Dforml(KNN)-PseAAC: detecting formylation sites from protein sequences using K-nearest neighbor algorithm via Chou's 5-step rule and pseudo components
From MaRDI portal
Publication:1739305
DOI10.1016/j.jtbi.2019.03.011zbMath1411.92107OpenAlexW2921079059WikidataQ92421629 ScholiaQ92421629MaRDI QIDQ1739305
Zhiqiang Ma, Xiaowei Zhao, Qiao Ning
Publication date: 26 April 2019
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2019.03.011
Related Items
Uses Software
- pSuc-Lys
- UniProt
- propy
- Pse-in-One
- iSuc-PseOpt
- PseKNC
- iRSpot-PseDNC
- iMethyl-PseAAC
- iSNO-PseAAC
- iSNO-AAPair
- iNitro-Tyr
- iNuc-PhysChem
- iEzy-drug
- iPTM-mLys
- pSumo-CD
- iCar-PseCp
- iRNA-AI
- pLoc-mAnimal
- pLoc-mVirus
- iRNA-PseColl
- iATC-mHyb
- iRNA-2methyl
- pLoc-mPlant
- iROS-gPseKNC
- AAindex
- pLoc-mHum
- iRO-3wPseKNC
- iUbiq-Lys
- pLoc_bal-mGpos
- iHyd-PseAAC
- PSNO
- EnsemblePail
- dbPTM
- iCDI-PseFpt
- ESA-UbiSite
- BioSeq-Analysis
- hCKSAAP_UbSite
Cites Work
- Unnamed Item
- pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
- Some remarks on protein attribute prediction and pseudo amino acid composition
- pLoc\_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC
- Lysine acetylation sites prediction using an ensemble of support vector machine classifiers
- SPrenylC-PseAAC: a sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins
- The disposition of the LZCC protein residues in wenxiang diagram provides new insights into the protein-protein interaction mechanism
- Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC
- iCDI-PseFpt: identify the channel-drug interaction in cellular networking with PseAAC and molecular fingerprints
