Analysis and prediction of animal toxins by various Chou's pseudo components and reduced amino acid compositions
From MaRDI portal
Publication:1717294
DOI10.1016/j.jtbi.2018.11.010zbMath1406.92205OpenAlexW2900779023WikidataQ93212974 ScholiaQ93212974MaRDI QIDQ1717294
Qi Zhang, Dongqing Su, Lei Yang, Yongchun Zuo, Qianzi Lu, Shiyuan Wang, Yi Pan
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.2018.11.010
Learning and adaptive systems in artificial intelligence (68T05) Biochemistry, molecular biology (92C40)
Uses Software
- LIBSVM
- pSuc-Lys
- Cd-hit
- iEnhancer-2L
- Pse-in-One
- iPro54-PseKNC
- iDHS-EL
- iSuc-PseOpt
- PseKNC
- iRSpot-PseDNC
- iCTX-Type
- iPTM-mLys
- iPhos-PseEvo
- iOri-Human
- iRNA-AI
- pLoc-mAnimal
- pLoc-mVirus
- pLoc-mEuk
- iRNA-PseColl
- iATC-mHyb
- iRNAm5C-PseDNC
- POSSUM
- iPreny-PseAAC
- iRSpot-EL
- iPromoter-2L
- PREvaIL
- pLoc-mGneg
- pLoc-mPlant
- iHSP-PseRAAAC
- iKcr-PseEns
- iProt-Sub
- iRNA-3typeA
- pLoc-mHum
- pLoc_bal-mHum
- iDNA6mA-PseKNC
- iPPI-PseAAC
- Quokka
- 2L-piRNA
- iEnhancer-EL
- iRO-3wPseKNC
- pLoc_bal-mGpos
- iRSpot-Pse6NC
- iFeature
- pLoc_bal-mGneg
- iLoc-lncRNA
- PROSPERous
- PseKRAAC
Cites Work
- pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
- 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
- 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
- Pseudo amino acid composition and multi-class support vector machines approach for conotoxin superfamily classification
- Random forests
