about
Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairsIncorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteins.Identifying the molecular functions of electron transport proteins using radial basis function networks and biochemical properties.Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins.Incorporating post translational modification information for enhancing the predictive performance of membrane transport proteinsIn silico screening of sugar alcohol compounds to inhibit viral matrix protein VP40 of Ebola virusDeepEfflux: a 2D convolutional neural network model for identifying families of efflux proteins in transportersClassifying the molecular functions of Rab GTPases in membrane trafficking using deep convolutional neural networksClassifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-GramsUsing word embedding technique to efficiently represent protein sequences for identifying substrate specificities of transportersET-GRU: using multi-layer gated recurrent units to identify electron transport proteinsiN6-methylat (5-step): identifying DNA N6-methyladenine sites in rice genome using continuous bag of nucleobases via Chou's 5-step ruleIdentification of clathrin proteins by incorporating hyperparameter optimization in deep learning and PSSM profilesiEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embeddingEnsemble of Deep Recurrent Neural Networks for Identifying Enhancers via Dinucleotide Physicochemical PropertiesPrediction of ATP-binding sites in membrane proteins using a two-dimensional convolutional neural networkFertility-GRU: Identifying Fertility-Related Proteins by Incorporating Deep-Gated Recurrent Units and Original Position-Specific Scoring Matrix ProfilesApplication of Computational Biology and Artificial Intelligence Technologies in Cancer Precision Drug DiscoveryUsing two-dimensional convolutional neural networks for identifying GTP binding sites in Rab proteinsPrediction of FMN Binding Sites in Electron Transport Chains based on 2-D CNN and PSSM ProfilesComputational identification of vesicular transport proteins from sequences using deep gated recurrent units architectureiMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step ruleUsing extreme gradient boosting to identify origin of replication in Saccharomyces cerevisiae via hybrid features
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P50
description
researcher
@en
wetenschapper
@nl
name
Nguyen-Quoc-Khanh Le
@en
Nguyen-Quoc-Khanh Le
@nl
type
label
Nguyen-Quoc-Khanh Le
@en
Nguyen-Quoc-Khanh Le
@nl
prefLabel
Nguyen-Quoc-Khanh Le
@en
Nguyen-Quoc-Khanh Le
@nl
P2456
P31
P496
0000-0003-4896-7926