He Xibing, Man Viet Hoang, Gao Jie, Wang Junmei
Department of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.
Department of Neuroscience, The Ohio State University Wexner Medical Center, Columbus, Ohio 43210, United States.
J Chem Inf Model. 2024 Dec 9;64(23):8880-8891. doi: 10.1021/acs.jcim.4c01448. Epub 2024 Nov 23.
To propose new mechanism-based therapeutics for Alzheimer's disease (AD), it is crucial to study the kinetics and oligomerization/aggregation mechanisms of the hallmark tau proteins, which have various isoforms and are intrinsically disordered. In this study, multiple all-atom (AA) and coarse-grained (CG) force fields (FFs) have been benchmarked on molecular dynamics (MD) simulations of K18 tau (M243-E372), which is a truncated form (130 residues) of full-length tau (441 residues). FF19SB is first excluded because the dynamics are too slow, and the conformations are too stable. All other benchmarked AAFFs (Charmm36m, FF14SB, Gromos54A7, and OPLS-AA) and CGFFs (Martini3 and Sirah2.0) exhibit a trend of shrinking K18 tau into compact structures with the radius of gyration (ROG) around 2.0 nm, which is much smaller than the experimental value of 3.8 nm, within 200 ns of AA-MD or 2000 ns of CG-MD. Gromos54A7, OPLS-AA, and Martini3 shrink much faster than the other FFs. To perform meaningful postanalysis of various properties, we propose a strategy of selecting snapshots with 2.5 < ROG < 4.5 nm, instead of using all sampled snapshots. The calculated chemical shifts of all C, CA, and CB atoms have very good and close root-mean-square error (RMSE) values, while Charmm36m and Sirah2.0 exhibit better chemical shifts of N than other FFs. Comparing the calculated distributions of the distance between the CA atoms of CYS291 and CYS322 with the results of the FRET experiment demonstrates that Charmm36m is a perfect match with the experiment while other FFs exhibit limitations. In summary, Charmm36m is recommended as the best AAFF, and Sirah2.0 is recommended as an excellent CGFF for simulating tau K18.
为了提出基于新机制的阿尔茨海默病(AD)治疗方法,研究标志性tau蛋白的动力学以及寡聚化/聚集机制至关重要,tau蛋白具有多种异构体且本质上是无序的。在本研究中,针对K18 tau(M243 - E372)的分子动力学(MD)模拟对多个全原子(AA)和粗粒度(CG)力场(FFs)进行了基准测试,K18 tau是全长tau(441个残基)的截短形式(130个残基)。首先排除FF19SB,因为其动力学太慢且构象过于稳定。所有其他经过基准测试的AAFFs(Charmm36m、FF14SB、Gromos54A7和OPLS - AA)以及CGFFs(Martini3和Sirah2.0)在AA - MD的200 ns或CG - MD的2000 ns内均呈现出将K18 tau收缩为回转半径(ROG)约为2.0 nm的紧凑结构的趋势,这远小于3.8 nm的实验值。Gromos54A7、OPLS - AA和Martini3收缩得比其他力场快得多。为了对各种性质进行有意义的后分析,我们提出了一种选择ROG在2.5 < ROG < 4.5 nm之间的快照的策略,而不是使用所有采样的快照。所有C、CA和CB原子的计算化学位移具有非常好且相近的均方根误差(RMSE)值,而Charmm36m和Sirah2.0的N化学位移比其他力场表现更好。将CYS291和CYS322的CA原子之间距离的计算分布与FRET实验结果进行比较表明,Charmm36m与实验完美匹配,而其他力场存在局限性。总之,推荐Charmm36m作为模拟tau K18的最佳AAFF,推荐Sirah2.0作为优秀的CGFF。