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Molecular Insights into Macromolecules Structure, Function, and Regulation: 2nd Edition

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 February 2025 | Viewed by 3589

Special Issue Editor

Special Issue Information

Dear Colleagues,

This Special Issue is the continuation of our Special Issue titled “Molecular Insights into Macromolecules Structure, Function, and Regulation”.

Macromolecules are large molecules, with a diameter ranging from approximately 10 to 1000 nm. Proteins are common macromolecules in living organisms. Protein structures determine function, and the regulation of this structure often affects its function. In this Special Issue, we will focus on the structure, function and regulation of biomolecular proteins.

Nowadays, protein structure prediction/modeling has been routinely applied in drug discovery to increase its effectiveness. It provides essential contributions in successful predictions (e.g., antivirals for COVID-19), leading a battle against the pandemic and understanding the functional complexity of living systems. However, there are two main issues to be solved in order to implement reliable predictions: (i) accurate modeling of the protein structure and “binding pocket”; and (ii) correct incorporation of the intrinsically dynamic behavior of proteins. Moreover, protein structure and function can be altered by mutations, hence understanding the effects of mutations on protein structure and function is important for the prevention of related diseases and the development of therapeutic drugs. A variety of algorithms and strategies have been developed for the ever-improving estimation of structural modeling and drug discovery, accounting for conformational dynamics, including molecular simulation, deep learning, NMR, cryo-electron microscopy and single-molecule fluorescence techniques.

Accordingly, the aim of this Special Issue is to collect a series of state-of-the-art examples of the recent advances in this rapidly changing field, and uncover the ligand–protein/peptide–protein/protein–protein interaction modulations. Papers that explore all aspects are welcome, including current efforts in theoretical developments.

Dr. Zhiwei Yang
Guest Editor

Manuscript Submission Information

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Keywords

  • conformational dynamics
  • structural modeling
  • docking
  • molecular recognition
  • regulation mechanism
  • rational design
  • molecular dynamic simulation

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Published Papers (3 papers)

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Research

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17 pages, 5385 KiB  
Article
Mechanistic Insight into the Enantioselective Degradation of Esterase QeH to (R)/(S)–Quizalofop–Ethyl with Molecular Dynamics Simulation Using a Residue-Specific Force Field
by Yu-Meng Zhu, Gui Yao, Song Shao, Xin-Yu Liu, Jun Xu, Chun Chen, Xing-Wang Zhang, Zhuo-Ran Huang, Cheng-Zhen Xu, Long Zhang and Xiao-Min Wu
Int. J. Mol. Sci. 2024, 25(18), 9964; https://doi.org/10.3390/ijms25189964 - 15 Sep 2024
Viewed by 1190
Abstract
The enantioselective mechanism of the esterase QeH against the two enantiomers of quizalofop–ethyl (QE) has been primitively studied using computational and experimental approaches. However, it is still unclear how the esterase QeH adjusts its conformation to adapt to substrate binding and promote enzym [...] Read more.
The enantioselective mechanism of the esterase QeH against the two enantiomers of quizalofop–ethyl (QE) has been primitively studied using computational and experimental approaches. However, it is still unclear how the esterase QeH adjusts its conformation to adapt to substrate binding and promote enzyme–substrate interactions in the catalytic kinetics. The equilibrium processes of enzyme–substrate interactions and catalytic dynamics were reproduced by performing independent molecular dynamics (MD) runs on the QeH-(R)/(S)-QE complexes with a newly developed residue-specific force field (RSFF2C). Our results indicated that the benzene ring of the (R)-QE structure can simultaneously form anion–π and cation–π interactions with the side-chain group of Glu328 and Arg384 in the binding cavity of the QeH-(R)-QE complex, resulting in (R)-QE being closer to its catalytic triplet system (Ser78-Lys81-Tyr189) with the distances measured for the hydroxyl oxygen atom of the catalytic Ser78 of QeH and the carbonyl carbon atom of (R)-QE of 7.39 Å, compared to the 8.87 Å for (S)-QE, whereas the (S)-QE structure can only form an anion–π interaction with the side chain of Glu328 in the QeH-(S)-QE complex, being less close to its catalytic site. The computational alanine scanning mutation (CAS) calculations further demonstrated that the π–π stacking interaction between the indole ring of Trp351 and the benzene ring of (R)/(S)-QE contributed a lot to the binding stability of the enzyme–substrate (QeH-(R)/(S)-QE). These results facilitate the understanding of their catalytic processes and provide new theoretical guidance for the directional design of other key enzymes for the initial degradation of aryloxyphenoxypropionate (AOPP) herbicides with higher catalytic efficiencies. Full article
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13 pages, 6359 KiB  
Article
The Inhibition Effect of Epigallocatechin-3-Gallate on the Co-Aggregation of Amyloid-β and Human Islet Amyloid Polypeptide Revealed by Replica Exchange Molecular Dynamics Simulations
by Xuhua Li, Yu Zhang, Zhiwei Yang, Shengli Zhang and Lei Zhang
Int. J. Mol. Sci. 2024, 25(3), 1636; https://doi.org/10.3390/ijms25031636 - 29 Jan 2024
Cited by 2 | Viewed by 1749
Abstract
Alzheimer’s disease and Type 2 diabetes are two epidemiologically linked diseases which are closely associated with the misfolding and aggregation of amyloid proteins amyloid-β (Aβ) and human islet amyloid polypeptide (hIAPP), respectively. The co-aggregation of the two amyloid proteins is regarded as the [...] Read more.
Alzheimer’s disease and Type 2 diabetes are two epidemiologically linked diseases which are closely associated with the misfolding and aggregation of amyloid proteins amyloid-β (Aβ) and human islet amyloid polypeptide (hIAPP), respectively. The co-aggregation of the two amyloid proteins is regarded as the fundamental molecular mechanism underlying their pathological association. The green tea extract epigallocatechin-3-gallate (EGCG) has been extensively demonstrated to inhibit the amyloid aggregation of Aβ and hIAPP proteins. However, its potential role in amyloid co-aggregation has not been thoroughly investigated. In this study, we employed the enhanced-sampling replica exchange molecular dynamics simulation (REMD) method to investigate the effect of EGCG on the co-aggregation of Aβ and hIAPP. We found that EGCG molecules substantially diminish the β-sheet structures within the amyloid core regions of Aβ and hIAPP in their co-aggregates. Through hydrogen-bond, π–π and cation–π interactions targeting polar and aromatic residues of Aβ and hIAPP, EGCG effectively attenuates both inter-chain and intra-chain interactions within the co-aggregates. All these findings indicated that EGCG can effectively inhibit the co-aggregation of Aβ and hIAPP. Our study expands the potential applications of EGCG as an anti-amyloidosis agent and provides therapeutic options for the pathological association of amyloid misfolding disorders. Full article
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Review

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16 pages, 1749 KiB  
Review
Biological Significance and Therapeutic Promise of Programmed Ribosomal Frameshifting
by Miora Bruna Marielle Ramamonjiharisoa and Sen Liu
Int. J. Mol. Sci. 2025, 26(3), 1294; https://doi.org/10.3390/ijms26031294 (registering DOI) - 3 Feb 2025
Abstract
Programmed Ribosomal Frameshifting (PRF) is a mechanism that alters the mRNA reading frame during translation, resulting in the production of out-of-frame proteins. PRF plays crucial roles in maintaining cellular homeostasis and contributes significantly to disease pathogenesis, particularly in viral infections. Notably, PRF can [...] Read more.
Programmed Ribosomal Frameshifting (PRF) is a mechanism that alters the mRNA reading frame during translation, resulting in the production of out-of-frame proteins. PRF plays crucial roles in maintaining cellular homeostasis and contributes significantly to disease pathogenesis, particularly in viral infections. Notably, PRF can induce immune responses in the SARS-CoV-2 mRNA vaccine, further extending its biological significance. These multiple aspects of PRF highlight its potential as a therapeutic target. Since PRF efficiency can be modulated by cellular factors, its expression or silencing is context-dependent. Therefore, a deeper understanding of PRF is essential for harnessing its therapeutic potential. This review explores PRF biological significance in disease and homeostasis. Such knowledge would serve as a foundation to advance therapeutic strategies targeting PRF modulation, especially in viral infections and vaccine development. Full article
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