] M. Eigen,et al. ELEMENTARY STEPS IN ENZYME REACTIONS (AS STUDIED BY RELAXATION SPECTROMETRY). , 2006, Advances in enzymology and related subjects of biochemistry.
[2] C. Kuo-chen,et al. Studies on the rate of diffusion-controlled reactions of enzymes. Spatial factor and force field factor. , 1974, Scientia Sinica.
[3] C Kuo-Chen. The kinetics of the combination reaction between enzyme and substrate. , 1976, Scientia Sinica.
[4] K. Chou,et al. THE BIOLOGICAL FUNCTIONS OF LOW-FREQUENCY PHONONS , 1977 .
[5] P. Painter,et al. The low-frequency Raman spectrum of an antibody molecule: bovine IgG. , 1979, Biopolymers.
[6] Chou Kuo-Chen,et al. GRAPH THEORY OF ENZYME KINETICS I.STEADY-STATE REACTION SYSTEMS , 1979 .
[7] Ny Chen,et al. THE BIOLOGICAL FUNCTIONS OF LOW-FREQUENCY PHONONS .2. COOPERATIVE EFFECTS , 1981 .
[8] P. Painter,et al. Low-frequency modes in the raman spectrum of DNA. , 1981, Biopolymers.
[9] P. Painter,et al. Low-frequency modes in the Raman spectra of proteins. , 1982, Biopolymers.
[10] K. Chou,et al. Role of the protein outside active site on the diffusion-controlled reaction of enzymes , 1982 .
[11] H Urabe,et al. Low-lying collective modes of DNA double helix by Raman spectroscopy. , 1982, Biopolymers.
[12] K. Chou,et al. Low-frequency vibrations of helical structures in protein molecules. , 1983, The Biochemical journal.
[13] Kenji Kubota,et al. Experimental evidence of collective vibrations in DNA double helix (Raman spectroscopy) , 1983 .
[14] 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.
[15] Kuo-Chen Chou. Low-frequency vibrations ofDNA molecules , 1984 .
[16] K. Chou,et al. Low-frequency motions in protein molecules. Beta-sheet and beta-barrel. , 1985, Biophysical journal.
[17] David Myers,et al. Microcomputer tools for steady-state enzyme kinetics , 1985, Comput. Appl. Biosci..
[18] K. Chou,et al. Low-frequency collective motion in biomacromolecules and its biological functions. , 1988, Biophysical chemistry.
[19] K. Chou,et al. Collective motion in DNA and its role in drug intercalation , 1988, Biopolymers.
[20] K. Chou,et al. Low-frequency resonance and cooperativity of hemoglobin. , 1989, Trends in biochemical sciences.
[21] K. Chou,et al. Graphic rules in steady and non-steady state enzyme kinetics. , 1989, The Journal of biological chemistry.
[22] G M Maggiora,et al. Quasi-continuum models of twist-like and accordion-like low-frequency motions in DNA. , 1989, Biophysical journal.
[23] K. Neet,et al. Demonstration of a slow conformational change in liver glucokinase by fluorescence spectroscopy. , 1990, The Journal of biological chemistry.
[24] K. Chou. Applications of graph theory to enzyme kinetics and protein folding kinetics. Steady and non-steady-state systems. , 2020, Biophysical chemistry.
[25] C. Florentz,et al. Identity elements for specific aminoacylation of yeast tRNA(Asp) by cognate aspartyl-tRNA synthetase , 1991, Science.
[26] P Martel,et al. Biophysical aspects of neutron scattering from vibrational modes of proteins. , 1992, Progress in biophysics and molecular biology.
[27] P. Kuzmič,et al. Mixtures of tight-binding enzyme inhibitors. Kinetic analysis by a recursive rate equation. , 1992, Analytical biochemistry.
[28] J. Chou,et al. Kinetic studies with the non-nucleoside HIV-1 reverse transcriptase inhibitor U-88204E. , 1993, Biochemistry.
[29] R Giegé,et al. An operational RNA code for amino acids and possible relationship to genetic code. , 1993, Proceedings of the National Academy of Sciences of the United States of America.
[30] L. Resnick,et al. The quinoline U-78036 is a potent inhibitor of HIV-1 reverse transcriptase. , 1993, The Journal of biological chemistry.
[31] J. Chou,et al. Steady-state kinetic studies with the non-nucleoside HIV-1 reverse transcriptase inhibitor U-87201E. , 1993, The Journal of biological chemistry.
[32] G M Maggiora,et al. Solitary wave dynamics as a mechanism for explaining the internal motion during microtubule growth , 1994, Biopolymers.
[33] K C Chou,et al. Kinetics of processive nucleic acid polymerases and nucleases. , 1994, Analytical biochemistry.
[34] R Giegé,et al. Identity switches between tRNAs aminoacylated by class I glutaminyl- and class II aspartyl-tRNA synthetases. , 1994, Biochemistry.
[35] Y Sugawara,et al. Low-frequency Raman spectra of lysozyme crystals and oriented DNA films: dynamics of crystal water. , 1998, Biophysical journal.
[36] Arnaud Ducruix,et al. Crystallization of Nucleic Acids and Proteins: A practical Approach , 1998 .
[37] R Giegé,et al. Universal rules and idiosyncratic features in tRNA identity. , 1998, Nucleic acids research.
[38] R. Giegé,et al. An Introduction to the Crystallogenesis of Biological Macromolecules , 1999 .
[39] K. Chou. Prediction of protein cellular attributes using pseudo‐amino acid composition , 2001, Proteins.
[40] Ad Bax,et al. Solution structure of Ca2+–calmodulin reveals flexible hand-like properties of its domains , 2001, Nature Structural Biology.
[41] Zachariah Sinkala,et al. Soliton/exciton transport in proteins. , 2006, Journal of theoretical biology.
[42] Loris Nanni,et al. Genetic programming for creating Chou’s pseudo amino acid based features for submitochondria localization , 2008, Amino Acids.
[43] Zhanchao Li,et al. Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes. , 2007, Journal of theoretical biology.
[44] Glen A. Gordon,et al. Designed electromagnetic pulsed therapy: Clinical applications , 2007, Journal of cellular physiology.
[45] 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.
[46] Yanzhi Guo,et al. Predicting DNA-binding proteins: approached from Chou’s pseudo amino acid composition and other specific sequence features , 2007, Amino Acids.
[47] Kuo-Chen Chou,et al. Signal-CF: a subsite-coupled and window-fusing approach for predicting signal peptides. , 2007, Biochemical and biophysical research communications.
[48] K. Chou,et al. EzyPred: a top-down approach for predicting enzyme functional classes and subclasses. , 2007, Biochemical and biophysical research communications.
[49] Shao-Wu Zhang,et al. Using the concept of Chou’s pseudo amino acid composition to predict protein subcellular localization: an approach by incorporating evolutionary information and von Neumann entropies , 2008, Amino Acids.
[50] K. Chou,et al. Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms , 2008, Nature Protocols.
[51] Guangya Zhang,et al. Predicting the cofactors of oxidoreductases based on amino acid composition distribution and Chou's amphiphilic pseudo-amino acid composition. , 2008, Journal of theoretical biology.
[52] Ozlem Keskin,et al. Principles of Protein Recognition and Properties of Protein-protein Interfaces , 2008, Protein-protein Interactions and Networks.
[53] Glen A. Gordon. Extrinsic electromagnetic fields, low frequency (phonon) vibrations, and control of cell function: a non-linear resonance system , 2008 .
[54] Guangya Zhang,et al. Predicting lipase types by improved Chou's pseudo-amino acid composition. , 2008, Protein and peptide letters.
[55] Hao Lin,et al. Predicting subcellular localization of mycobacterial proteins by using Chou's pseudo amino acid composition. , 2008, Protein and peptide letters.
[56] Xiaoying Jiang,et al. Using the concept of Chou's pseudo amino acid composition to predict apoptosis proteins subcellular location: an approach by approximate entropy. , 2008, Protein and peptide letters.
[57] Hao Lin. The modified Mahalanobis Discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition. , 2008, Journal of theoretical biology.
[58] Fengmin Li,et al. Predicting protein subcellular location using Chou's pseudo amino acid composition and improved hybrid approach. , 2008, Protein and peptide letters.
[59] Shao-Wu Zhang,et al. Using Chou’s pseudo amino acid composition to predict protein quaternary structure: a sequence-segmented PseAAC approach , 2008, Amino Acids.
[60] Zong Dai,et al. Prediction of protein structural classes by Chou’s pseudo amino acid composition: approached using continuous wavelet transform and principal component analysis , 2009, Amino Acids.
[61] Yongsheng Ding,et al. Using Chou's pseudo amino acid composition to predict subcellular localization of apoptosis proteins: An approach with immune genetic algorithm-based ensemble classifier , 2008, Pattern Recognit. Lett..
[62] K. Chou,et al. ProtIdent: a web server for identifying proteases and their types by fusing functional domain and sequential evolution information. , 2008, Biochemical and biophysical research communications.
[63] Tongliang Zhang,et al. Using Chou’s pseudo amino acid composition based on approximate entropy and an ensemble of AdaBoost classifiers to predict protein subnuclear location , 2008, Amino Acids.
[64] 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 .
[65] Kuo-Chen Chou,et al. Steps to the clinic with ELF EMF , 2009 .
[66] Hao Lin,et al. Prediction of cell wall lytic enzymes using Chou's amphiphilic pseudo amino acid composition. , 2009, Protein and peptide letters.
[67] Yanzhi Guo,et al. Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach. , 2009, Journal of theoretical biology.
[68] J. Nieto,et al. Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition. , 2009, Journal of theoretical biology.
[69] Hao Lin,et al. Prediction of Subcellular Localization of Apoptosis Protein Using Chou’s Pseudo Amino Acid Composition , 2009, Acta biotheoretica.
[70] Jianding Qiu,et al. Prediction of G-protein-coupled receptor classes based on the concept of Chou's pseudo amino acid composition: an approach from discrete wavelet transform. , 2009, Analytical biochemistry.
[71] Xiaoyong Zou,et al. Prediction of protein secondary structure content by using the concept of Chou's pseudo amino acid composition and support vector machine. , 2009, Protein and peptide letters.
[72] K. Chou,et al. REVIEW : Recent advances in developing web-servers for predicting protein attributes , 2009 .
[73] Jiangning Song,et al. Prediction of protein folding rates from primary sequence by fusing multiple sequential features , 2009 .
[74] Q Gu,et al. Prediction of G-protein-coupled receptor classes in low homology using Chou's pseudo amino acid composition with approximate entropy and hydrophobicity patterns. , 2010, Protein and peptide letters.
[75] M. Esmaeili,et al. Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses. , 2010, Journal of theoretical biology.
[76] K. Chou,et al. Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization , 2010, PloS one.
[77] Shao-Ping Shi,et al. Using the concept of Chou's pseudo amino acid composition to predict enzyme family classes: an approach with support vector machine based on discrete wavelet transform. , 2010, Protein and peptide letters.
[78] Menglong Li,et al. SecretP: identifying bacterial secreted proteins by fusing new features into Chou's pseudo-amino acid composition. , 2010, Journal of theoretical biology.
[79] D. Poirier,et al. 17β-Hydroxysteroid Dehydrogenase Type 1 Stimulates Breast Cancer by Dihydrotestosterone Inactivation in addition to Estradiol Production , 2010 .
[80] K. Chou. Graphic rule for drug metabolism systems. , 2010, Current drug metabolism.
[81] Ganapati Panda,et al. A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction , 2010, Comput. Biol. Chem..
[82] Hassan Mohabatkar,et al. Prediction of cyclin proteins using Chou's pseudo amino acid composition. , 2010, Protein and peptide letters.
[83] K. Chou,et al. iLoc-Euk: A Multi-Label Classifier for Predicting the Subcellular Localization of Singleplex and Multiplex Eukaryotic Proteins , 2011, PloS one.
[84] K. Chou,et al. iDNA-Prot: Identification of DNA Binding Proteins Using Random Forest with Grey Model , 2011, PloS one.
[85] Kuo-Chen Chou,et al. NR-2L: A Two-Level Predictor for Identifying Nuclear Receptor Subfamilies Based on Sequence-Derived Features , 2011, PloS one.
[86] H. Mohabatkar,et al. Prediction of metalloproteinase family based on the concept of Chou’s pseudo amino acid composition using a machine learning approach , 2011, Journal of Structural and Functional Genomics.
[87] Kuo-Chen Chou,et al. GPCR-2L: predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions. , 2011, Molecular bioSystems.
[88] K. Chou. Some remarks on protein attribute prediction and pseudo amino acid composition , 2010, Journal of Theoretical Biology.
[89] Jianxiu Guo,et al. Predicting protein folding rates using the concept of Chou's pseudo amino acid composition , 2011, Journal of computational chemistry.
[90] Dongsheng Zou,et al. Supersecondary structure prediction using Chou's pseudo amino acid composition , 2011, J. Comput. Chem..
[91] A. Esmaeili,et al. Prediction of GABAA receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine. , 2011, Journal of theoretical biology.
[92] K. Chou,et al. iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites. , 2012, Molecular bioSystems.