Briefing in Application of Machine Learning Methods in Ion Channel Prediction
暂无分享,去创建一个
[1] The UniProt Consortium,et al. Update on activities at the Universal Protein Resource (UniProt) in 2013 , 2012, Nucleic Acids Res..
[2] Enrico Blanzieri,et al. Protein-specific prediction of mRNA binding using RNA sequences, binding motifs and predicted secondary structures , 2014, BMC Bioinformatics.
[3] John C. Wooley,et al. Ultrafast clustering algorithms for metagenomic sequence analysis , 2012, Briefings Bioinform..
[4] M. Ebrahimi,et al. Neural network and SVM classifiers accurately predict lipid binding proteins, irrespective of sequence homology. , 2014, Journal of theoretical biology.
[5] Wei Chen,et al. Identifying the Subfamilies of Voltage-Gated Potassium Channels Using Feature Selection Technique , 2014, International journal of molecular sciences.
[6] Bertil Hille,et al. Ion channels: From idea to reality , 1999, Nature Medicine.
[7] Carmay Lim,et al. Determinants of K+ vs Na+ selectivity in potassium channels. , 2009, Journal of the American Chemical Society.
[8] Wei Chen,et al. Identification of voltage-gated potassium channel subfamilies from sequence information using support vector machine , 2012, Comput. Biol. Medicine.
[9] Brendan J. Frey,et al. Deep learning of the tissue-regulated splicing code , 2014, Bioinform..
[10] Zhengwei Zhu,et al. CD-HIT: accelerated for clustering the next-generation sequencing data , 2012, Bioinform..
[11] Jeffrey J Clare,et al. Targeting ion channels for drug discovery. , 2010, Discovery medicine.
[12] Zhiqiang Ma,et al. PSNO: Predicting Cysteine S-Nitrosylation Sites by Incorporating Various Sequence-Derived Features into the General Form of Chou’s PseAAC , 2014, International journal of molecular sciences.
[13] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[14] K. Chou. Some remarks on protein attribute prediction and pseudo amino acid composition , 2010, Journal of Theoretical Biology.
[15] María Martín,et al. Activities at the Universal Protein Resource (UniProt) , 2013, Nucleic Acids Res..
[16] Guoli Wang,et al. PISCES: a protein sequence culling server , 2003, Bioinform..
[17] Zhu-Hong You,et al. Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis , 2013, BMC Bioinformatics.
[18] Terry Kenakin,et al. New concepts in pharmacological efficacy at 7TM receptors: IUPHAR Review 2 , 2013, British journal of pharmacology.
[19] Kuo-Chen Chou,et al. Predict and analyze S-nitrosylation modification sites with the mRMR and IFS approaches. , 2012, Journal of proteomics.
[20] David S. Goodsell,et al. The RCSB Protein Data Bank: new resources for research and education , 2012, Nucleic Acids Res..
[21] Slobodan Vucetic,et al. MS-kNN: protein function prediction by integrating multiple data sources , 2013, BMC Bioinformatics.
[22] Xuehua Li,et al. Predicting human immunodeficiency virus protease cleavage sites in nonlinear projection space , 2010, Molecular and Cellular Biochemistry.
[23] Thorsten Joachims,et al. Learning to classify text using support vector machines - methods, theory and algorithms , 2002, The Kluwer international series in engineering and computer science.
[24] Wei Chen,et al. iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition , 2014, Bioinform..
[25] Wentao Ma,et al. Life: Self-Directing with Unlimited Variability on Self-Speeding , 2012, Journal of biomolecular structure & dynamics.
[26] Yanzhi Guo,et al. Local sequence information-based support vector machine to classify voltage-gated potassium channels. , 2006, Acta biochimica et biophysica Sinica.
[27] Warren J. Gallin,et al. VKCDB: voltage-gated K+ channel database updated and upgraded , 2010, Nucleic Acids Res..
[28] George C. Runger,et al. Feature selection via regularized trees , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).
[29] Feng Ye,et al. Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM , 2012, Journal of biomolecular structure & dynamics.
[30] Xiaoning Qian,et al. Accurate prediction of protein structural classes using functional domains and predicted secondary structure sequences , 2012, Journal of biomolecular structure & dynamics.
[31] Jiangning Song,et al. Improving the accuracy of predicting disulfide connectivity by feature selection , 2010, J. Comput. Chem..
[32] C. Morton,et al. Ion Channel Gene Expression in the Inner Ear , 2007, Journal of the Association for Research in Otolaryngology.
[33] R. Kass,et al. The channelopathies: novel insights into molecular and genetic mechanisms of human disease. , 2005, The Journal of clinical investigation.
[34] Gajendra P. S. Raghava,et al. VGIchan : Prediction and Classification of Voltage-Gated Ion Channels , 2012 .
[35] Nicolas Le Novère,et al. LGICdb: a manually curated sequence database after the genomes , 2005, Nucleic Acids Res..
[36] A. Liantonio,et al. Therapeutic approaches to ion channel diseases. , 2008, Advances in genetics.
[37] Hui Ding,et al. Predicting ion channels and their types by the dipeptide mode of pseudo amino acid composition. , 2011, Journal of theoretical biology.