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New Sights in Molecular Dynamics Simulations

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Physical Chemistry".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 1458

Special Issue Editor


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Guest Editor
Dipartimento di Fisica e Chimica "E. Segrè", Università degli Studi di Palermo, Palermo, Italy
Interests: deep eutectic solvents; Ionic liquids; drug protein interaction; molecular dynamics; neutron scattering; x-rays scattering; cultural heritage

Special Issue Information

Dear Colleagues,

This Special Issue will focus on molecular dynamics and its wide range of applications while attempting to shed some light on recent developments in the field. Since Alder and Wainwright’s 1957 work, which is considered to be the first paper on the subject, this simulation tool has expanded in different and continuously overlapping directions in chemistry, physics, biology, and engineering. There has been exponential growth in the number of publications on this topic in the last four decades, and we have witnessed several breakthroughs that are strongly interrelated with one another; the development of algorithms and models, the improvement of high-performance computation architectures, the increasing accuracy at different length scales, and the availability of analyzing tools, along with their broad access, have driven such process. Here, we will explore recent advances in various topics covering the technical aspects such as the computational engine optimization, force field development, analysis routines, and visualization software. This Special Issue will highlight the major achievements in structural biology, biomaterials, drug design-aiding tools, kinetic and transitional pathways, machine learning and metadynamics applied to ligand binding processes, the structure and dynamics of complex fluids, the dynamics of slow evolving systems, polymer and polymer solutions, and the self-assembly of macromolecules. Contributions related to the latter subjects will be also characterized based on their strong connection with their experimental results.

Dr. Fabrizio Lo Celso
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). 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

  • structural biology
  • biomaterials
  • drug design
  • kinetic and transition pathway
  • machine learning
  • metadynamics
  • complex fluids

Published Papers (1 paper)

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Research

12 pages, 3331 KiB  
Article
Inspection on the Mechanism of SARS-CoV-2 Inhibition by Penciclovir: A Molecular Dynamic Study
by Micaela Giannetti, Claudia Mazzuca, Giorgio Ripani and Antonio Palleschi
Molecules 2023, 28(1), 191; https://doi.org/10.3390/molecules28010191 - 26 Dec 2022
Cited by 3 | Viewed by 1163
Abstract
In recent years, humanity has had to face a critical pandemic due to SARS-CoV-2. In the rapid search for effective drugs against this RNA-positive virus, the repurposing of already existing nucleotide/nucleoside analogs able to stop RNA replication by inhibiting the RNA-dependent RNA polymerase [...] Read more.
In recent years, humanity has had to face a critical pandemic due to SARS-CoV-2. In the rapid search for effective drugs against this RNA-positive virus, the repurposing of already existing nucleotide/nucleoside analogs able to stop RNA replication by inhibiting the RNA-dependent RNA polymerase enzyme has been evaluated. In this process, a valid contribution has been the use of in silico experiments, which allow for a rapid evaluation of the possible effectiveness of the proposed drugs. Here we propose a molecular dynamic study to provide insight into the inhibition mechanism of Penciclovir, a nucleotide analog on the RNA-dependent RNA polymerase enzyme. Besides the presented results, in this article, for the first time, molecular dynamic simulations have been performed considering not only the RNA-dependent RNA polymerase protein, but also its cofactors (fundamental for RNA replication) and double-strand RNA. Full article
(This article belongs to the Special Issue New Sights in Molecular Dynamics Simulations)
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