Analyze, Visualize, and Predict Lung Cancer Drug Resistance based on Molecular Dynamics Simulation and Machine Learning

基於分子動力學模擬和機器學習的肺癌抗藥性進行分析,可視化及其預測

Student thesis: Doctoral Thesis

Research Output

  1. 2022
  2. Published

    Correlated Motions and Dynamics in Different Domains of Epidermal Growth Factor Receptor with L858R and T790M Mutations

    Qureshi, R., Ghosh, A. & Yan, H., Jan 2022, In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19, 1, p. 383-394

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 10
    Check@CityULib
  3. 2021
  4. Published

    Visualization of Protein-Drug Interactions for the Analysis of Drug Resistance in Lung Cancer

    Rizwan, Q., Zhu, M. & Yan, H., May 2021, In: IEEE Journal of Biomedical and Health Informatics. 25, 5, p. 1839-1848 9209049.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 11
    Check@CityULib
  5. 2019
  6. Published

    Computational Analysis of Structural Dynamics of EGFR and its Mutants

    Rizwan, Q., Zhu, M., Ghosh, A. & Yan, H., Nov 2019, Proceedings: 2019 IEEE International Conference on Bioinformatics and Biomedicine. Yoo, I., Bi, J. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers, p. 2784-2791 8983351. (Proceedings - IEEE International Conference on Bioinformatics and Biomedicine, BIBM).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Scopus citations: 5
    Check@CityULib
  7. Published

    Parametric Models for Understanding Atomic Trajectories in Different Domains of Lung Cancer Causing Protein

    QURESHI, R., NAWAZ, M., GHOSH, A. & YAN, H., 2019, In: IEEE Access. 7, p. 67551-67563 8720156.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 14
    Check@CityULib