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定量预测耐药性流感神经氨酸酶的结合自由能变化。

Quantitative predictions of binding free energy changes in drug-resistant influenza neuraminidase.

机构信息

Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, US Army Medical Research and Materiel Command, Fort Detrick, Frederick, Maryland, USA.

出版信息

PLoS Comput Biol. 2012;8(8):e1002665. doi: 10.1371/journal.pcbi.1002665. Epub 2012 Aug 30.

DOI:10.1371/journal.pcbi.1002665
PMID:22956900
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3431292/
Abstract

Quantitatively predicting changes in drug sensitivity associated with residue mutations is a major challenge in structural biology. By expanding the limits of free energy calculations, we successfully identified mutations in influenza neuraminidase (NA) that confer drug resistance to two antiviral drugs, zanamivir and oseltamivir. We augmented molecular dynamics (MD) with Hamiltonian Replica Exchange and calculated binding free energy changes for H274Y, N294S, and Y252H mutants. Based on experimental data, our calculations achieved high accuracy and precision compared with results from established computational methods. Analysis of 15 micros of aggregated MD trajectories provided insights into the molecular mechanisms underlying drug resistance that are at odds with current interpretations of the crystallographic data. Contrary to the notion that resistance is caused by mutant-induced changes in hydrophobicity of the binding pocket, our simulations showed that drug resistance mutations in NA led to subtle rearrangements in the protein structure and its dynamics that together alter the active-site electrostatic environment and modulate inhibitor binding. Importantly, different mutations confer resistance through different conformational changes, suggesting that a generalized mechanism for NA drug resistance is unlikely.

摘要

定量预测与残基突变相关的药物敏感性变化是结构生物学中的一个主要挑战。通过扩展自由能计算的限制,我们成功鉴定了流感神经氨酸酶 (NA) 中的突变,这些突变使两种抗病毒药物扎那米韦和奥司他韦产生耐药性。我们通过哈密顿复制交换扩展了分子动力学 (MD),并计算了 H274Y、N294S 和 Y252H 突变体的结合自由能变化。基于实验数据,与现有的计算方法相比,我们的计算结果具有较高的准确性和精度。对 15 微秒的聚集 MD 轨迹的分析提供了对耐药性分子机制的深入了解,这与当前对晶体学数据的解释不一致。与耐药性是由结合口袋中突变诱导的疏水性变化引起的观点相反,我们的模拟表明,NA 中的耐药性突变导致了蛋白质结构及其动力学的微妙重排,这些重排共同改变了活性位点的静电环境并调节抑制剂结合。重要的是,不同的突变通过不同的构象变化产生耐药性,这表明 NA 耐药性不太可能存在普遍的机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5c/3431292/3af369713cae/pcbi.1002665.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5c/3431292/c5227710fbab/pcbi.1002665.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5c/3431292/d2f49ba2cbdb/pcbi.1002665.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5c/3431292/95dbd1f404ec/pcbi.1002665.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5c/3431292/8d1c80e024e1/pcbi.1002665.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5c/3431292/3af369713cae/pcbi.1002665.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5c/3431292/c5227710fbab/pcbi.1002665.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5c/3431292/d2f49ba2cbdb/pcbi.1002665.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5c/3431292/95dbd1f404ec/pcbi.1002665.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5c/3431292/8d1c80e024e1/pcbi.1002665.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5c/3431292/3af369713cae/pcbi.1002665.g005.jpg

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