Showing 1,161 - 1,180 results of 100,884 for search '(( 5 we decrease ) OR ( 5 ((step decrease) OR (((teer decrease) OR (a decrease)))) ))', query time: 1.45s Refine Results
  1. 1161

    Image_3_TRAPS mutations in Tnfrsf1a decrease the responsiveness to TNFα via reduced cell surface expression of TNFR1.tif by Takahiko Akagi (13138338)

    Published 2022
    “…T79M is a known mutation responsible for TRAPS, whereas G87V is a TRAPS mutation that we have reported, and T90I is a variant of unknown significance. …”
  2. 1162

    Image_6_TRAPS mutations in Tnfrsf1a decrease the responsiveness to TNFα via reduced cell surface expression of TNFR1.tif by Takahiko Akagi (13138338)

    Published 2022
    “…T79M is a known mutation responsible for TRAPS, whereas G87V is a TRAPS mutation that we have reported, and T90I is a variant of unknown significance. …”
  3. 1163

    Image_2_TRAPS mutations in Tnfrsf1a decrease the responsiveness to TNFα via reduced cell surface expression of TNFR1.tif by Takahiko Akagi (13138338)

    Published 2022
    “…T79M is a known mutation responsible for TRAPS, whereas G87V is a TRAPS mutation that we have reported, and T90I is a variant of unknown significance. …”
  4. 1164
  5. 1165

    Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

    Published 2023
    “…A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”
  6. 1166

    Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

    Published 2023
    “…A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”
  7. 1167

    Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

    Published 2023
    “…A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”
  8. 1168

    Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

    Published 2023
    “…A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”
  9. 1169

    Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

    Published 2023
    “…A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”
  10. 1170
  11. 1171

    Decreased MCM2-6 in Drosophila S2 Cells Does Not Generate Significant DNA Damage or Cause a Marked Increase in Sensitivity to Replication Interference by Isabelle Crevel (119003)

    Published 2011
    “…<div><p>A reduction in the level of some MCM proteins in human cancer cells (MCM5 in U20S cells or MCM3 in Hela cells) causes a rapid increase in the level of DNA damage under normal conditions of cell proliferation and a loss of viability when the cells are subjected to replication interference. …”
  12. 1172
  13. 1173

    Vascular Endothelial Growth Factor (VEGF) Bioavailability Regulates Angiogenesis and Intestinal Stem and Progenitor Cell Proliferation during Postnatal Small Intestinal Development by Christopher R. Schlieve (3179439)

    Published 2016
    “…<div><p>Background</p><p>Vascular endothelial growth factor (VEGF) is a highly conserved, master regulatory molecule required for endothelial cell proliferation, organization, migration and branching morphogenesis. …”
  14. 1174

    Macroalgae Decrease Growth and Alter Microbial Community Structure of the Reef-Building Coral, <em>Porites astreoides</em> by Rebecca Vega Thurber (41633)

    Published 2012
    “…To determine if macroalgae alter the coral microbiome, we conducted a field-based experiment in which the coral <em>Porites astreoides</em> was placed in competition with five species of macroalgae. …”
  15. 1175
  16. 1176
  17. 1177

    Decreased antihyperglycemic drug use driven by high out-of-pocket costs despite Medicare coverage gap closure by Mugdha Gokhale (8676201)

    Published 2020
    “…<a><b>Objectives</b></a>: <a>Using the 2016 Medicare part D coverage gap as an example, we explored effects of increased out-of-pocket costs on adherence to branded </a>dipeptidyl peptidase-4 inhibitors (DPP-4i) in patients without financial subsidies, relative to subsidized patients who do not experience increased spending during the gap. …”
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