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37 ta ish

Ish: Identification of Bioactive Compounds of the Endophytic Fungus <i>Aspergillus egypticus</i>-HT166S Inhibiting the Activity of Pancreatic α-Amylase

  1. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

    Peter C. Austin

    MaqolaOchiq kirish20113 iqtibos
    ABI

  2. Citrus Flavonoids as Promising Phytochemicals Targeting Diabetes and Related Complications: A Systematic Review of In Vitro and In Vivo Studies

    Gopalsamy Rajiv Gandhi, Alan Bruno Silva Vasconcelos, Ding‐Tao Wu +7

    Sharh maqolaOchiq kirish20203 iqtibos
    ABI

  3. Effect of two α-glucosidase inhibitors, voglibose and acarbose, on postprandial hyperglycemia correlates with subjective abdominal symptoms

    Tomomi Fujisawa, Hiroshi Ikegami, Kaori Inoue +2

    Maqola20053 iqtibos
    ABI

  4. α-Amylase Inhibitors: A Review of Raw Material and Isolated Compounds from Plant Source

    Paloma Michelle de Sales, Paula Monteiro Souza, Luiz Alberto Simeoni +2

    Sharh maqola20123 iqtibos
    ABI

  5. Investigations Towards New Antidiabetic Drugs from Fungal Endophytes Associated with Salvadora Oleoides Decne

    Seema Dhankhar, Sandeep Singh Dhankhar, Jaya Parkash Yadav

    Maqola20133 iqtibos
    ABI

  6. The performance of different propensity-score methods for estimating differences in proportions (risk differences or absolute risk reductions) in observational studies

    Peter C. Austin

    MaqolaOchiq kirish20102 iqtibos
    ABI

  7. Evaluation of a flavonoids library for inhibition of pancreatic α-amylase towards a structure–activity relationship

    Carina Proença, Marisa Freitas, Daniela Ribeiro +8

    Maqola20192 iqtibos
    ABI

  8. Alpha-glucosidase inhibitors for type 2 diabetes mellitus

    Floris van de Laar, Peter Lucassen, Reinier Akkermans +3

    Sharh maqola20052 iqtibos
    ABI

  9. Inhibitory Potential of Five Traditionally Used Native Antidiabetic Medicinal Plants on<b><i>α</i></b>-Amylase,<b><i>α</i></b>-Glucosidase, Glucose Entrapment, and Amylolysis Kinetics<i>In Vitro</i>

    Carene Marie Nancy Picot, A.H. Subratty, Mohamad Fawzi Mahomoodally

    Maqola20142 iqtibos
    ABI

  10. Generalised Additive Models and Random Forest Approach as effective methods for predictive species density and functional species richness

    Jakub Z. Kosicki

    Maqola20202 iqtibos
    ABI

  11. Estimating COVID-19 Infection and Severity Risks in Patients with Chronic Rhinosinusitis: A Korean Nationwide Cohort Study

    Seung Won Lee, So Young Kim, Sung Yong Moon +7

    Maqola20212 iqtibos
    ABI

  12. Sarlavhasiz

    Boshqa1 iqtibos
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