IonchanPred 2.0: A Tool to Predict Ion Channels and Their Types.
about
Special Protein Molecules Computational Identification.AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest.PrESOgenesis: A two-layer multi-label predictor for identifying fertility-related proteins using support vector machine and pseudo amino acid composition approach.HBPred: a tool to identify growth hormone-binding proteins.iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC.Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree.Identification of Antioxidant Proteins With Deep Learning From Sequence InformationPrediction of Antitubercular Peptides From Sequence Information Using Ensemble Classifier and Hybrid FeaturesIdentifying Phage Virion Proteins by Using Two-Step Feature Selection MethodsiGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree
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IonchanPred 2.0: A Tool to Predict Ion Channels and Their Types.
description
2017 nî lūn-bûn
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name
IonchanPred 2.0: A Tool to Predict Ion Channels and Their Types.
@en
type
label
IonchanPred 2.0: A Tool to Predict Ion Channels and Their Types.
@en
prefLabel
IonchanPred 2.0: A Tool to Predict Ion Channels and Their Types.
@en
P2093
P2860
P356
P1476
IonchanPred 2.0: A Tool to Predict Ion Channels and Their Types.
@en
P2093
Wuritu Yang
Ya-Wei Zhao
Zhen-Dong Su
P2860
P356
10.3390/IJMS18091838
P407
P50
P577
2017-08-24T00:00:00Z