The preliminary efficacy evaluation of the CTLA-4-ig treatment against lupus nephritis through \textit{in-silico} analyses

DOI10.1016/j.jtbi.2019.03.017zbMath1412.92155OpenAlexW2924423452WikidataQ92717333 ScholiaQ92717333MaRDI QIDQ2415808

Lei Cai, Ying Lin, Maoshu Zhu, Fuhua Lu, Hongbin Zhong, Kuo-Chen Chou, Lin He

Publication date: 23 May 2019

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

Full work available at URL: https://doi.org/10.1016/j.jtbi.2019.03.017

zbMATH Keywords

SNPCTLA-4lupus nephritis (LN)

Mathematics Subject Classification ID

Medical applications (general) (92C50) Protein sequences, DNA sequences (92D20)

Uses Software

• pSuc-Lys
• iEnhancer-2L
• iOri-Human
• iRNA-AI
• pLoc-mAnimal
• pLoc-mVirus
• pLoc-mEuk
• iRNA-PseColl
• iATC-mHyb
• iRNAm5C-PseDNC
• iRSpot-EL
• iPromoter-2L
• pLoc-mGneg
• pLoc-mPlant
• iRNA-PseU
• iRNA-3typeA
• pLoc-mHum
• pLoc_bal-mHum
• iDNA6mA-PseKNC
• iPPI-PseAAC
• iEnhancer-EL
• iRO-3wPseKNC
• pLoc_bal-mGpos
• iRSpot-Pse6NC
• pLoc_bal-mGneg

Cites Work

• pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
• A novel representation for apoptosis protein subcellular localization prediction using support vector machine
• 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
• SPrenylC-PseAAC: a sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins

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