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Molecular Dynamics Simulations of Protein Structures

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: 30 July 2025 | Viewed by 327

Special Issue Editor


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Guest Editor
Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Via Aldo Moro, 2, 53100 Siena, Italy
Interests: biochemistry; circular bioeconomy; rare diseases; system biology; bioinformatics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The International Journal of Molecular Sciences can announce a Special Issue dedicated to advancing the frontiers of molecular dynamics simulations in protein structure research. This Special Issue will highlight cutting-edge methodologies and breakthrough insights that are transforming our understanding of protein dynamics at an atomic level.

Recent advancements in bioinformatics and computational approaches have revolutionized structural biology, providing unprecedented precision in modeling protein behavior. Molecular dynamics simulations have emerged as a powerful tool, enabling highly accurate predictions for drug discovery, target identification, and the rational design of novel therapeutic strategies.

Additionally, these simulations are proving instrumental in elucidating protein folding mechanisms, conformational stability, and misfolding-related disorders, further expanding their impact across multiple scientific disciplines.

As the Guest Editor of this Special Issue, I invite researchers to contribute original research articles, reviews, mini-reviews, and perspective papers that showcase pioneering computational methodologies, innovative simulation techniques, and novel theoretical frameworks to deepen our understanding of protein structure, folding, and function.

Areas of interest could include, but are not limited to, the following:

  • Molecular dynamics simulations of protein structures;
  • Advancements in computational methods for protein analysis;
  • Drug discovery and target identification through molecular simulations;
  • Machine learning and AI for protein folding and stability studies;
  • Hybrid methods combining experimental and computational techniques;
  • Enhanced sampling techniques in molecular dynamics.

Dr. Alfonso Trezza
Guest Editor

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.

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Keywords

  • molecular dynamics simulations
  • protein structure analysis
  • computational methods in structural biology
  • bioinformatics and drug discovery
  • protein–ligand interactions

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Published Papers (1 paper)

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Research

13 pages, 5938 KiB  
Article
Profiling of Protein-Coding Missense Mutations in Mendelian Rare Diseases: Clues from Structural Bioinformatics
by Anna Visibelli, Rebecca Finetti, Piero Niccolai, Alfonso Trezza, Ottavia Spiga, Annalisa Santucci and Neri Niccolai
Int. J. Mol. Sci. 2025, 26(9), 4072; https://doi.org/10.3390/ijms26094072 - 25 Apr 2025
Viewed by 222
Abstract
The growing availability of protein structural data from experimental methods and accurate predictive models provides the opportunity to investigate the molecular origins of rare diseases (RDs) reviewed in the Orpha.net database. In this study, we analyzed the topology of 5728 missense mutation sites [...] Read more.
The growing availability of protein structural data from experimental methods and accurate predictive models provides the opportunity to investigate the molecular origins of rare diseases (RDs) reviewed in the Orpha.net database. In this study, we analyzed the topology of 5728 missense mutation sites involved in Mendelian RDs (MRDs), forming the basis of our structural bioinformatics investigation. Each mutation site was characterized by side-chain position within the overall 3D protein structure and side-chain orientation. Atom depth quantitation, achieved by using SADIC v2.0, allowed the classification of all the mutation sites listed in our database. Particular attention was given to mutations where smaller amino acids replaced bulky, outward-oriented residues in the outer structural layers. Our findings reveal that structural features that could lead to the formation of void spaces in the outer protein region are very frequent. Notably, we identified 722 cases where MRD-associated mutations could generate new surface pockets with the potential to accommodate pharmaceutical ligands. Molecular dynamics (MD) simulations further supported the prevalence of cryptic pocket formation in a subset of drug-binding protein candidates, underscoring their potential for structure-based drug discovery in RDs. Full article
(This article belongs to the Special Issue Molecular Dynamics Simulations of Protein Structures)
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