Prediction of protein folding rates from primary sequence by fusing multiple sequential features

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Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
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"Prediction of protein folding rates from primary sequence by fusing multiple sequential features"
written by Hong-Bin Shen, Jiang-Ning Song, Kuo-Chen Chou,
published by Journal of Biomedical Science and Engineering, Vol.2 No.3, 2009

has been cited by the following article(s):

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[56]	A Tri-Gram Based Feature Extraction Technique Using Linear Probabilities of Position Specific Scoring Matrix for Protein Fold Recognition IEEE Transactions on NanoBioscience, 2014 DOI:10.1109/TNB.2013.2296050

[57]	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 Journal of Biomedical Science and Engineering, 2013 DOI:10.4236/jbise.2013.64054

[58]	Swfoldrate: Predicting protein folding rates from amino acid sequence with sliding window method Proteins: Structure, Function, and Bioinformatics, 2013 DOI:10.1002/prot.24171

[59]	Unfolded protein ensembles, folding trajectories, and refolding rate prediction The Journal of Chemical Physics, 2013 DOI:10.1063/1.4817215

[60]	Swfoldrate: Predicting protein folding rates from amino acid sequence with sliding window method Proteins: Structure, Function, and Bioinformatics, 2013 DOI:10.1002/prot.24171

[61]	Unfolded protein ensembles, folding trajectories, and refolding rate prediction The Journal of Chemical Physics, 2013 DOI:10.1063/1.4817215

[62]	SOMPNN: an efficient non-parametric model for predicting transmembrane helices Amino Acids, 2012 DOI:10.1007/s00726-011-0959-2

[63]	Determination of protein folding kinetic types using sequence and predicted secondary structure and solvent accessibility Amino Acids, 2012 DOI:10.1007/s00726-010-0805-y

[64]	Two-intermediate model to characterize the structure of fast-folding proteins Journal of Theoretical Biology, 2011 DOI:10.1016/j.jtbi.2011.05.027

[65]	Predicting protein folding rates using the concept of Chou's pseudo amino acid composition Journal of Computational Chemistry, 2011 DOI:10.1002/jcc.21740

[66]	Predicting Protein Folding Rate From Amino Acid Sequence PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2011 DOI:10.3724/SP.J.1206.2010.00380

[67]	iFC2: an integrated web-server for improved prediction of protein structural class, fold type, and secondary structure content Amino Acids, 2011 DOI:10.1007/s00726-010-0721-1

[68]	The dynamical contact order: Protein folding rate parameters based on quantum conformational transitions Science China Life Sciences, 2011 DOI:10.1007/s11427-011-4158-x

[69]	BIOINFORMATIC APPROACHES FOR PREDICTING SUBSTRATES OF PROTEASES Journal of Bioinformatics and Computational Biology, 2011 DOI:10.1142/S0219720011005288

[70]	PREDICTING PROTEIN FOLDING RATE FROM AMINO ACID SEQUENCE Journal of Bioinformatics and Computational Biology, 2011 DOI:10.1142/S0219720011005306

[71]	Three 3D graphical representations of DNA primary sequences based on the classifications of DNA bases and their applications Journal of Theoretical Biology, 2011 DOI:10.1016/j.jtbi.2010.10.018

[72]	Self-similarity analysis of eubacteria genome based on weighted graph Journal of Theoretical Biology, 2011 DOI:10.1016/j.jtbi.2011.03.033

[73]	Wenxiang: a web-server for drawing wenxiang diagrams Natural Science, 2011 DOI:10.4236/ns.2011.310111

[74]	Multitask Learning for Protein Subcellular Location Prediction IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2011 DOI:10.1109/TCBB.2010.22

[75]	Quat-2L: a web-server for predicting protein quaternary structural attributes Molecular Diversity, 2011 DOI:10.1007/s11030-010-9227-8

[76]	Two-intermediate model to characterize the structure of fast-folding proteins Journal of Theoretical Biology, 2011 DOI:10.1016/j.jtbi.2011.05.027

[77]	Self-similarity analysis of eubacteria genome based on weighted graph Journal of Theoretical Biology, 2011 DOI:10.1016/j.jtbi.2011.03.033

[78]	Two-intermediate model to characterize the structure of fast-folding proteins Journal of Theoretical Biology, 2011 DOI:10.1016/j.jtbi.2011.05.027

[79]	Predicting protein folding rates using the concept of Chou's pseudo amino acid composition Journal of Computational Chemistry, 2011 DOI:10.1002/jcc.21740

[80]	Self-similarity analysis of eubacteria genome based on weighted graph Journal of Theoretical Biology, 2011 DOI:10.1016/j.jtbi.2011.03.033

[81]	The implications of gene heterozygosity for protein folding and protein turnover Journal of Theoretical Biology, 2010 DOI:10.1016/j.jtbi.2010.05.023

[82]	Global and local prediction of protein folding rates based on sequence autocorrelation information Journal of Theoretical Biology, 2010 DOI:10.1016/j.jtbi.2010.03.042

[83]	The Burrows–Wheeler similarity distribution between biological sequences based on Burrows–Wheeler transform Journal of Theoretical Biology, 2010 DOI:10.1016/j.jtbi.2009.10.033

[84]	A simple method to analyze the similarity of biological sequences based on the fuzzy theory Journal of Theoretical Biology, 2010 DOI:10.1016/j.jtbi.2010.05.008

[85]	2D-MH: A web-server for generating graphic representation of protein sequences based on the physicochemical properties of their constituent amino acids Journal of Theoretical Biology, 2010 DOI:10.1016/j.jtbi.2010.08.007

[86]	Cellular responding kinetics based on a model of gene regulatory networks under radiotherapy Health, 2010 DOI:10.4236/health.2010.22021

[87]	Prediction of mitochondrial proteins of malaria parasite using split amino acid composition and PSSM profile Amino Acids, 2010 DOI:10.1007/s00726-009-0381-1

[88]	Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses Journal of Theoretical Biology, 2010 DOI:10.1016/j.jtbi.2009.11.016

[89]	Prediction of the parallel/antiparallel orientation of beta-strands using amino acid pairing preferences and support vector machines Journal of Theoretical Biology, 2010 DOI:10.1016/j.jtbi.2009.12.019

[90]	Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization PLoS ONE, 2010 DOI:10.1371/journal.pone.0011335

[91]	Analysis and Prediction of the Metabolic Stability of Proteins Based on Their Sequential Features, Subcellular Locations and Interaction Networks PLoS ONE, 2010 DOI:10.1371/journal.pone.0010972

[92]	Protein classification using texture descriptors extracted from the protein backbone image Journal of Theoretical Biology, 2010 DOI:10.1016/j.jtbi.2010.03.020

[93]	The Burrows–Wheeler similarity distribution between biological sequences based on Burrows–Wheeler transform Journal of Theoretical Biology, 2010 DOI:10.1016/j.jtbi.2009.10.033

[94]	Accurate prediction of protein folding rates from sequence and sequence-derived residue flexibility and solvent accessibility Proteins: Structure, Function, and Bioinformatics, 2010 DOI:10.1002/prot.22727

[95]	Composition-based effective chain length for prediction of protein folding rates Physical Review E, 2010 DOI:10.1103/PhysRevE.82.051930

[96]	PROTEIN SUBCELLULAR MULTI-LOCALIZATION PREDICTION USING A MIN-MAX MODULAR SUPPORT VECTOR MACHINE International Journal of Neural Systems, 2010 DOI:10.1142/S0129065710002206

[97]	The implications of gene heterozygosity for protein folding and protein turnover Journal of Theoretical Biology, 2010 DOI:10.1016/j.jtbi.2010.05.023

[98]	Virus-mPLoc: A Fusion Classifier for Viral Protein Subcellular Location Prediction by Incorporating Multiple Sites Journal of Biomolecular Structure and Dynamics, 2010 DOI:10.1080/07391102.2010.10507351

[99]	Linking mutated primary structure of adrenoleukodystrophy protein with X-linked adrenoleukodystrophy Computer Methods in Biomechanics and Biomedical Engineering, 2010 DOI:10.1080/10255840903279974

[100]	Global and local prediction of protein folding rates based on sequence autocorrelation information Journal of Theoretical Biology, 2010 DOI:10.1016/j.jtbi.2010.03.042

[101]	A network-QSAR model for prediction of genetic-component biomarkers in human colorectal cancer Journal of Theoretical Biology, 2009 DOI:10.1016/j.jtbi.2009.07.031

[102]	REVIEW : Recent advances in developing web-servers for predicting protein attributes Natural Science, 2009 DOI:10.4236/ns.2009.12011

[103]	A top-down approach to enhance the power of predicting human protein subcellular localization: Hum-mPLoc 2.0 Analytical Biochemistry, 2009 DOI:10.1016/j.ab.2009.07.046

[104]	Estimation of relative binding free energy based on a free energy variational principle for quantitative structure activity relationship analyses Chemical Physics, 2009 DOI:10.1016/j.chemphys.2009.09.023

[105]	Generalized lattice graphs for 2D-visualization of biological information Journal of Theoretical Biology, 2009 DOI:10.1016/j.jtbi.2009.07.029

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