Showing 11,901 - 11,920 results of 100,553 for search '(( 50 ms decrease ) OR ( 5 ((teer decrease) OR (((a decrease) OR (mean decrease)))) ))', query time: 1.48s Refine Results
  1. 11901
  2. 11902

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

    Published 2023
    “…Here, we proposed the concept of “nonbioavailable substructures”, referring to substructures that are unfavorable to bioavailability. A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”
  3. 11903

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

    Published 2023
    “…Here, we proposed the concept of “nonbioavailable substructures”, referring to substructures that are unfavorable to bioavailability. A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”
  4. 11904

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

    Published 2023
    “…Here, we proposed the concept of “nonbioavailable substructures”, referring to substructures that are unfavorable to bioavailability. A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”
  5. 11905

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

    Published 2023
    “…Here, we proposed the concept of “nonbioavailable substructures”, referring to substructures that are unfavorable to bioavailability. A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”
  6. 11906

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

    Published 2023
    “…Here, we proposed the concept of “nonbioavailable substructures”, referring to substructures that are unfavorable to bioavailability. A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”
  7. 11907
  8. 11908
  9. 11909

    Concentrations of 5-HT and 5-HIAA in brain tissue. by Thibault Renoir (348572)

    Published 2013
    “…Both 5-HT and 5-HIAA concentrations were decreased in the hippocampus (A/B), the cortex (C/D) and the striatum (E/F) in female HD mice when compared to WT animals. …”
  10. 11910
  11. 11911

    Investigating the shared genetics of non-syndromic cleft lip/palate and facial morphology by Laurence J. Howe (5579186)

    Published 2018
    “…Where evidence was found of genetic overlap, we used bidirectional Mendelian randomization (MR) to test the hypothesis that genetic liability to nsCL/P is causally related to implicated facial phenotypes. Across 5,804 individuals of European ancestry from two studies, we found strong evidence, using PRS, of genetic overlap between nsCL/P and philtrum width; a 1 S.D. increase in nsCL/P PRS was associated with a 0.10 mm decrease in philtrum width (95% C.I. 0.054, 0.146; P = 2x10<sup>-5</sup>). …”
  12. 11912
  13. 11913
  14. 11914
  15. 11915
  16. 11916

    VEGF overexpression in OU culture increased OU size and altered stem/progenitor cell gene expression. by Christopher R. Schlieve (3179439)

    Published 2016
    “…(C) Significant increase in Bmi1 and Atoh1 expression and decrease in EphB2 expression was observed in doxycycline-treated VEGF OU compared to controls at 5 days (*p<0.05). …”
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  18. 11918
  19. 11919
  20. 11920