1
|
Huang YP, Xia Y, Yang L, Gao YQ. PMC-IZ: A Simple Algorithm for the Electrostatics Calculation in Slab Geometric Molecular Dynamics Simulations. J Chem Theory Comput 2024; 20:832-841. [PMID: 38196086 DOI: 10.1021/acs.jctc.3c01124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Slab geometric systems are widely utilized in molecular simulations. However, an efficient, straightforward, and accurate method for calculating electrostatic interactions in these systems for molecular dynamics (MD) simulations is still needed. This review introduces a PME-like approach called PMC-IZ, specifically designed for slab geometric systems. Traditional approaches for long-range electrostatic interaction calculations in slab geometry typically involve Ewald summation, where the Gaussian charge density is summed within 3D unit cells and then integrated in the 2D periodic space. In the proposed approach here, the Poisson equation was solved for a single Gaussian charge density within 2Dl periodic space, followed by convolution within 3D unit cells using an effective potential as the convolution kernel for summation. The effective potential ensures that the solution within the region of interest adheres strictly to 2D periodic boundary conditions while inherently possessing 3D periodic boundary condition properties. The PMC-IZ method provides for such systems accurate treatment of electrostatic interactions, overcomes limitations associated with finite vacuum layers, and offers improved computational efficiency. We thus postulate that this method provides a valuable tool for studying electrostatic interactions in slab geometric system MD simulations. It has promising applications in various areas such as surface science, catalysis, and materials research, where accurate modeling of slab geometric electrostatic interactions is essential.
Collapse
Affiliation(s)
- Yu-Peng Huang
- College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
- Beijing National Laboratory for Molecular Sciences, Peking University, Beijing 100871, China
- Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China
| | - Yijie Xia
- College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
- Beijing National Laboratory for Molecular Sciences, Peking University, Beijing 100871, China
- Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China
| | - Lijiang Yang
- College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
- Beijing National Laboratory for Molecular Sciences, Peking University, Beijing 100871, China
- Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China
| | - Yi Qin Gao
- College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
- Beijing National Laboratory for Molecular Sciences, Peking University, Beijing 100871, China
- Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China
| |
Collapse
|
2
|
Karthika A, Ramachandran B, Chitra J, Prabhu D, Rajamanikandan S, Veerapandiyan M, Jeyakanthan J. Molecular dynamics simulation of Toxin-Antitoxin (TA) system in Acinetobacter baumannii to explore the novel mechanism for inhibition of cell wall biosynthesis: Zeta Toxin as an effective therapeutic target. J Cell Biochem 2021; 122:1832-1847. [PMID: 34448250 DOI: 10.1002/jcb.30137] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 08/08/2021] [Accepted: 08/10/2021] [Indexed: 01/15/2023]
Abstract
The majority of bacteria and archaea contains Toxin-Antitoxin system (TA) that codes for the stable Toxin and unstable Antitoxin components forming a complex. The Antitoxin inhibits the catalytic activities of the Toxin. In general, the Antitoxin will be degraded by the proteases leading to the Toxin activation that subsequently targets essential cellular processes, including transcription, translation, replication, cell division, and cell wall biosynthesis. The Zeta Toxin-Epsilon Antitoxin system in ESKAPE pathogen stabilizes the resistance plasmid and promotes pathogenicity. The known TA system in Acinetobacter baumannii are known to be involved in the replication and translation, however, the mechanism of Zeta Toxin-Epsilon Antitoxin in cell wall biosynthesis remains unknown. In the present study, molecular docking and molecular dynamic (MD) simulations were employed to demonstrate whether Zeta Toxin can impair cell wall synthesis in A. baumannii. Further, the degradation mechanism of Antitoxin in the presence and absence of adenosine triphosphate (ATP) molecules are explained through MD simulation. The result reveals that the cleavage of Antitoxin could be possible with the presence of ATP by displaying its response from 20 ns, whereas the Zeta Toxin/Epsilon was unstable after 90 ns. The obtained results demonstrate that Zeta Toxin is "temporarily favorable" for ATP to undergo phosphorylation at UNAG kinase through the substrate tunneling process. The study further evidenced that phosphorylated UNAG prevents the binding of MurA, the enzyme that catalyzes the initial step of bacterial peptidoglycan biosynthesis. Therefore, the present study explores the binding mechanism of Zeta Toxin/Epsilon Antitoxin, which could be beneficial for preventing cell wall biosynthesis as well as for unveiling the alternative treatment options to antibiotics.
Collapse
Affiliation(s)
- Alagesan Karthika
- Structural Biology and Bio-Computing Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India
| | - Balajee Ramachandran
- Structural Biology and Bio-Computing Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India
| | - Jeyarajpandian Chitra
- Department of Biotechnology, Dr. Umayal Ramanathan College for Women, Karaikudi, Tamil Nadu, India
| | - Dhamodharan Prabhu
- Structural Biology and Bio-Computing Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India
| | - Sundaraj Rajamanikandan
- Structural Biology and Bio-Computing Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India
| | - Malaisamy Veerapandiyan
- Structural Biology and Bio-Computing Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India
| | - Jeyaraman Jeyakanthan
- Structural Biology and Bio-Computing Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India
| |
Collapse
|