All Stories

  1. A Sequence-Based Prediction Model of Vesicular Transport Proteins Using Ensemble Deep Learning

    Article • September 2023, ACM (Association for Computing Machinery)

    Nguyen Quoc Khanh Le

  2. DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes

    Article • Neurocomputing, January 2020, Elsevier

    Nguyen Quoc Khanh Le

  3. Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams

    Article • Frontiers in Bioengineering and Biotechnology, November 2019, Frontiers

    Nguyen Quoc Khanh Le

  4. A sequence-based approach for identifying recombination spots in Saccharomyces cerevisiae by using hyper-parameter optimization in FastText and support vector machine

    Article • Chemometrics and Intelligent Laboratory Systems, November 2019, Elsevier

    Nguyen Quoc Khanh Le

  5. Prediction of ATP-binding sites in membrane proteins using a two-dimensional convolutional neural network

    Article • Journal of Molecular Graphics and Modelling, November 2019, Elsevier

    Nguyen Quoc Khanh Le

  6. Identification of clathrin proteins by incorporating hyperparameter optimization in deep learning and PSSM profiles

    Article • Computer Methods and Programs in Biomedicine, August 2019, Elsevier

    Nguyen Quoc Khanh Le

  7. Fertility-GRU: Identifying Fertility-Related Proteins by Incorporating Deep-Gated Recurrent Units and Original Position-Specific Scoring Matrix Profiles

    Article • Journal of Proteome Research, July 2019, American Chemical Society (ACS)

    Nguyen Quoc Khanh Le

  8. Ensemble of Deep Recurrent Neural Networks for Identifying Enhancers via Dinucleotide Physicochemical Properties

    Article • Cells, July 2019, MDPI AG

    Nguyen Quoc Khanh Le

  9. ET-GRU: using multi-layer gated recurrent units to identify electron transport proteins

    Article • BMC Bioinformatics, July 2019, Springer Science + Business Media

    Nguyen Quoc Khanh Le

  10. Using word embedding technique to efficiently represent protein sequences for identifying substrate specificities of transporters

    Article • Analytical Biochemistry, July 2019, Elsevier

    Nguyen Quoc Khanh Le

  11. iMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step rule

    Article • Analytical Biochemistry, June 2019, Elsevier

    Nguyen Quoc Khanh Le

  12. iN6-methylat (5-step): identifying DNA N6-methyladenine sites in rice genome using continuous bag of nucleobases via Chou’s 5-step rule

    Article • Molecular Genetics and Genomics, May 2019, Springer Science + Business Media

    Nguyen Quoc Khanh Le

  13. In silico screening of sugar alcohol compounds to inhibit viral matrix protein VP40 of Ebola virus

    Article • Molecular Biology Reports, April 2019, Springer Science + Business Media

    Nguyen Quoc Khanh Le

  14. iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding

    Article • Analytical Biochemistry, April 2019, Elsevier

    Nguyen Quoc Khanh Le

  15. SNARE-CNN: a 2D convolutional neural network architecture to identify SNARE proteins from high-throughput sequencing data

    Article • PeerJ Computer Science, February 2019, PeerJ

    Nguyen Quoc Khanh Le

  16. Using two-dimensional convolutional neural networks for identifying GTP binding sites in Rab proteins

    Article • Journal of Bioinformatics and Computational Biology, February 2019, World Scientific Pub Co Pte Lt

    Nguyen Quoc Khanh Le

  17. Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture

    Article • Computational and Structural Biotechnology Journal, January 2019, Elsevier

    Nguyen Quoc Khanh Le

  18. Prediction of FMN Binding Sites in Electron Transport Chains based on 2-D CNN and PSSM Profiles

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, January 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Nguyen Quoc Khanh Le

  19. Incorporating post translational modification information for enhancing the predictive performance of membrane transport proteins

    Article • Computational Biology and Chemistry, December 2018, Elsevier

    Nguyen Quoc Khanh Le

  20. Exploiting Two-Layer Support Vector Machine to Predict Protein SUMOylation Sites

    Article • November 2018, Springer Science + Business Media

    Nguyen Quoc Khanh Le

  21. Classifying the molecular functions of Rab GTPases in membrane trafficking using deep convolutional neural networks

    Article • August 2018, Elsevier

    Nguyen Quoc Khanh Le

  22. DeepEfflux: a 2D convolutional neural network model for identifying families of efflux proteins in transporters

    Article • Bioinformatics, April 2018, Oxford University Press (OUP)

    Nguyen Quoc Khanh Le

  23. A deep learning framework for protein function prediction

    Article • Journal of Computational Chemistry, June 2017, Wiley

    Nguyen Quoc Khanh Le

  24. Identifying the molecular functions of electron transport proteins using radial basis function networks and biochemical properties

    Article • Journal of Molecular Graphics and Modelling, May 2017, Elsevier

    Nguyen Quoc Khanh Le

  25. Incorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteins

    Article • BMC Bioinformatics, December 2016, Springer Science + Business Media

    Nguyen Quoc Khanh Le

  26. Using Deep Learning with Position Specific Scoring Matrices to Identify Efflux Proteins in Membrane and Transport Proteins

    Article • October 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Nguyen Quoc Khanh Le

  27. Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs

    Article • BMC Bioinformatics, July 2016, Springer Science + Business Media

    Nguyen Quoc Khanh Le