Accelerated Molecular Dynamics for Peptide Folding: Benchmarking Different Combinations of Force Fields and Explicit Solvent Models

被引:6
作者
Coppa, Crescenzo [1 ]
Bazzoli, Andrea [1 ]
Barkhordari, Maral [1 ]
Contini, Alessandro [1 ]
机构
[1] Univ Milan, Dipartimento Sci Farmaceut, Sez Chim Gen & Organ Alessandro Marchesini, I-20133 Milan, Italy
关键词
SECONDARY-STRUCTURE; BETA-HAIRPIN; SIDE-CHAIN; SIMULATIONS; PROTEINS; SYSTEMS;
D O I
10.1021/acs.jcim.3c00138
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Accelerated molecular dynamics (aMD) protocols were assessed on predicting the secondary structure of eight peptides, of which two are helical, three are fi-hairpins, and three are disordered. Protocols consisted of combinations of three force fields (ff99SB, ff14SB, ff19SB) and two explicit solvation models (TIP3P and OPC), and were evaluated in two independent aMD simulations, one starting from an extended conformation, the other starting from a misfolded conformation. The results of these analyses indicate that all three combinations performed well on helical peptides. As for fi-hairpins, ff19SB performed well with both solvation methods, with a slight preference for the TIP3P solvation model, even though performance was dependent on both peptide sequence and initial conformation. The ff19SB/OPC combination had the best performance on intrinsically disordered peptides. In general, ff14SB/TIP3P suffered the strongest helical bias.
引用
收藏
页码:3030 / 3042
页数:13
相关论文
共 66 条
  • [41] Computational design of novel protein-protein interactions - An overview on methodological approaches and applications
    Marchand, Anthony
    Van Hall-Beauvais, Alexandra K.
    Correia, Bruno E.
    [J]. CURRENT OPINION IN STRUCTURAL BIOLOGY, 2022, 74
  • [42] Improved Reweighting of Accelerated Molecular Dynamics Simulations for Free Energy Calculation
    Miao, Yinglong
    Sinko, William
    Pierce, Levi
    Bucher, Denis
    Walker, Ross C.
    McCammon, J. Andrew
    [J]. JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2014, 10 (07) : 2677 - 2689
  • [43] SESCA: Predicting Circular Dichroism Spectra from Protein Molecular Structures
    Nagy, Gabor
    Igaev, Maxim
    Jones, Nykola C.
    Hoffmann, Soren V.
    Grubmueller, Helmut
    [J]. JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2019, 15 (09) : 5087 - 5102
  • [44] Systematic evaluation of computational tools to predict the effects of mutations on protein stability in the absence of experimental structures
    Pan, Qisheng
    Nguyen, Thanh Binh
    Ascher, David B.
    Pires, Douglas E., V
    [J]. BRIEFINGS IN BIOINFORMATICS, 2022, 23 (02)
  • [45] The road to the synthesis of "difficult peptides"
    Paradis-Bas, Marta
    Tulla-Puche, Judit
    Albericio, Fernando
    [J]. CHEMICAL SOCIETY REVIEWS, 2016, 45 (03) : 631 - 654
  • [46] Protein-protein interactions: detection, reliability assessment and applications
    Peng, Xiaoqing
    Wang, Jianxin
    Peng, Wei
    Wu, Fang-Xiang
    Pan, Yi
    [J]. BRIEFINGS IN BIOINFORMATICS, 2017, 18 (05) : 798 - 819
  • [47] Routine Access to Millisecond Time Scale Events with Accelerated Molecular Dynamics
    Pierce, Levi C. T.
    Salomon-Ferrer, Romelia
    de Oliveira, Cesar Augusto F.
    McCammon, J. Andrew
    Walker, Ross C.
    [J]. JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2012, 8 (09) : 2997 - 3002
  • [48] Qi RX, 2018, METHODS MOL BIOL, V1777, P101, DOI 10.1007/978-1-4939-7811-3_5
  • [49] Comparison and Evaluation of Force Fields for Intrinsically Disordered Proteins
    Rahman, Mueed Ur
    Rehman, Ashfaq Ur
    Liu, Hao
    Chen, Hai-Feng
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2020, 60 (10) : 4912 - 4923
  • [50] Rao V Srinivasa, 2014, Int J Proteomics, V2014, P147648, DOI 10.1155/2014/147648