Risultati della ricerca - Villar, John Justine S.

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  1. 1

    Construction and structural stability analysis of models of dopamine D1 receptor trafficking in renal proximal tubule cells di Villar, John Justine S.

    Pubblicazione 2012
    Tesi


    Copertina
  2. 2

    Construction of potential energy hypersurfaces through quantum chemical calculations application to peptide structure prediction di Villar, John Justine S.

    Tesi


    Copertina
  3. 3

    Structural stability analysis of models of dopamine synthesis and D1 Receptor trafficking in RPT Cells using CRNT di Villar, John Justine S.

    Pubblicato in Philippine Journal of Science (2019)
    Articolo


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  4. 4

    Structural stability analysis of models of dopamine synthesis and D1 receptor trafficking in RPT cells using CRNT di Villar, John Justine S., Pilar-Arceo, Carlene P.C, Mendoza, Eduardo R., Lubenia, Patrick Vincent N.

    Pubblicazione 2019
    Testo
    Analytics


    Copertina
  5. 5

    Minimum energy path problem for peptide folding dynamics di Cruz, Marnoel A.

    Tesi


    Copertina
  6. 6

    Continual learning in Kolmogorov-Arnold networks using automatic grow-and-prune approach di Guevarra, Arjeus A.

    Pubblicazione 2025
    Abstract
    Tesi


    Copertina
  7. 7

    A cell-based multi-objective approach to traffic signal optimization di Dela Cruz, Francis Zac, Flores, Luis Miguel

    Tesi


    Copertina
  8. 8

    Off-lattice protein structure prediction on 3D hydrophobic-polar side-chain model using parallel simulated annealing di Campanano, Gerald Roy D., Lopez, Francis Jonathan J., Ventura, Rowel D.

    Pubblicazione 2016
    Tesi


    Copertina

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