Discrimination of acidic and alkaline enzyme using Chou's pseudo amino acid composition in conjunction with probabilistic neural network model.
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[1] Wei Chen,et al. iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition , 2014, Bioinform..
[2] K. Chou,et al. Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization. , 2006, Biochemical and biophysical research communications.
[3] M. A. Jordan,et al. Acidophilic bacteria : Their potential mining and environmental applications , 1996 .
[4] A. A. Mullin,et al. Principles of neurodynamics , 1962 .
[5] K. Chou. Prediction of protein cellular attributes using pseudo‐amino acid composition , 2001, Proteins.
[6] Manisha Sharma,et al. Alkaliphilic bacteria: applications in industrial biotechnology , 2011, Journal of Industrial Microbiology & Biotechnology.
[7] Nikhil U. Nair,et al. Engineering of Enzymes for Selective Catalysis , 2010 .
[8] Asifullah Khan,et al. Prediction of membrane protein types by using dipeptide and pseudo amino acid composition-based composite features , 2012, IET Commun..
[9] K. Chou,et al. EzyPred: a top-down approach for predicting enzyme functional classes and subclasses. , 2007, Biochemical and biophysical research communications.
[10] Yongchun Zuo,et al. Predicting acidic and alkaline enzymes by incorporating the average chemical shift and gene ontology informations into the general form of Chou's PseAAC , 2013 .
[11] Bin Li,et al. CORN: Correlation-driven nonparametric learning approach for portfolio selection , 2011, TIST.
[12] Kuo-Chen Chou,et al. Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes , 2005, Bioinform..
[13] Frank Rosenblatt,et al. PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS , 1963 .
[14] Xiaolong Wang,et al. Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection , 2013, Bioinform..
[15] Dong-Sheng Cao,et al. propy: a tool to generate various modes of Chou's PseAAC , 2013, Bioinform..
[16] Hui Ding,et al. AcalPred: A Sequence-Based Tool for Discriminating between Acidic and Alkaline Enzymes , 2013, PloS one.
[17] Pufeng Du,et al. PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein Datasets , 2014, International journal of molecular sciences.
[18] Maqsood Hayat,et al. Discriminating protein structure classes by incorporating Pseudo Average Chemical Shift to Chou's general PseAAC and Support Vector Machine , 2014, Comput. Methods Programs Biomed..
[19] K. Chou,et al. PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition. , 2014, Analytical biochemistry.
[20] N. Raja,et al. ANN Approach for Weather Prediction using Back Propagation , 2012 .
[21] Wei Chen,et al. iNuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties , 2012, PloS one.
[22] A. Papageorgiou,et al. Enzyme adaptation to alkaline pH: Atomic resolution (1.08 Å) structure of phosphoserine aminotransferase from Bacillus alcalophilus , 2005, Protein science : a publication of the Protein Society.
[23] K. Chou,et al. iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition , 2013, PloS one.
[24] K. Chou. Prediction of protein cellular attributes using pseudo‐amino acid composition , 2001 .
[25] K. Chou,et al. iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels , 2014, BioMed research international.
[26] Kuo-Chen Chou,et al. iNR-Drug: Predicting the Interaction of Drugs with Nuclear Receptors in Cellular Networking , 2014, International journal of molecular sciences.
[27] Guangya Zhang,et al. Discriminating acidic and alkaline enzymes using a random forest model with secondary structure amino acid composition , 2009 .
[28] K. Chou,et al. Identification of Colorectal Cancer Related Genes with mRMR and Shortest Path in Protein-Protein Interaction Network , 2012, PloS one.
[29] Elisabeth L. Humphris,et al. Structural and mechanistic exploration of acid resistance: kinetic stability facilitates evolution of extremophilic behavior. , 2007, Journal of molecular biology.
[30] K. Horikoshi,et al. Analysis of the genome of an alkaliphilic Bacillus strain from an industrial point of view , 2000, Extremophiles.
[31] B. Volkman,et al. Protonation behavior of histidine 24 and histidine 119 in forming the pH 4 folding intermediate of apomyoglobin. , 1998, Biochemistry.
[32] Wei Chen,et al. iTIS-PseTNC: a sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition. , 2014, Analytical biochemistry.
[33] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[34] K. Chou. Some remarks on protein attribute prediction and pseudo amino acid composition , 2010, Journal of Theoretical Biology.
[35] S. Khan,et al. Prediction of protein structure classes using hybrid space of multi-profile Bayes and bi-gram probability feature spaces. , 2014, Journal of theoretical biology.
[36] Kuo-Chen Chou,et al. Screening for new agonists against Alzheimer's disease. , 2007, Medicinal chemistry (Shariqah (United Arab Emirates)).
[37] 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 .
[38] Mohammed Yeasin,et al. Prediction of membrane proteins using split amino acid and ensemble classification , 2011, Amino Acids.
[39] Kuo-Chen Chou,et al. Molecular therapeutic target for type-2 diabetes. , 2004, Journal of proteome research.
[40] Maqsood Hayat,et al. Discriminating outer membrane proteins with Fuzzy K-nearest Neighbor algorithms based on the general form of Chou's PseAAC. , 2012, Protein and peptide letters.
[41] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[42] 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.
[43] K. Chou,et al. iSS-PseDNC: Identifying Splicing Sites Using Pseudo Dinucleotide Composition , 2014, BioMed research international.
[44] Sheng-Xiang Lin,et al. Theoretical and experimental biology in one — , 2013 .
[45] Kuo-Chen Chou,et al. Predicting eukaryotic protein subcellular location by fusing optimized evidence-theoretic K-Nearest Neighbor classifiers. , 2006, Journal of proteome research.
[46] Kuo-Chen Chou,et al. Molecular modeling of two CYP2C19 SNPs and its implications for personalized drug design. , 2008, Protein and peptide letters.
[47] K. Chou. Structural bioinformatics and its impact to biomedical science. , 2004, Current medicinal chemistry.
[48] Xin Wang,et al. PseAAC-Builder: a cross-platform stand-alone program for generating various special Chou's pseudo-amino acid compositions. , 2012, Analytical biochemistry.
[49] Zahoor Jan,et al. Seasonal to Inter-annual Climate Prediction Using Data Mining KNN Technique , 2008, IMTIC.
[50] T. Yamane,et al. High-resolution crystal structure of M-protease: phylogeny aided analysis of the high-alkaline adaptation mechanism. , 1997, Protein engineering.
[51] K. Chou,et al. iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components , 2014, International journal of molecular sciences.
[52] Vipin Kumar,et al. Introduction to Data Mining , 2022, Data Mining and Machine Learning Applications.
[53] A. Kim. Hepatitis C Virus , 2016, Annals of Internal Medicine.
[54] Kuo-Chen Chou,et al. Hepatitis C Virus Network Based Classification of Hepatocellular Cirrhosis and Carcinoma , 2012, PloS one.
[55] K. Chou,et al. Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms , 2008, Nature Protocols.