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Advanced Research in Molecular Modeling of Protein Structure and Functions

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

Deadline for manuscript submissions: 20 June 2024 | Viewed by 635

Special Issue Editor


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Guest Editor
1. Department of Chemistry, Lomonosov Moscow State University, Moscow, Russia
2. Bach Institute of Biochemistry, Federal Research Centre “Fundamentals of Biotechnology” of the Russian Academy of Sciences, Moscow, Russia
Interests: molecular modeling; computational and quantum chemistry; enzymatic reactions; photochemistry; QM/MM
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent developments in computer technologies and methods have made molecular modeling a powerful tool for studying processes in huge systems including biomolecular ones. GPU-accelerated molecular dynamics can operate with simulation times of microseconds that allows rare processes to be tracked. Quantum chemical calculations on both CPU and GPU can now deal with the systems of hundreds of atoms and 1000–2000 basis functions. This gives the opportunity to deepen the understanding of the reaction mechanisms in the active sites of enzymes and photoreceptor proteins as well as large conformational rearrangements of protein structures and the formation of protein complexes with low molecular weight inhibitors or macromolecular compounds. This Special Issue covers both topics related to the development of molecular modeling methods and their applications to biomolecular systems. We mostly focus on molecular dynamics and QM/MM, but related studies are also highly encouraged.

Dr. Maria Khrenova
Guest Editor

Manuscript Submission Information

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Keywords

  • molecular modeling
  • QM/MM
  • molecular dynamics
  • DFT
  • enzymatic reactions
  • photoreceptor proteins
  • fluorescent proteins
  • substrate specificity
  • inhibition

Published Papers (1 paper)

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Review

25 pages, 6813 KiB  
Review
The Three-Dimensional Reference Interaction Site Model Approach as a Promising Tool for Studying Hydrated Viruses and Their Complexes with Ligands
by Marina V. Fedotova and Gennady N. Chuev
Int. J. Mol. Sci. 2024, 25(7), 3697; https://0-doi-org.brum.beds.ac.uk/10.3390/ijms25073697 - 26 Mar 2024
Viewed by 445
Abstract
Viruses are the most numerous biological form living in any ecosystem. Viral diseases affect not only people but also representatives of fauna and flora. The latest pandemic has shown how important it is for the scientific community to respond quickly to the challenge, [...] Read more.
Viruses are the most numerous biological form living in any ecosystem. Viral diseases affect not only people but also representatives of fauna and flora. The latest pandemic has shown how important it is for the scientific community to respond quickly to the challenge, including critically assessing the viral threat and developing appropriate measures to counter this threat. Scientists around the world are making enormous efforts to solve these problems. In silico methods, which allow quite rapid obtention of, in many cases, accurate information in this field, are effective tools for the description of various aspects of virus activity, including virus–host cell interactions, and, thus, can provide a molecular insight into the mechanism of virus functioning. The three-dimensional reference interaction site model (3D-RISM) seems to be one of the most effective and inexpensive methods to compute hydrated viruses, since the method allows us to provide efficient calculations of hydrated viruses, remaining all molecular details of the liquid environment and virus structure. The pandemic challenge has resulted in a fast increase in the number of 3D-RISM calculations devoted to hydrated viruses. To provide readers with a summary of this literature, we present a systematic overview of the 3D-RISM calculations, covering the period since 2010. We discuss various biophysical aspects of the 3D-RISM results and demonstrate capabilities, limitations, achievements, and prospects of the method using examples of viruses such as influenza, hepatitis, and SARS-CoV-2 viruses. Full article
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