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Toplam kayıt 4, listelenen: 1-4
MDeePred: novel multi-channel protein featurization for deep learning-based binding affinity prediction in drug discovery
(Oxford University Press, 2021)
Motivation: Identification of interactions between bioactive small molecules and target proteins is crucial for novel drug discovery, drug repurposing and uncovering off-target effects. Due to the tremendous size of the ...
Large-scale automated function prediction of protein sequences and an experimental case study validation on PTEN transcript variants
(Wiley, 2018)
Recent advances in computing power and machine learning empower functional annotation of protein sequences and their transcript variations. Here, we present an automated prediction system UniGOPred, for GO annotations and ...
SLPred: a multi-view subcellular localization prediction tool for multi-location human proteins
(Oxford University Press, 2022)
Accurate prediction of the subcellular locations (SLs) of proteins is a critical topic in protein science. In this study, we present SLPred, an ensemble-based multi-view and multi-label protein subcellular localization ...
ProFAB—open protein functional annotation benchmark
(Oxford University Press, 2023)
As the number of protein sequences increases in biological databases, computational methods are required to provide accurate functional annotation with high coverage. Although several machine learning methods have been ...