Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach
DOI10.1016/j.jtbi.2018.11.011zbMath1406.92218OpenAlexW2901314256WikidataQ62493170 ScholiaQ62493170MaRDI QIDQ1717326
Publication date: 5 February 2019
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2018.11.011
machine learningsupport vector machineprotein-protein interactionspseudo-amino acid compositiontwo-dimensional wavelet denoisingmulti-information fusion
Learning and adaptive systems in artificial intelligence (68T05) Biochemistry, molecular biology (92C40) Protein sequences, DNA sequences (92D20)
Related Items (1)
Uses Software
- LIBSVM
- PseAAC
- iEnhancer-2L
- LibD3C
- Pse-in-One
- iPPI-Esml
- iLoc-Virus
- iLoc-Animal
- SubMito-PSPCP
- iLoc-Hum
- PseKNC
- iRSpot-PseDNC
- iSNO-PseAAC
- iSNO-AAPair
- GitHub
- pLoc-mAnimal
- pLoc-mVirus
- pLoc-mEuk
- iRNA-PseColl
- iATC-mHyb
- iRSpot-EL
- iPromoter-2L
- Unb-DPC
- pLoc-mGneg
- pLoc-mPlant
- iHSP-PseRAAAC
- HIVcleave
- iRNA-3typeA
- pLoc-mHum
- pLoc_bal-mHum
- iDNA6mA-PseKNC
- iPPI-PseAAC
- 2L-piRNA
- iEnhancer-EL
- iRO-3wPseKNC
- iRSpot-Pse6NC
- pLoc_bal-mGneg
- PPI_SVM
- DeepPPI
Cites Work
- Unnamed Item
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- A matrix based algorithm for protein-protein interaction prediction using domain-domain associations
- Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition
- Some remarks on protein attribute prediction and pseudo amino acid composition
- Prediction of protein-protein interactions by label propagation with protein evolutionary and chemical information derived from heterogeneous network
- pLoc\_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC
- iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC
- Highly accurate prediction of protein self-interactions by incorporating the average block and PSSM information into the general PseAAC
- Adaptive compressive learning for prediction of protein-protein interactions from primary sequence
- \textbf{iLoc-Virus}: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
- Protein-protein interactions can be predicted using coiled coil co-evolution patterns
- Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC
- A novel method based on new adaptive LVQ neural network for predicting protein-protein interactions from protein sequences
- Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou's pseudo amino acid composition
- Spatially adaptive wavelet thresholding with context modeling for image denoising
- Adaptive wavelet thresholding for image denoising and compression
- Bio-entity network for analysis of protein-protein interaction networks
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