Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition
From MaRDI portal
Publication:1642606
DOI10.1016/j.jtbi.2018.04.026zbMath1397.92228OpenAlexW2802989292WikidataQ52573597 ScholiaQ52573597MaRDI QIDQ1642606
Publication date: 15 June 2018
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2018.04.026
machine learningsupport vector machinepseudo-amino acid compositionpseudo-position specific scoring matrixsubmitochondrial locationstwo-dimensional wavelet denoising
Learning and adaptive systems in artificial intelligence (68T05) Biochemistry, molecular biology (92C40)
Related Items
iMethyl-STTNC: identification of N\(^6\)-methyladenosine sites by extending the idea of SAAC into Chou's PseAAC to formulate RNA sequences ⋮ Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition ⋮ Prediction and functional analysis of prokaryote lysine acetylation site by incorporating six types of features into Chou's general PseAAC ⋮ pSSbond-PseAAC: prediction of disulfide bonding sites by integration of PseAAC and statistical moments ⋮ Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach ⋮ 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
- PseAAC
- Nuc-ploc
- Memtype-2L
- iEnhancer-2L
- ESLpred
- Pse-in-One
- iPPI-Esml
- iSuc-PseOpt
- SubMito-PSPCP
- iRSpot-PseDNC
- iRNA-Methyl
- iSNO-PseAAC
- ngLOC
- GitHub
- iPTM-mLys
- iRNA-AI
- pLoc-mAnimal
- pLoc-mVirus
- pLoc-mEuk
- iRNA-PseColl
- iATC-mHyb
- iRNA-2methyl
- iPreny-PseAAC
- iRSpot-EL
- iPromoter-2L
- pLoc-mGneg
- pLoc-mPlant
- iKcr-PseEns
- iRNA-PseU
- pLoc-mHum
- iDNA6mA-PseKNC
- 2L-piRNA
- MultiLoc
Cites Work
- Unnamed Item
- Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach
- Some remarks on protein attribute prediction and pseudo amino acid composition
- Highly accurate prediction of protein self-interactions by incorporating the average block and PSSM information into the general PseAAC
- Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC
- Fuzzy KNN for predicting membrane protein types from pseudo-amino acid composition
- Prediction of protein submitochondria locations based on data fusion of various features of sequences
- Spatially adaptive wavelet thresholding with context modeling for image denoising
- Adaptive wavelet thresholding for image denoising and compression
