iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC.
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2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function.Molecular classification of prostate adenocarcinoma by the integrated somatic mutation profiles and molecular networkPrediction of presynaptic and postsynaptic neurotoxins by combining various Chou's pseudo components.Pse-Analysis: a python package for DNA/RNA and protein/ peptide sequence analysis based on pseudo components and kernel methods.Predicting Protein-Protein Interaction Sites Using Sequence Descriptors and Site Propensity of Neighboring Amino Acids.Construction and analysis of dysregulated lncRNA-associated ceRNA network identified novel lncRNA biomarkers for early diagnosis of human pancreatic cancer.Genome-Wide Prediction of DNA Methylation Using DNA Composition and Sequence Complexity in HumanpLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC.Estimating the effects of transcription factors binding and histone modifications on gene expression levels in human cells.Potential drug-drug interactions in paediatric outpatient prescriptions in Nigeria and implications for the future.Identification of potential CCR5 inhibitors through pharmacophore-based virtual screening, molecular dynamics simulation and binding free energy analysis.iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition.Prediction of nucleosome positioning by the incorporation of frequencies and distributions of three different nucleotide segment lengths into a general pseudo k-tuple nucleotide composition.iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide compositionPrediction of the aquatic toxicity of aromatic compounds to tetrahymena pyriformis through support vector regression.iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals.iRNA-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.Predicting Presynaptic and Postsynaptic Neurotoxins by Developing Feature Selection Technique.2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications.Accurate prediction of subcellular location of apoptosis proteins combining Chou's PseAAC and PsePSSM based on wavelet denoising.UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences.Protein classification using modified n-grams and skip-grams.pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information.iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC.Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM.Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams.PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine.Detecting Succinylation sites from protein sequences using ensemble support vector machine.Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree.A Hybrid Deep Learning Model for Predicting Protein Hydroxylation Sites
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iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 14 June 2016
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
iHyd-PseCp: Identify hydroxypr ...... d effects into general PseAAC.
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iHyd-PseCp: Identify hydroxypr ...... d effects into general PseAAC.
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type
label
iHyd-PseCp: Identify hydroxypr ...... d effects into general PseAAC.
@en
iHyd-PseCp: Identify hydroxypr ...... d effects into general PseAAC.
@nl
prefLabel
iHyd-PseCp: Identify hydroxypr ...... d effects into general PseAAC.
@en
iHyd-PseCp: Identify hydroxypr ...... d effects into general PseAAC.
@nl
P2093
P2860
P356
P1433
P1476
iHyd-PseCp: Identify hydroxypr ...... d effects into general PseAAC.
@en
P2093
Bi-Qian Sun
Wang-Ren Qiu
Zhao-Chun Xu
P2860
P304
44310-44321
P356
10.18632/ONCOTARGET.10027
P407
P577
2016-06-14T00:00:00Z