Identification of novel dual inhibitors targeting XOR and URAT1 via multiple virtual screening methods
Journal of Molecular Structure, ISSN: 0022-2860, Vol: 1256, Page: 132567
2022
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
The clinically applicable single uric acid transporter 1 (URAT1) inhibitor or xanthine oxidoreductase (XOR) inhibitor cannot solve the clinical needs in anti-hyperuricemia well. It is expected that combined inhibition of both XOR and URAT1 might effectively decrease the level of uric acid and avoid the issue of insufficient potency by single-target drugs. 3D-QSAR pharmacophore modeling, molecular docking, and ADMET filtering were applied for potential dual inhibitors. And top-ranked three compounds were selected to MD simulation analysis, with utilization of binding free energy and decomposition data. 4917-2281, 4109-2078 and C301-8913, have potential inhibitory potency for both XOR and URAT1 and were suitable for further experimental analysis and modification.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S002228602200240X; http://dx.doi.org/10.1016/j.molstruc.2022.132567; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85124385005&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S002228602200240X; https://dx.doi.org/10.1016/j.molstruc.2022.132567
Elsevier BV
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