Prediction of antioxidant peptides using a quantitative structure−activity relationship predictor (AnOxPP) based on bidirectional long short-term memory neural network and interpretable amino acid descriptors
Dongya Qin, Linna Jiao, Ruihong Wang, Yi Zhao, Youjin Hao, Guizhao Liang
Topics & Concepts
Artificial neural networkAntioxidantArtificial intelligenceFeature selectionMachine learningFeature (linguistics)Quantitative structure–activity relationshipComputer sciencePeptideAmino acidRandom forestMolecular descriptorComputational biologyChemistryPattern recognition (psychology)BiochemistryBiologyLinguisticsPhilosophyProtein Hydrolysis and Bioactive PeptidesComputational Drug Discovery MethodsMachine Learning in Bioinformatics