59 research outputs found
Impact assessment in a non-government organisation
<p>Supplemental_figure for A Simple Scoring System Using the Red Blood Cell Distribution Width, Delta Neutrophil Index, and Platelet Count to Predict Mortality in Patients With Severe Sepsis and Septic Shock by Yong Chan Kim, Je Eun Song, Eun Jin Kim, Heun Choi, Woo Yong Jeong, In Young Jung, Su Jin Jeong, Nam Su Ku, Jun Yong Choi, Young Goo Song, and June Myung Kim in Journal of Intensive Care Medicine</p
Supplemental_table_2 - A Simple Scoring System Using the Red Blood Cell Distribution Width, Delta Neutrophil Index, and Platelet Count to Predict Mortality in Patients With Severe Sepsis and Septic Shock
<p>Supplemental_table_2 for A Simple Scoring System Using the Red Blood Cell Distribution Width, Delta Neutrophil Index, and Platelet Count to Predict Mortality in Patients With Severe Sepsis and Septic Shock by Yong Chan Kim, Je Eun Song, Eun Jin Kim, Heun Choi, Woo Yong Jeong, In Young Jung, Su Jin Jeong, Nam Su Ku, Jun Yong Choi, Young Goo Song, and June Myung Kim in Journal of Intensive Care Medicine</p
<i>In Silico</i> HTS and Structure Based Optimization of Indazole-Derived ULK1 Inhibitors
We
present the outcome of an <i>in silico</i> high throughput
screen (HTS) and optimization of a small molecule Unc-51-Like Kinase
1 (ULK1) inhibitor hit, <b>SR-17398</b>, with an indazole core.
Docking studies guided design efforts that led to inhibitors with
increased activity vs ULK1 (IC<sub>50</sub> < 50 nM). The most
advanced molecules in this inhibitor series (<b>3a</b> and <b>3g</b>) hold promise for further development into selective ULK1
molecular probes to interrogate the biology of ULK1 and to assess
whether selectively targeting autophagy is an effective anticancer
strategy
Correlation between LSM values and other variables.
<p><b>NOTE.</b><sup>a</sup>Pearson’s correlation coefficient, <sup>b</sup>Correlation analyses in only patients who has ever been received each antiretroviral drug, <sup>c</sup>Spearman’s ρ. LSM, liver stiffness measurement; cART, combined antiretroviral treatment; INR, international normalized ratio; NRTIs, nucleoside analogue reverse transcriptase inhibitors; NNRTIs, non-nucleoside analogue reverse transcriptase inhibitors; PIs, protease inhibitors.</p
Rational Development of 4‑Aminopyridyl-Based Inhibitors Targeting Trypanosoma cruzi CYP51 as Anti-Chagas Agents
A new series of 4-aminopyridyl-based
lead inhibitors targeting Trypanosoma cruzi CYP51 (<i>Tc</i>CYP51)
has been developed using structure-based drug design as well as structure–property
relationship (SPR) analyses. The screening hit starting point, LP10
(<i>K</i><sub>D</sub> ≤ 42 nM; EC<sub>50</sub> =
0.65 μM), has been optimized to give the potential leads <b>14t</b>, <b>27i</b>, <b>27q</b>, <b>27r</b>,
and <b>27t</b>, which have low-nanomolar binding affinity to <i>Tc</i>CYP51 and significant activity against T. cruzi amastigotes cultured in human myoblasts
(EC<sub>50</sub> = 14–18 nM for <b>27i</b> and <b>27r</b>). Many of the optimized compounds have improved microsome
stability, and most are selective against human CYPs 1A2, 2D6, and
3A4 (<50% inhibition at 1 μM). A rationale for the improvement
in microsome stability and selectivity of inhibitors against human
metabolic CYP enzymes is presented. In addition, the binding mode
of <b>14t</b> with the Trypanosoma brucei CYP51 (<i>Tb</i>CYP51) orthologue has been characterized
by X-ray structure analysis
Comparisons of baseline characteristics and cumulative exposure durations of antiretroviral drugs between patients with normal and abnormal LSM values.
<p><b>NOTE.</b> Data are expressed as mean ± SD or number (percent). <sup>a</sup>Independent sample two T-test, <sup>b</sup>Fisher’s exact test, <sup>c</sup>Chi-square test, and <sup>d</sup>Mann-Whitney U-test were used.<sup> e</sup>The undetectable range was defined as fewer than 20 copies/mL. LSM, liver stiffness measurement; cART, combined antiretroviral treatment; INR, international normalized ratio; NNRTI, non-nucleoside analogue reverse transcriptase inhibitor; cART, combined antiretroviral treatment; PI, protease inhibitors; NRTI, nucleoside analogue reverse transcriptase inhibitor.</p
Structure-Based Design and Synthesis of Potent and Selective Matrix Metalloproteinase 13 Inhibitors
We describe the use
of comparative structural analysis and structure-guided
molecular design to develop potent and selective inhibitors (<b>10d</b> and (<i>S</i>)-<b>17b</b>) of matrix metalloproteinase
13 (MMP-13). We applied a three-step process, starting with a comparative
analysis of the X-ray crystallographic structure of compound <b>5</b> in complex with MMP-13 with published structures of known
MMP-13·inhibitor complexes followed by molecular design and synthesis
of potent but nonselective zinc-chelating MMP inhibitors (e.g., <b>10a</b> and <b>10b</b>). After demonstrating that the pharmacophores
of the chelating inhibitors (<i>S</i>)-<b>10a</b>,
(<i>R</i>)-<b>10a</b>, and <b>10b</b> were binding
within the MMP-13 active site, the Zn<sup>2+</sup> chelating unit
was replaced with nonchelating polar residues that bridged over the
Zn<sup>2+</sup> binding site and reached into a solvent accessible
area. After two rounds of structural optimization, these design approaches
led to small molecule MMP-13 inhibitors <b>10d</b> and (<i>S</i>)-<b>17b</b>, which bind within the substrate-binding
site of MMP-13 and surround the catalytically active Zn<sup>2+</sup> ion without chelating to the metal. These compounds exhibit at least
500-fold selectivity versus other MMPs
Distribution of LSM values among all study participants.
<p><b>NOTE.</b> The dotted line indicates the cutoff value for abnormal LSM (5.3 kPa). LSM, liver stiffness measurement; kPa, kilopascal.</p
Recruitment flow of study participants for this study.
<p><b>NOTE.</b> LSM, liver stiffness measurement; HBV, hepatitis B virus; HCV, hepatitis C virus; HAV, hepatitis A virus; OI, opportunistic infection; AIDS, acquired immunodeficiency syndrome; cART, combined antiretroviral treatment.</p
Percentage of patients with abnormal LSM values according to cutoff values of the cumulative exposure duration of boosted-PIs (a) and γ-GT level (b).
<p>Percentage of patients with abnormal LSM values according to cutoff values of the cumulative exposure duration of boosted-PIs (a) and γ-GT level (b).</p
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