Articles with "discovery optimization" as a keyword



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Discovery and optimization of 3-thiophenylcoumarins as novel agents against Parkinson's disease: Synthesis, in vitro and in vivo studies.

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Published in 2020 at "Bioorganic chemistry"

DOI: 10.1016/j.bioorg.2020.103986

Abstract: Monoamine oxidase B (MAO-B) inhibitors are still receiving great attention as promising therapeutic agents for central nervous system disorders. This study explores, for the first time, the potential of 3-thiophenylcoumarins as in vitro and in… read more here.

Keywords: optimization thiophenylcoumarins; parkinson disease; discovery optimization; vitro vivo ... See more keywords
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Discovery and optimization of thienopyridine derivatives as novel urea transporter inhibitors.

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Published in 2019 at "European journal of medicinal chemistry"

DOI: 10.1016/j.ejmech.2019.03.060

Abstract: Urea transporters (UTs) play an important role in the urine concentrating mechanism and are recognized as novel targets for developing small molecule inhibitors with salt-sparing diuretic activity. Thienoquinoline derivatives, a class of novel UT-B inhibitors… read more here.

Keywords: transporter inhibitors; discovery optimization; thienopyridine derivatives; urea transporter ... See more keywords
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Discovery and Optimization of a 4-Aminopiperidine Scaffold for Inhibition of Hepatitis C Virus Assembly.

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Published in 2021 at "Journal of medicinal chemistry"

DOI: 10.1021/acs.jmedchem.1c00696

Abstract: The majority of FDA-approved HCV therapeutics target the viral replicative machinery. An automated high-throughput phenotypic screen identified several small molecules as potent inhibitors of hepatitis C virus replication. Here, we disclose the discovery and optimization… read more here.

Keywords: discovery optimization; optimization aminopiperidine; hepatitis virus; aminopiperidine scaffold ... See more keywords
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Discovery and Optimization of the First Highly Effective and Orally Available Galectin-3 Inhibitors for Treatment of Fibrotic Disease

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Published in 2022 at "Journal of Medicinal Chemistry"

DOI: 10.1021/acs.jmedchem.2c00660

Abstract: Galectin-3 is a carbohydrate-binding protein central to regulating mechanisms of diseases such as fibrosis, cancer, metabolic, inflammatory, and heart disease. We recently found a high affinity (nM) thiodigalactoside GB0139 which currently is in clinical development… read more here.

Keywords: disease; optimization first; discovery optimization; first highly ... See more keywords
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Discovery and Optimization of Quinolinone Derivatives as Potent, Selective and Orally Bioavailable mutant Isocitrate Dehydrogenase 1 (mIDH1) Inhibitors.

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Published in 2019 at "Journal of medicinal chemistry"

DOI: 10.1021/acs.jmedchem.9b00362

Abstract: Mutations at the arginine residue (R132) in isocitrate dehydrogenase 1 (IDH1) are frequently identified in various human cancers. Inhibition of mutant IDH1 (mIDH1) with small molecules has been clinically validated as a promising therapeutic treatment… read more here.

Keywords: orally bioavailable; midh1; isocitrate dehydrogenase; discovery optimization ... See more keywords
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Discovery and Optimization of Inhibitors of the Parkinson's Disease Associated Protein DJ-1.

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Published in 2018 at "ACS chemical biology"

DOI: 10.1021/acschembio.8b00701

Abstract: DJ-1 is a Parkinson's disease associated protein endowed with enzymatic, redox sensing, regulatory, chaperoning, and neuroprotective activities. Although DJ-1 has been vigorously studied for the past decade and a half, its exact role in the… read more here.

Keywords: associated protein; discovery optimization; optimization inhibitors; disease ... See more keywords
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Polymer Microarrays for the Discovery and Optimization of Robust Optical-Fiber-Based pH Sensors.

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Published in 2019 at "ACS combinatorial science"

DOI: 10.1021/acscombsci.9b00031

Abstract: Polymer microarrays were utilized for the high-throughput screening and discovery of optimal polymeric substrates capable of trapping functional ratiometric fluorescence-based pH sensors. This led to the identification of poly(methyl methacrylate- co-2-(dimethylamino) ethyl acrylate) (PA101), which… read more here.

Keywords: optimization robust; based sensors; polymer microarrays; robust optical ... See more keywords
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Discovery and Optimization of Rationally Designed Bicyclic Inhibitors of Human Arginase to Enhance Cancer Immunotherapy.

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Published in 2020 at "ACS medicinal chemistry letters"

DOI: 10.1021/acsmedchemlett.0c00058

Abstract: The action of arginase, a metalloenzyme responsible for the hydrolysis of arginine to urea and ornithine, is hypothesized to suppress immune-cell activity within the tumor microenvironment, and thus its inhibition may constitute a means by… read more here.

Keywords: optimization rationally; discovery optimization; inhibitors human; human arginase ... See more keywords
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Discovery and Optimization of Triazolopyrimidinone Derivatives as Selective NLRP3 Inflammasome Inhibitors.

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Published in 2022 at "ACS medicinal chemistry letters"

DOI: 10.1021/acsmedchemlett.2c00242

Abstract: The NLRP3 inflammasome is a multiprotein complex that facilitates activation and release of the proinflammatory cytokines interleukin-1β (IL-1β) and IL-18 in response to infection or endogenous stimuli. It can be inappropriately activated by a range… read more here.

Keywords: triazolopyrimidinone derivatives; derivatives selective; optimization triazolopyrimidinone; discovery optimization ... See more keywords
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Discovery and Optimization of a Novel Macrocyclic Amidinourea Series Active as Acidic Mammalian Chitinase Inhibitors.

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Published in 2023 at "ACS medicinal chemistry letters"

DOI: 10.1021/acsmedchemlett.2c00472

Abstract: Our research group has been involved for a long time in the development of macrocyclic amidinoureas (MCAs) as antifungal agents. The mechanistic investigation drove us to perform an in silico target fishing study, which allowed… read more here.

Keywords: optimization novel; chitinase; mammalian chitinase; discovery optimization ... See more keywords
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Machine-Learning-Guided Discovery and Optimization of Additives in Preparing Cu Catalysts for CO2 Reduction.

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Published in 2021 at "Journal of the American Chemical Society"

DOI: 10.1021/jacs.1c00339

Abstract: Discovery and optimization of new catalysts can be potentially accelerated by efficient data analysis using machine-learning (ML). In this paper, we record the process of searching for additives in the electrochemical deposition of Cu catalysts… read more here.

Keywords: co2 reduction; machine learning; discovery optimization; discovery ... See more keywords