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本文引用的文献

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Approaching protein design with multisite λ dynamics: Accurate and scalable mutational folding free energies in T4 lysozyme.采用多态 λ 动力学方法进行蛋白质设计:T4 溶菌酶中准确且可扩展的突变折叠自由能。
Protein Sci. 2018 Nov;27(11):1910-1922. doi: 10.1002/pro.3500.
2
Predicting Binding Free Energies in a Large Combinatorial Chemical Space Using Multisite λ Dynamics.使用多位点λ动力学预测大型组合化学空间中的结合自由能
J Phys Chem Lett. 2018 Jun 21;9(12):3328-3332. doi: 10.1021/acs.jpclett.8b01284. Epub 2018 Jun 6.
3
Relative Binding Free Energy Calculations in Drug Discovery: Recent Advances and Practical Considerations.药物发现中的相对结合自由能计算:最新进展与实际考虑。
J Chem Inf Model. 2017 Dec 26;57(12):2911-2937. doi: 10.1021/acs.jcim.7b00564. Epub 2017 Dec 15.
4
Free Energy Methods in Drug Design: Prospects of "Alchemical Perturbation" in Medicinal Chemistry.自由能方法在药物设计中的应用:“化学扰动”在药物化学中的前景。
J Med Chem. 2018 Feb 8;61(3):638-649. doi: 10.1021/acs.jmedchem.7b00681. Epub 2017 Aug 4.
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Advancing Drug Discovery through Enhanced Free Energy Calculations.通过增强自由能计算推进药物发现。
Acc Chem Res. 2017 Jul 18;50(7):1625-1632. doi: 10.1021/acs.accounts.7b00083. Epub 2017 Jul 5.
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LigParGen web server: an automatic OPLS-AA parameter generator for organic ligands.LigParGen 网络服务器:一种用于有机配体的自动 OPLS-AA 参数生成器。
Nucleic Acids Res. 2017 Jul 3;45(W1):W331-W336. doi: 10.1093/nar/gkx312.
7
Adaptive Landscape Flattening Accelerates Sampling of Alchemical Space in Multisite λ Dynamics.多位点 λ动力学中适应性景观扁平化加速了化学空间采样。
J Phys Chem B. 2017 Apr 20;121(15):3626-3635. doi: 10.1021/acs.jpcb.6b09656. Epub 2017 Feb 10.
8
Acylguanidine Beta Secretase 1 Inhibitors: A Combined Experimental and Free Energy Perturbation Study.酰基胍β 分泌酶 1 抑制剂:一项实验与自由能微扰联合研究。
J Chem Theory Comput. 2017 Mar 14;13(3):1439-1453. doi: 10.1021/acs.jctc.6b01141. Epub 2017 Feb 3.
9
Accurate Modeling of Scaffold Hopping Transformations in Drug Discovery.准确建模药物发现中的支架跳跃转化。
J Chem Theory Comput. 2017 Jan 10;13(1):42-54. doi: 10.1021/acs.jctc.6b00991. Epub 2016 Dec 9.
10
Application of Free Energy Perturbation for the Design of BACE1 Inhibitors.应用自由能微扰理论设计 BACE1 抑制剂。
J Chem Inf Model. 2016 Sep 26;56(9):1856-71. doi: 10.1021/acs.jcim.6b00220. Epub 2016 Aug 24.

利用多位点λ动力学克服具有挑战性的取代基扰动:以β-分泌酶1为靶点的案例研究

Overcoming Challenging Substituent Perturbations with Multisite λ-Dynamics: A Case Study Targeting β-Secretase 1.

作者信息

Vilseck Jonah Z, Sohail Noor, Hayes Ryan L, Brooks Charles L

出版信息

J Phys Chem Lett. 2019 Sep 5;10(17):4875-4880. doi: 10.1021/acs.jpclett.9b02004. Epub 2019 Aug 13.

DOI:10.1021/acs.jpclett.9b02004
PMID:31386370
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7015761/
Abstract

Alchemical free energy calculations have made a dramatic impact upon the field of structure-based drug design by allowing functional group modifications to be explored computationally prior to experimental synthesis and assay evaluation, thereby informing and directing synthetic strategies. In furthering the advancement of this area, a series of 21 β-secretase 1 (BACE1) inhibitors developed by Janssen Pharmaceuticals were examined to evaluate the ability to explore large substituent perturbations, some of which contain scaffold modifications, with multisite λ-dynamics (MSλD), an innovative alchemical free energy framework. Our findings indicate that MSλD is able to efficiently explore all structurally diverse ligand end-states within a MD simulation with a high degree of precision and with reduced computational costs compared to the widely used approach TI/MBAR. Furthermore, computational predictions were shown to be accurate to within 0.5-0.8 kcal/mol when CM1A partial atomic charges were combined with CHARMM or OPLS-AA-based force fields, demonstrating that MSλD is force field independent and a viable alternative to FEP or TI approaches for drug design.

摘要

炼金术自由能计算通过在实验合成和测定评估之前以计算方式探索官能团修饰,从而为合成策略提供信息并加以指导,对基于结构的药物设计领域产生了巨大影响。为推动该领域的发展,我们研究了杨森制药公司开发的一系列21种β-分泌酶1(BACE1)抑制剂,以评估利用多位点λ动力学(MSλD,一种创新的炼金术自由能框架)探索大取代基扰动的能力,其中一些扰动包含骨架修饰。我们的研究结果表明,与广泛使用的TI/MBAR方法相比,MSλD能够在分子动力学模拟中高效地探索所有结构多样的配体终态,具有高精度且计算成本降低。此外,当CM1A部分原子电荷与基于CHARMM或OPLS-AA的力场相结合时,计算预测结果显示在0.5 - 0.8千卡/摩尔范围内是准确的,这表明MSλD与力场无关,是药物设计中FEP或TI方法的可行替代方案。