Computational Biology and Chemistry

Computational Biology and Chemistry publishes high quality full-length articles and review articles in all areas of computational life sciences. It covers a very wide range of areas of research, including:

• Nucleic Acid and Protein Sequence Research

• Molecular Evolution

• Molecular Genetics (Functional Genomics and Proteomics)

• Biology-Specific Modeling Theory and Practice

• Chemical-Biology-Specific Modeling Theory and Practice

• Structural Biology of Nucleic Acids and Proteins

• Bioinformatics

• Systems Biology

• Ecology

• Computational Pharmacology

• Computational Molecular Biophysics

• Metabolism

• Biomedical Engineering

• Epidemiology

• Statistical Genetics

• Innovative AI methodologies for biological data, biomolecular modelling and machine learning models

Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions.

Submissions of premature modeling exercises without additional biological insights will not be considered.