Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition
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Publication:1714359
DOI10.1016/J.JTBI.2018.07.040zbMath1406.92198OpenAlexW2887397482WikidataQ90740710 ScholiaQ90740710MaRDI QIDQ1714359
Publication date: 31 January 2019
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2018.07.040
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bootstrap, jackknife and other resampling methods (62F40) Biochemistry, molecular biology (92C40)
Related Items (2)
pSSbond-PseAAC: prediction of disulfide bonding sites by integration of PseAAC and statistical moments ⋮ SPrenylC-PseAAC: a sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins
Uses Software
- LIBSVM
- pSuc-Lys
- PISCES
- iEnhancer-2L
- Pse-in-One
- iDNA-Prot
- iPro54-PseKNC
- iRSpot-TNCPseAAC
- iPPI-Esml
- iDrug-Target
- iAMP-2L
- Prnam-PC
- iMiRNA-PseDPC
- iDHS-EL
- iLoc-Animal
- iSuc-PseOpt
- iLoc-Hum
- iLoc-Euk
- PseKNC
- iRSpot-PseDNC
- iSS-PseDNC
- iRNA-Methyl
- iCTX-Type
- AFP-Pred
- iMethyl-PseAAC
- iSNO-PseAAC
- iSNO-AAPair
- iTIS-PseTNC
- iEzy-drug
- iPTM-mLys
- pSumo-CD
- iACP
- iCar-PseCp
- iHyd-PseCp
- iPhos-PseEvo
- iPhos-PseEn
- iOri-Human
- iRNA-AI
- pLoc-mAnimal
- pLoc-mVirus
- pLoc-mEuk
- iRNA-PseColl
- iATC-mHyb
- iRNAm5C-PseDNC
- DPP-PseAAC
- iRSpot-EL
- iPromoter-2L
- PREvaIL
- pLoc-mGneg
- pLoc-mPlant
- iHSP-PseRAAAC
- iKcr-PseEns
- iROS-gPseKNC
- iProt-Sub
- iRNA-PseU
- iRNA-3typeA
- pLoc-mHum
- iDNA6mA-PseKNC
- 2L-piRNA
- iEnhancer-EL
- iRO-3wPseKNC
- iUbiq-Lys
- iRSpot-Pse6NC
- iCDI-PseFpt
Cites Work
- pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
- Sequence-based predictor of ATP-binding residues using random forest and mrmr-IFS feature selection
- Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition
- Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC
- IMem-2LSAAC: a two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into Chou's pseudo amino acid composition
- Some remarks on protein attribute prediction and pseudo amino acid composition
- Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC
- iCDI-PseFpt: identify the channel-drug interaction in cellular networking with PseAAC and molecular fingerprints
- Use of Ranks in One-Criterion Variance Analysis
- Random forests
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