A Commemorative Issue Honoring Biomolecular Scientists in the Post-COVID-19 Pandemic Era
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pathology, Diagnostics, and Therapeutics".
Deadline for manuscript submissions: 20 July 2024 | Viewed by 2726
Special Issue Editor
Interests: nanoscience; nanomedicine; targeted drug delivery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In this post-COVID-19 pandemic era, it is important to commemorate and celebrate the remarkable role of biomolecular scientists in developing vaccines. The development of effective vaccines for COVID-19 required a deep understanding of the complex interactions of multiple molecular and cellular processes. The successful development of vaccines is a testament to the dedication and hard work of the scientists involved. Celebrating their efforts also helps to raise public awareness about the importance of biomolecular science and research in improving public health and wellbeing. In addition, the fast development of vaccines for such a novel disease provides hope for future pandemics and demonstrates the potential of biomolecular research to address global health challenges. By celebrating the response of biomolecular scientists to developing vaccines for COVID-19, we recognize their contributions to advancing human health and encourage continued investment in the field of biomolecular science.
The aim of this Special Issue is to honor the contributions of biomolecular scientists in responding to COVID-19. The focus of this Special Issue is on computations in biomolecular sciences, which combines the principles of molecular biology, biomolecular science, and computer science to develop new tools and technologies that can be used to analyze, manipulate, and store biological information, as well as develop novel biological tools and applications. Key applications include the design and development of new drugs, vaccines, therapies, diagnostics, and biosensors. For example, by using computational methods to simulate the behavior of biomolecules and their interactions, scientists can optimize the design of drugs to target specific diseases and minimize side effects. In addition, the application of molecular computations helps in the analysis of large-scale genomic and proteomic data to identify patterns and relationships that would be difficult or impossible to detect through traditional experimental methods. This provides insights into the underlying mechanisms of diseases to develop new diagnostic and therapeutic approaches.
We invite manuscripts that focus on research advances, theoretical underpinnings, demonstrations, and applications in the field of computations in biomolecular sciences. Original research articles, methods, communications, reviews, and mini-reviews on, but not limited to, the following topics can be submitted.
- DNA computing: the use of DNA molecules as a computing substrate, such as programming, to perform complex computational tasks such as pattern recognition and data storage.
- Molecular simulations of biomolecular interactions: the use of computational tools to generate novel biomolecules and study interactions between biomolecules (e.g., protein–protein and DNA–protein interactions).
- RNA folding algorithms: development of algorithms that can predict the structure of RNA molecules, which can be used to study the function of RNA and its role in diseases.
- Protein structure prediction: development of methods to predict the structure of proteins based on their amino acid sequences, which can be used to study the function of proteins and their interactions with other molecules.
- Molecular modeling: the use of computational methods to simulate the motion and interactions of biological molecules, providing insights into the dynamic behavior of biological systems.
- Systems biology: the integration of computational methods with experimental data to study the behavior of biological systems at the molecular, cellular, and organismal levels, and to gain insights into complex biological processes.
- Synthetic biology: the design and construction of new biological systems for specific applications, such as the production of biofuels/bioproducts or the development of new diagnostic and therapeutic tools.
- Metabolic network analysis: the use of computational methods to study the metabolic processes of cells and organisms, providing insights into the biochemical pathways involved in cellular metabolism and the regulation of cellular function.
Dr. Michael Danquah
Guest Editor
Manuscript Submission Information
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