StreaMD: the toolkit for high-throughput molecular dynamics simulations

被引:0
|
作者
Ivanova, Aleksandra [1 ]
Mokshyna, Olena [1 ,2 ]
Polishchuk, Pavel [1 ]
机构
[1] Palacky Univ, Inst Mol & Translat Med, Fac Med & Dent, Hnevotinska 5, Olomouc 77900, Czech Republic
[2] Czech Acad Sci, Inst Organ Chem & Biochem, Flemingovo Namesti 542-2, Prague 6, Czech Republic
来源
JOURNAL OF CHEMINFORMATICS | 2024年 / 16卷 / 01期
关键词
Molecular dynamics; High-throughput molecular dynamics; Distributed simulations; GROMACS; SOFTWARE NEWS;
D O I
10.1186/s13321-024-00918-w
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Molecular dynamics simulations serve as a prevalent approach for investigating the dynamic behaviour of proteins and protein-ligand complexes. Due to its versatility and speed, GROMACS stands out as a commonly utilized software platform for executing molecular dynamics simulations. However, its effective utilization requires substantial expertise in configuring, executing, and interpreting molecular dynamics trajectories. Existing automation tools are constrained in their capability to conduct simulations for large sets of compounds with minimal user intervention, or in their ability to distribute simulations across multiple servers. To address these challenges, we developed a Python-based tool that streamlines all phases of molecular dynamics simulations, encompassing preparation, execution, and analysis. This tool minimizes the required knowledge for users engaging in molecular dynamics simulations and can efficiently operate across multiple servers within a network or a cluster. Notably, the tool not only automates trajectory simulation but also facilitates the computation of free binding energies for protein-ligand complexes and generates interaction fingerprints across the trajectory. Our study demonstrated the applicability of this tool on several benchmark datasets. Additionally, we provided recommendations for end-users to effectively utilize the tool.Scientific contributionThe developed tool, StreaMD, is applicable to different systems (proteins, ligands and their complexes including co-factors) and requires a little user knowledge to setup and run molecular dynamics simulations. Other features of StreaMD are seamless integration with calculation of MM-GBSA/PBSA binding free energies and protein-ligand interaction fingerprints, and running of simulations within distributed environments. All these will facilitate routine and massive molecular dynamics simulations.
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页数:13
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