Computational Biology
A section of BioTech (ISSN 2673-6284).
Section Information
Computational biology is a vital aspect of biotechnology, and the section dedicated to this topic invites the submission of excellent manuscripts that report new investigations into all aspects of research on computational biology. Potential topics may include, but are not limited to, data analytics, predictive modelling, pattern recognition, outcome predictions, virtual screening, molecular simulations for drug design, drug development processes, personalized medicine approaches, multi-omics data, systems-level approaches, metabolic pathways, gene and protein networks, and the use of network biology approaches to understand complex molecular interactions, functional, structural and evolutionary relationships. The editors will also consider reviews that summarize current thinking or present controversial viewpoints for further discussion. Short communications that report important self-contained observations are also welcome.
Keywords
- computational biology
- data analysis
- databases
- data provenance
- predictive modelling
- drug discovery
- personalized medicine
- genomics
- systems biology
- molecular simulation
- molecular docking
- virtual screening
- drug design
- genetic variations
- disease susceptibility
- biomarkers
- algorithms
- statistical models
- network analysis
- gene regulatory networks
- metabolic pathways
- personalized therapies
- genomics
- transcriptomics
- proteomics
- metabolomics
- epigenomics
- multi-omics data integration
- genome assembly
- data simulation
- computational methods
- target identification
- experimental design
- drug development computational pipelines
- data interpretation
- disease diagnosis
- genetic mutations
- molecular structures
- biological ontologies
- healthcare advancements
- precision medicine
- therapeutic targets
- data visualization
Editorial Board
Special Issue
Following special issue within this section is currently open for submissions:
- Feature Papers in Computational Biology (Deadline: 30 September 2024)
