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一种用于 A 类β-内酰胺酶β-内酰胺类抗生素分解的高效计算分析方法。

An Efficient Computational Assay for β-Lactam Antibiotic Breakdown by Class A β-Lactamases.

机构信息

School of Biochemistry , University of Bristol , University Walk, Bristol BS8 1TD , United Kingdom.

Centre for Computational Chemistry, School of Chemistry , University of Bristol , Cantock's Close, Bristol BS8 1TS , United Kingdom.

出版信息

J Chem Inf Model. 2019 Aug 26;59(8):3365-3369. doi: 10.1021/acs.jcim.9b00442. Epub 2019 Aug 7.

Abstract

Class A β-lactamases cause clinically relevant resistance to β-lactam antibiotics. Carbapenem degradation is a particular concern. We present an efficient QM/MM molecular simulation protocol that accurately predicts the activity of β-lactamases against carbapenems. Simulations take less than 24 CPU hours, a greater than 99% reduction, and do not require fitting against experimental data or significant parametrization. This computational assay also reveals mechanistic details of β-lactam breakdown and should assist in evaluating emerging β-lactamase variants and developing new antibiotics.

摘要

A 类 β-内酰胺酶导致对 β-内酰胺类抗生素的临床相关耐药性。碳青霉烯类物质的降解是一个特别令人关注的问题。我们提出了一种有效的量子力学/分子力学(QM/MM)分子模拟方案,该方案能够准确预测β-内酰胺酶对碳青霉烯类物质的活性。模拟时间不到 24 个 CPU 小时,减少了 99%以上,并且不需要针对实验数据进行拟合或进行大量参数化。这种计算测定方法还揭示了β-内酰胺类物质分解的机制细节,应该有助于评估新出现的β-内酰胺酶变体和开发新的抗生素。

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