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Editorial Board Members’ Collection Series: “Molecular Dynamics”

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Biophysics".

Deadline for manuscript submissions: 20 April 2026 | Viewed by 9869

Special Issue Editors


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Guest Editor
Department of Chemistry & Biochemistry, Benton Hall 221, University of Missouri-St. Louis, One University Blvd., St. Louis, MO 63121, USA
Interests: antiviral strategies; DNA-binding molecules; DNA-binding polyamides; small DNA tumor viruses; negative strand RNA viruses; HPV; bioorganic; biomimetic; organic chemistry; NextGen sequencing; green chemistry; biochemistry; biophysical; synthetic; analytical chemistry; bioinorganic chemistry

Special Issue Information

Dear Colleagues,

The molecular dynamics simulation of macromolecule motion enables the computational study of proteins, carbohydrates, nucleic acids, lipids, solvents, ions, and metabolites at temporal and spatial scales, which is not accessible by other methods.

In addition, computational drug design relies on knowing the active sites or allosteric sites of enzymes to find chemical compounds that can stably bind to the amino acids present in them, thus inhibiting or modulating their activity.

The present collection will comprise contributions that discuss the following topics related to the computational simulation of macromolecules (though this list is not exhaustive):

  • Quantum Mechanics;
  • Classical mechanics;
  • Hybrid QM/MM;
  • Molecular dynamics at the atomic level;
  • Steered molecular dynamics;
  • Coarse-graining;
  • Docking(Protein–protein, protein–ligand);
  • The molecular dynamics of protein–ligand interactions;
  • Drug design;
  • Virtual screening.

Manuscripts in which computational simulation is used to propose physically realistic and novel models of biological processes, as well as their potential for use in the study of disease, are welcome.

Dr. Paulino Gómez-Puertas
Prof. Dr. James K. Bashkin
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • quantum mechanics
  • classical mechanics
  • hybrid QM/MM
  • molecular dynamics at the atomic level
  • steered molecular dynamics
  • coarse-graining
  • docking(protein–protein, protein–ligand)
  • the molecular dynamics of protein–ligand interactions
  • drug design
  • virtual screening

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Published Papers (4 papers)

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Research

24 pages, 7331 KB  
Article
Coarse-Grained Molecular Dynamics Simulations of Lipid Nanodroplets and Endosomal Membranes: Focusing on the Fusion Mechanisms
by Yeon Ju Go, Erkhembayar Jadamba and Hyunjin Shin
Int. J. Mol. Sci. 2025, 26(24), 11960; https://doi.org/10.3390/ijms262411960 - 11 Dec 2025
Viewed by 1246
Abstract
Lipid nanoparticles (LNPs) have received significant attention as effective RNA carriers in RNA-based therapeutics and vaccines. Particularly, ionizable lipids (ILs) of LNPs play a crucial role in endosomal escape and lipid-mediated RNA delivery owing to their pH-dependent molecular characteristics. Therefore, it is essential [...] Read more.
Lipid nanoparticles (LNPs) have received significant attention as effective RNA carriers in RNA-based therapeutics and vaccines. Particularly, ionizable lipids (ILs) of LNPs play a crucial role in endosomal escape and lipid-mediated RNA delivery owing to their pH-dependent molecular characteristics. Therefore, it is essential to enhance the endosomal escape efficiency of ILs, which is primary bottleneck in the successful cytoplasmic delivery of RNA. However, the molecular-level understanding of the roles and dynamics of ILs during the endosomal escape stage remains unclear. To elucidate this, we utilized coarse-grained (CG) molecular dynamics (MD) simulations. In this simulation, we designed lipid nanodroplets (LNDs) containing D-Lin-MC3-DMA (MC3) and ALC-0315, which have proven effective as LNPs in RNA-based therapeutics and vaccines, respectively, while accounting for the pH environments of early and late endosomes. Also, we formulated lipid bilayers reflecting the composition of early and late endosomal membranes to investigate the fusion process between LNDs and endosomal membranes. Our findings reveal that, irrespective of endosomal membrane composition and LNP types, ILs are the first lipids to enter the endosomal membrane during the fusion, and the flip-flop process of ILs from the inner leaflet to the outer leaflet of the endosomal membrane is a critical step for LNP endosomal escape. More specifically, we observed that protonated ILs predominantly participate in the flip-flop process, while many deprotonated ILs remain clustered and disordered within the intermediate layer of the endosomal membrane. Furthermore, we found that the extent of IL flip-flop varies with the cholesterol content of the endosomal membrane. Additionally, under identical pH conditions, MC3-containing LNDs exhibited a more active IL flip-flop process toward the outer leaflet than ALC-0315-containing LNDs. This observation supports experimental findings that MC3-containing LNPs manifest higher endosomal escape efficiency than ALC-0315-containing LNPs in mRNA delivery studies. The mechanistic insights into the endosomal escape mechanism demonstrated by our simulations could aid in the development of effective ILs. Full article
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11 pages, 2330 KB  
Communication
Self-Guided Molecular Simulation to Enhance Concerted Motion
by Xiongwu Wu and Bernard R. Brooks
Int. J. Mol. Sci. 2025, 26(5), 1969; https://doi.org/10.3390/ijms26051969 - 25 Feb 2025
Cited by 1 | Viewed by 797
Abstract
Self-guided (SG) molecular simulation methods, namely self-guided molecular dynamics (SGMD) and self-guided Langevin dynamics (SGLD), enhance conformational search by promoting low-frequency motion. A simple local time averaging scheme is used to extract low-frequency properties with little overhead in computing costs. For molecular processes [...] Read more.
Self-guided (SG) molecular simulation methods, namely self-guided molecular dynamics (SGMD) and self-guided Langevin dynamics (SGLD), enhance conformational search by promoting low-frequency motion. A simple local time averaging scheme is used to extract low-frequency properties with little overhead in computing costs. For molecular processes to form ordered structures like ligand binding and protein folding, it is believed that concerted motions play crucial roles. To enhance the concerted motion in molecular systems, we propose a spatial averaging scheme to extract the concerted motion of a local region. Applying guiding forces based on spatial averaging, self-guided molecular simulations can enhance concerted motion and reach ordered structures more efficiently. Through simulations of amyloid fibril peptides, we demonstrated that the spatial averaging in self-guided Langevin dynamics results in accelerated β-sheet formation. Full article
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10 pages, 1538 KB  
Communication
Estimating Binding Energies of π-Stacked Aromatic Dimers Using Force Field-Driven Molecular Dynamics
by Daniel Doveiko, Karina Kubiak-Ossowska and Yu Chen
Int. J. Mol. Sci. 2024, 25(11), 5783; https://doi.org/10.3390/ijms25115783 - 26 May 2024
Cited by 6 | Viewed by 3416
Abstract
π–π stacking are omnipresent interactions, crucial in many areas of chemistry, and often studied using quantum chemical methods. Here, we report a simple and computationally efficient method of estimating the binding energies of stacked polycyclic aromatic hydrocarbons based on steered molecular dynamics. This [...] Read more.
π–π stacking are omnipresent interactions, crucial in many areas of chemistry, and often studied using quantum chemical methods. Here, we report a simple and computationally efficient method of estimating the binding energies of stacked polycyclic aromatic hydrocarbons based on steered molecular dynamics. This method leverages the force field parameters for accurate calculation. The presented results show good agreement with those obtained through DFT at the ωB97X-D3/cc-pVQZ level of theory. It is demonstrated that this force field-driven SMD method can be applied to other aromatic molecules, allowing insight into the complexity of the stacking interactions and, more importantly, reporting π–π stacking energy values with reasonable precision. Full article
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17 pages, 10262 KB  
Article
STAG2: Computational Analysis of Missense Variants Involved in Disease
by David Ros-Pardo, Paulino Gómez-Puertas and Íñigo Marcos-Alcalde
Int. J. Mol. Sci. 2024, 25(2), 1280; https://doi.org/10.3390/ijms25021280 - 20 Jan 2024
Cited by 9 | Viewed by 3136
Abstract
The human STAG2 protein is an essential component of the cohesin complex involved in cellular processes of gene expression, DNA repair, and genomic integrity. Somatic mutations in the STAG2 sequence have been associated with various types of cancer, while congenital variants have been [...] Read more.
The human STAG2 protein is an essential component of the cohesin complex involved in cellular processes of gene expression, DNA repair, and genomic integrity. Somatic mutations in the STAG2 sequence have been associated with various types of cancer, while congenital variants have been linked to developmental disorders such as Mullegama–Klein–Martinez syndrome, X-linked holoprosencephaly-13, and Cornelia de Lange syndrome. In the cohesin complex, the direct interaction of STAG2 with DNA and with NIPBL, RAD21, and CTCF proteins has been described. The function of STAG2 within the complex is still unknown, but it is related to its DNA binding capacity and is modulated by its binding to the other three proteins. Every missense variant described for STAG2 is located in regions involved in one of these interactions. In the present work, we model the structure of 12 missense variants described for STAG2, as well as two other variants of NIPBl and two of RAD21 located at STAG2 interaction zone, and then analyze their behavior through molecular dynamic simulations, comparing them with the same simulation of the wild-type protein. This will allow the effects of variants to be rationalized at the atomic level and provide clues as to how STAG2 functions in the cohesin complex. Full article
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