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  1. 1

    Transdermal Drug Delivery by Ong, Yuhui

    Published 2016
    “…As each drugs have different molecular properties, operation parameters are varied accordingly. …”
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    Final Year Project (FYP)
  2. 2

    Investigating viral glycosylation pathways for drug and vaccine development by Brun, J

    Published 2021
    “…</p> <p>The current COVID-19 pandemic has highlighted the urgent need for vaccines and antiviral drugs. The principal topic of my DPhil centres on addressing these needs for viral infection. …”
    Thesis
  3. 3

    Deep learning methods for genome-based prediction of drug resistance in Mycobacterium tuberculosis by Wang, C

    Published 2023
    “…Recent years have seen a concerning rise in drug-resistant tuberculosis cases, calling for the development of new approaches for drug susceptibility testing. …”
    Thesis
  4. 4

    A hydrophilic polyimidazolium antibiotic targeting the membranes of Gram-negative bacteria by Chen, Yahua, Yong, Melvin, Li, Ming, Si, Zhangyong, Koh, Chong Hui, Lau, Pearlyn, Chang, Yi Wei, Teo, Jeanette, Chan-Park, Mary B., Gan, Yunn-Hwen

    Published 2024
    “…The rise of MDR Gram-negative bacteria (GNB), especially those resistant to last-resort drugs such as carbapenems and colistin, is a global health risk and calls for increased efforts to discover new antimicrobial compounds. …”
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    Journal Article
  5. 5

    Identifying antifungal resistance mechanisms and modes of action using SAturated Transposon Analysis in Yeast (SATAY) by Karadzas, M

    Published 2024
    “…These screens reveal antifungal drug targets, transporters responsible for drug uptake or efflux, as well as metabolic, signalling and trafficking pathways affecting antifungal susceptibility. …”
    Thesis
  6. 6

    Part I : Peptide functionalized materials for gram-negative bacteria targeted PDT and LPS sensing. Part II : Small peptide and membrane lipid based self-assembled nanostructures fo... by Liu, Fang

    Published 2014
    “…In part II, my first project is the development of novel drug-loaded nanogels for pH sensitive drug release, which will be described in chapter 3. …”
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    Thesis
  7. 7
  8. 8

    AI is a viable alternative to high throughput screening: a 318-target study by Wallach, Izhar, Bernard, Denzil, Nguyen, Kong, Ho, Gregory, Morrison, Adrian, Stecula, Adrian, Rosnik, Andreana, O’Sullivan, Ann Marie, Davtyan, Aram, Samudio, Ben, Thomas, Bill, Worley, Brad, Butler, Brittany, Laggner, Christian, Thayer, Desiree, Moharreri, Ehsan, Friedland, Greg, Truong, Ha, van den Bedem, Henry, Ng, Ho Leung, Stafford, Kate, Sarangapani, Krishna, Giesler, Kyle, Ngo, Lien, Mysinger, Michael, Ahmed, Mostafa, Anthis, Nicholas J., Henriksen, Niel, Gniewek, Pawel, Eckert, Sam, de Oliveira, Saulo, Suterwala, Shabbir, PrasadPrasad, Srimukh Veccham Krishna, Shek, Stefani, Contreras, Stephanie, Hare, Stephanie, Palazzo, Teresa, O’Brien, Terrence E., Van Grack, Tessa, Williams, Tiffany, Chern, Ting-Rong, Kenyon, Victor, Lee, Andreia H., Cann, Andrew B., Bergman, Bastiaan, Anderson, Brandon M., Cox, Bryan D., Warrington, Jeffrey M., Sorenson, Jon M., Goldenberg, Joshua M., Young, Matthew A., DeHaan, Nicholas, Pemberton, Ryan P., Schroedl, Stefan, Abramyan, Tigran M., Gupta, Tushita, Mysore, Venkatesh, Presser, Adam G., Ferrando, Adolfo A., Andricopulo, Adriano D., Ghosh, Agnidipta, Ayachi, Aicha Gharbi, Mushtaq, Aisha, Shaqra, Ala M., Toh, Alan Kie Leong, Smrcka, Alan V., Ciccia, Alberto, de Oliveira, Aldo Sena, Sverzhinsky, Aleksandr, de Sousa, Alessandra Mara, Agoulnik, Alexander I., Kushnir, Alexander, Freiberg, Alexander N., Statsyuk, Alexander V., Gingras, Alexandre R., Degterev, Alexei, Tomilov, Alexey, Vrielink, Alice, Garaeva, Alisa A., Bryant-Friedrich, Amanda, Caflisch, Amedeo, Patel, Amit K., Rangarajan, Amith Vikram, Matheeussen, An, Battistoni, Andrea, Caporali, Andrea, Chini, Andrea, Ilari, Andrea, Mattevi, Andrea, Foote, Andrea Talbot, Trabocchi, Andrea, Stahl, Andreas, Herr, Andrew B., Berti, Andrew, Freywald, Andrew, Reidenbach, Andrew G., Lam, Andrew, Cuddihy, Andrew R., White, Andrew, Taglialatela, Angelo

    Published 2024
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    Journal Article
  9. 9

    Modular Titratable Polypills for Personalized Medicine and Simplification of Complex Medication Regimens by Karavasili, Christina, Babaee, Sahab, Kutty, Shruti, Chu, Jacqueline N., Min, Seokkee, Fitzgerald, Nina, Morimoto, Joshua, Inverardi, Nicoletta, Traverso, Giovanni

    Published 2024
    “…To fill the existing gap in drug dose personalization and simplification of complex medication regimens commonly encountered in the treatment of cardiovascular disease, tuberculosis, and tapering of corticosteroid therapy, a modular titratable polypill approach that simultaneously addresses both aspects is proposed. …”
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    Article
  10. 10

    Towards understanding genome regulation via high-resolution analysis of chromatin accessibility by Dai, L

    Published 2023
    “…For both bulk and single-cell datasets, I show the robustness of EpiCall in peak calling down-sampled low-quality data, a significant advantage over current peak callers.…”
    Thesis
  11. 11

    How do you predict your future movement and locations? by Ko, Zhan Hong

    Published 2014
    “…This project serves to provide an analysis on GPS data and external information like the calls and messages of a person to predict his/her future movement and location. …”
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    Final Year Project (FYP)
  12. 12

    Interfacial phenomena and biological recognition of mammalian cells on biomimetic materials by Chan, Vincent.

    Published 2008
    “…We intend to fill this gap by interrogating the biophysical events involved in membrane-polymer interaction, biological adhesion, tissue engineering and cellular fluid mechanics. …”
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    Research Report
  13. 13

    Antimicrobial efficacy testing of antibiotic-containing biodegradable nanopolymers against biofilm and planktonic cells. by Polimyr Caesar Dave Pelisco Dingal.

    Published 2009
    “…With efficient use of drug-encapsulated nanopolymers, bactericidal dosages are sufficiently lowered and dosing intervals can be extended due to the sustained drug release feature afforded by these efficacious nanocarriers.…”
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    Final Year Project (FYP)
  14. 14

    An experimental and simulation study of chip transportation behaviour in gundrilling by Tnay, Guan Leong

    Published 2017
    “…From the experiments, terminal velocities of typical gun drill chips at different range of particle Reynolds number were determined to construct the unique drag curve. Based on the findings, a computational fluid dynamic (CFD) numerical model was developed to predict the lateral drag forces with respect to the particle Reynolds number. …”
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    Thesis
  15. 15
  16. 16

    Determination of operating point for a propulsive wing UAV using CFD by Chan, Chee Shuan

    Published 2018
    “…CFD simulations were performed using a 2D RANS k-ε turbulence model and the rotating flow was captured using the moving reference frame method. Lift and drag were obtained for different angle of attacks via a control volume analysis of CFD results. …”
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    Final Year Project (FYP)
  17. 17

    Settling velocity of a porous object by Muhammad Khalil Khaidir

    Published 2015
    “…In actual situations, particles found in wastewater which are commonly called flocs are porous which means that there are cavities within the particles that allow advection flow through it. …”
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    Final Year Project (FYP)
  18. 18
  19. 19

    CFD analysis of flow across adjacent buildings with concave roof structure using large-eddy simulation (LES) by Foo, Tze Jie

    Published 2017
    “…The software to be used is an open source CFD program called OpenFoam, which exposes the user to Linux kind of programming environment. …”
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    Final Year Project (FYP)
  20. 20

    Development and Application of a Data-Driven Signal Detection Method for Surveillance of Adverse Event Variability Across Manufacturing Lots of Biologics by Wilde, Joshua T., Springs, Stacy, Wolfrum, Jacqueline M., Levi, Retsef

    Published 2023
    “…We propose a data-driven signal detection method called HMMScan to monitor for manufacturing lot-dependent changes in adverse event (AE) rates, and herein apply it to a biologic drug. …”
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    Article