iLM-2L: a two-level predictor for identifying protein lysine methylation sites and their methylation degrees by incorporating K-gap amino acid pairs into Chou's general PseAAC

DOI10.1016/J.JTBI.2015.07.030zbMath1343.92157OpenAlexW1099221832WikidataQ40646283 ScholiaQ40646283MaRDI QIDQ739749

Hong Gu, Zhe Ju, Jun-Zhe Cao

Publication date: 19 August 2016

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2015.07.030

zbMATH Keywords

support vector machinemulti-label classificationpost-translational modificationK-spaced amino acid pair

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)

Related Items (1)

Prediction of S-sulfenylation sites using mRMR feature selection and fuzzy support vector machine algorithm

Uses Software

• Unnamed Item
• LIBSVM
• PredLactamase
• repDNA
• PseKNC-General
• iNuc-PseKNC
• repRNA
• iLM-2L
• WebLogo
• MultiP-SChlo
• propy
• PseAAC-Builder
• Pse-in-One
• iPro54-PseKNC
• iPPI-Esml
• iAMP-2L
• iDNA-Methyl
• PseAAC-General
• PseKNC
• iRSpot-PseDNC
• iCTX-Type
• iMethyl-PseAAC
• iSNO-PseAAC
• iSNO-AAPair
• iTIS-PseTNC
• iNitro-Tyr
• GitHub
• iHyd-PseAAC
• PSNO

Cites Work

• Some remarks on protein attribute prediction and pseudo amino acid composition
• Prediction of \(\beta\)-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine
• Discrimination of acidic and alkaline enzyme using Chou's pseudo amino acid composition in conjunction with probabilistic neural network model
• Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC
• Chou's pseudo amino acid composition improves sequence-based antifreeze protein prediction

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