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FtsZ的计算对接:对有前景的抗生素化合物的研究。

Computational docking of FtsZ: Survey of promising antibiotic compounds.

作者信息

Espino Ileini N, Drolet Julia, Jones Ty-Niquia, Uwechue Antonette, Koehler Brittany, Beaird Raquel, Maione Sanni, Darrah Christine, Hijazi Rana, James Christopher, Dupre Annabelle, Koscinski Ewa, Creft Leilani, Giampaolo Michael, Bernier Alexandre, Theisen Kelly E

机构信息

State University of New York at Plattsburgh, 101 Broad Street, Plattsburgh, 12901, NY, USA.

出版信息

Biochem Biophys Rep. 2024 Aug 1;39:101796. doi: 10.1016/j.bbrep.2024.101796. eCollection 2024 Sep.

Abstract

The bacterial cell-division protein FtsZ has been a promising antibiotic target for over a decade now, but there is still a need for more work in this area. So far there are no FtsZ targeting drugs commercially available. We have analyzed a wide variety of prospective drugs and their interactions with multiple FtsZ species using both free and directed docking simulations. Our goal is to present a standardized computational screening method for potential drug compounds targeting FtsZ. Our work is an example of a way to compare many proposed drugs and FtsZ species combinations relatively quickly. A common method for comparison can yield new results that individual studies and varying methods might not show, as we demonstrate here. To our knowledge this is one of the first, if not the first, computational docking study on the new E. coli FtsZ structures obtained in 2020.

摘要

十多年来,细菌细胞分裂蛋白FtsZ一直是一个很有前景的抗生素靶点,但该领域仍需要开展更多研究工作。到目前为止,尚无针对FtsZ的商业化药物。我们使用自由对接和定向对接模拟,分析了多种潜在药物及其与多种FtsZ种类的相互作用。我们的目标是为针对FtsZ的潜在药物化合物提供一种标准化的计算筛选方法。我们的工作是一种相对快速地比较许多候选药物和FtsZ种类组合的方法示例。正如我们在此所展示的,一种通用的比较方法可以产生个别研究和不同方法可能无法显示的新结果。据我们所知,这是对2020年获得的新型大肠杆菌FtsZ结构进行的首批计算对接研究之一,如果不是首个的话。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f8d/11647940/a46d8756f98b/ga1.jpg

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