The Structural and Dynamical Characterization of Biological Processes
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: closed (30 June 2023) | Viewed by 3772
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue is devoted to the structural and dynamic characteristics of molecular systems from a biological perspective. It will cover the various levels of their organization, from individual biomolecules (metabolites, proteins, RNA and DNA) to molecular genetic networks (metabolic pathways, gene regulatory networks and gene association networks) formed through physical or functional interactions. An interdisciplinary approach to the topology and dynamics of molecular networks, including the structural and dynamic properties of their component macromolecules, opens the way for understanding the complex mechanisms underlying the functioning of living systems. This Special Issue’s ultimate goal is to discuss the molecular mechanisms of biological processes and how their disruption contributes to various conditions, such as disease and the response to internal and external factors.
This Special Issue covers original research and reviews featuring interdisciplinary approaches such as structural biology, omics data analysis (metabolomic, proteomic, genomic, transcriptomic, etc.), and network analysis and modeling that contribute to the molecular and biological systems research community.
Since IJMS is a journal of molecular science, pure clinical studies are not suitable for our journal. However, clinical or pure model submissions with biomolecular experiments are welcome.
I warmly welcome your contributions to this Special Issue of “The Structural and Dynamical Characterization of Biological Processes".
Prof. Dr. Tamara M. Khlebodarova
Guest Editor
Manuscript Submission Information
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Keywords
- structural and functional organization of macromolecules and molecular systems
- metabolic pathways
- regulatory networks of genes
- associative networks of genes
- modeling
- metabolomics
- proteomic and transcriptomic data
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