In silico prediction of the granzyme B degradome

10.1186/1471-2164-12-S3-S11

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Bibliographic Details
Main Authors:	Wee, L.J.K, Er, E.P.S, Ng, L.F.P, Tong, J.C
Other Authors:	DEPT OF BIOCHEMISTRY
Format:	Conference or Workshop Item
Published:	2020
Subjects:	Antiviral activities Caspases Cellular process Chikungunya Cleavage sites Data sets Functional class Granzyme B In-silico Innate immune response Potential sites Prediction methods Regulatory domain Serine protease SVM classifiers Test sets Tetrapeptide sequence Viral proteins Amino acids Cell death Classification (of information) Feature extraction Forecasting Learning algorithms Proteins Support vector machines Bioinformatics granzyme proteome virus protein article Bayes theorem biology Chikungunya alphavirus factual database metabolism support vector machine Bayes Theorem Chikungunya virus Computational Biology Databases, Factual Granzymes Proteome Support Vector Machines Viral Proteins
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/181619
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Institution:	National University of Singapore

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