iGPCR-drug: a web server for predicting interaction between GPCRs and drugs in cellular networking
about
BioTriangle: a web-accessible platform for generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactionsiNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid compositioniCTX-type: a sequence-based predictor for identifying the types of conotoxins in targeting ion channelsOncoBinder facilitates interpretation of proteomic interaction data by capturing coactivation pairs in cancer.A computational algorithm for functional clustering of proteome dynamics during developmentiDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid compositioniPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition.TargetNet: a web service for predicting potential drug-target interaction profiling via multi-target SAR models.Pse-Analysis: a python package for DNA/RNA and protein/ peptide sequence analysis based on pseudo components and kernel methods.Drug-target interaction prediction via class imbalance-aware ensemble learningiROS-gPseKNC: Predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition.iRSpot-TNCPseAAC: identify recombination spots with trinucleotide composition and pseudo amino acid componentsiNR-Drug: predicting the interaction of drugs with nuclear receptors in cellular networking.Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences.iPhos-PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory.iATC-mISF: a multi-label classifier for predicting the classes of anatomical therapeutic chemicals.Synergy evaluation by a pathway-pathway interaction network: a new way to predict drug combination.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.DrugECs: An Ensemble System with Feature Subspaces for Accurate Drug-Target Interaction Prediction.Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach.iAFP-Ense: An Ensemble Classifier for Identifying Antifreeze Protein by Incorporating Grey Model and PSSM into PseAAC.iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets.Heterodimer Binding Scaffolds Recognition via the Analysis of Kinetically Hot Residues.GPCRserver: an accurate and novel G protein-coupled receptor predictor.Detecting Succinylation sites from protein sequences using ensemble support vector machine.
P2860
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P2860
iGPCR-drug: a web server for predicting interaction between GPCRs and drugs in cellular networking
description
2013 nî lūn-bûn
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2013年の論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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name
iGPCR-drug: a web server for p ...... d drugs in cellular networking
@ast
iGPCR-drug: a web server for p ...... d drugs in cellular networking
@en
iGPCR-drug: a web server for p ...... d drugs in cellular networking
@nl
type
label
iGPCR-drug: a web server for p ...... d drugs in cellular networking
@ast
iGPCR-drug: a web server for p ...... d drugs in cellular networking
@en
iGPCR-drug: a web server for p ...... d drugs in cellular networking
@nl
prefLabel
iGPCR-drug: a web server for p ...... d drugs in cellular networking
@ast
iGPCR-drug: a web server for p ...... d drugs in cellular networking
@en
iGPCR-drug: a web server for p ...... d drugs in cellular networking
@nl
P2860
P3181
P1433
P1476
iGPCR-drug: a web server for p ...... d drugs in cellular networking
@en
P2093
Jian-Liang Min
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0072234
P407
P577
2013-01-01T00:00:00Z