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Computer-Based Solutions to Investigate Biological- and Health-Related Problems

Topic Information

Dear Colleagues,

Computational methods have been recognized as a reliable way to approach biological and health-related problems. Many state-of-the-art computational methods have been developed to address significant problems in the scientific community. For example, various software and other tools have been used to simulate biomolecules, design drugs, and predict protein structure, protein–protein/DNA/RNA interactions, and pKa. The known structures of biomolecules have allowed atomic simulations, coarse-grained models, and other computational approaches to successfully study biological- and health-related problems. Focusing on interdisciplinary computational advances in physics/chemistry/biology/computer science, we propose a topic on computer-based solutions to understand biological- and health-related problems. This Topic aims to develop and utilize computational algorithms and big data to explore new solutions to biological and health-related problems. Original papers and high-quality review articles are welcome for this Topic. Potential topics include, but are not limited to:

  • Molecular dynamic simulations;
  • Coarse-grained modeling approaches;
  • Software and/or database development for biology research;
  • Protein–protein/DNA/RNA interactions;
  • Prediction of protein-ligand interaction energies;
  • Drug design;
  • Report of clinical/experimental data that can be used for machine learning purposes (all data must be provided in the supplement or through an open-access website);
  • New pipelines utilizing AlphaFold, RoseTTAFold, and/or other machine-learning-based methods to address different biological and health-related problems.

Dr. Lin Li
Dr. Yi He
Topic Editors

Keywords

  • disease-related proteins
  • protein–protein interactions
  • protein–DNA/RNA interactions
  • COVID-19
  • molecular dynamic simulations
  • coarse-grained models
  • machine learning
  • big data
  • drug design
  • data from clinical studies
Graphical abstract

Participating Journals

BioChem
Open Access
112 Articles
Launched in 2021
-Impact Factor
-CiteScore
34 DaysMedian Time to First Decision
-Highest JCR Category Ranking
Biomolecules
Open Access
12,231 Articles
Launched in 2011
4.8Impact Factor
9.2CiteScore
19 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
COVID
Open Access
663 Articles
Launched in 2021
1.0Impact Factor
2.3CiteScore
21 DaysMedian Time to First Decision
Q4Highest JCR Category Ranking
International Journal of Molecular Sciences
Open Access
105,951 Articles
Launched in 2000
4.9Impact Factor
9.0CiteScore
20 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
Pathogens
Open Access
8,866 Articles
Launched in 2012
3.3Impact Factor
6.8CiteScore
13 DaysMedian Time to First Decision
Q2Highest JCR Category Ranking
Viruses
Open Access
16,875 Articles
Launched in 2009
3.5Impact Factor
7.7CiteScore
19 DaysMedian Time to First Decision
Q2Highest JCR Category Ranking
Cells
Open Access
19,703 Articles
Launched in 2012
5.2Impact Factor
10.5CiteScore
16 DaysMedian Time to First Decision
Q2Highest JCR Category Ranking
Current Issues in Molecular Biology
Open Access
3,548 Articles
Launched in 1999
3.0Impact Factor
3.7CiteScore
18 DaysMedian Time to First Decision
Q3Highest JCR Category Ranking

Published Papers