iCTX-type: a sequence-based predictor for identifying the types of conotoxins in targeting ion channels
about
iNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid compositionSurvey of Natural Language Processing Techniques in Bioinformatics.Identification of Multi-Functional Enzyme with Multi-Label ClassifierIdentification of Damaging nsSNVs in HumanERCC2 Gene.JPPRED: Prediction of Types of J-Proteins from Imbalanced Data Using an Ensemble Learning Method.Predicting the Types of Ion Channel-Targeted Conotoxins Based on AVC-SVM Model.2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function.iDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid composition3D QSAR studies, pharmacophore modeling and virtual screening on a series of steroidal aromatase inhibitors.A high performance prediction of HPV genotypes by Chaos game representation and singular value decomposition.Improved Species-Specific Lysine Acetylation Site Prediction Based on a Large Variety of Features Set.Sequence Based Prediction of Antioxidant Proteins Using a Classifier Selection Strategy.Predicting cancerlectins by the optimal g-gap dipeptides.Protein Remote Homology Detection Based on an Ensemble Learning Approach.iACP: a sequence-based tool for identifying anticancer peptides.Identifying the Types of Ion Channel-Targeted Conotoxins by Incorporating New Properties of Residues into Pseudo Amino Acid Composition.iROS-gPseKNC: Predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition.iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC.iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC.iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier.Gender difference in the pathophysiology and treatment of glaucoma.Recent Advances in Conotoxin Classification by Using Machine Learning Methods.iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition.Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition.iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou's PseAAC to formulate DNA samples.iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide compositionSpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots.Analysis of Conformational B-Cell Epitopes in the Antibody-Antigen Complex Using the Depth Function and the Convex HulliRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC.iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.iRNA-PseU: Identifying RNA pseudouridine sites.2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications.A machine-learning approach for predicting palmitoylation sites from integrated sequence-based features.Computational Studies of Snake Venom Toxins.Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction.Classifying Multifunctional Enzymes by Incorporating Three Different Models into Chou's General Pseudo Amino Acid Composition.Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams.SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides.iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets.Assigning biological function using hidden signatures in cystine-stabilized peptide sequences.
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P2860
iCTX-type: a sequence-based predictor for identifying the types of conotoxins in targeting ion channels
description
2014 nî lūn-bûn
@nan
2014 թուականին հրատարակուած գիտական յօդուած
@hyw
2014 թվականին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
iCTX-type: a sequence-based pr ...... xins in targeting ion channels
@ast
iCTX-type: a sequence-based pr ...... xins in targeting ion channels
@en
iCTX-type: a sequence-based pr ...... xins in targeting ion channels
@nl
type
label
iCTX-type: a sequence-based pr ...... xins in targeting ion channels
@ast
iCTX-type: a sequence-based pr ...... xins in targeting ion channels
@en
iCTX-type: a sequence-based pr ...... xins in targeting ion channels
@nl
prefLabel
iCTX-type: a sequence-based pr ...... xins in targeting ion channels
@ast
iCTX-type: a sequence-based pr ...... xins in targeting ion channels
@en
iCTX-type: a sequence-based pr ...... xins in targeting ion channels
@nl
P2093
P2860
P50
P3181
P356
P1476
iCTX-type: a sequence-based pr ...... xins in targeting ion channels
@en
P2093
P2860
P304
P3181
P356
10.1155/2014/286419
P407
P577
2014-06-01T00:00:00Z