International Journal of Bioinformatics and Computational Biology

International Journal of Bioinformatics and Computational Biology [2583-9977] is a peer-reviewed hybrid open-access journal launched in 2023 concerning recent advancements and emerging technology in computational biology and bioinformatics. Journal also covers a wide range of topics including synthetic biology and structural genomics. Journal publishes both experimental and theoretical papers.

The journal welcomes contributions across the following topic areas:

• Bioinformatics & Molecular Informatics: genome sequence analysis and annotation, DNA and RNA sequence analysis, sequence homology and comparison tools, Multiple Sequence Alignment (MSA) methods, phylogenetic analysis, biological sequence databases, and sequence search services
• Computational & Statistical Genetics: genome-wide association studies (GWAS), population genetics analysis, genetic epidemiology, quantitative genetics methodologies, statistical genetics modeling, and variant interpretation
• Genomics & Structural Genomics: functional and comparative genomics, genome annotation, structural genome analysis, single-nucleotide polymorphism (SNP) analysis, copy number variation, and gene prediction
• Proteomics & Mass Spectrometry: protein identification and quantification, proteomics data analysis, tandem mass spectrometry (LC-MS/MS), biomarker discovery, targeted proteomics, and metabolomics
• Systems Biology & Network Analysis: biological systems modeling, gene regulatory networks (GRNs), protein-protein interaction networks, metabolic pathway analysis, network inference, and dynamical systems analysis
• Mathematical Biology & Biophysics: mathematical modeling of biological processes, differential equations for biological systems, biophysical modeling, molecular dynamics simulation, and theoretical biology
• Molecular Biology & Biochemistry: protein structure and dynamics prediction, molecular recognition, DNA and RNA structure analysis, enzyme kinetics, cell signaling pathways, and biochemical data analysis
• Computational Drug Design: structure-based and ligand-based drug design, QSAR modeling, molecular docking, virtual screening, pharmacokinetic and pharmacodynamic modeling, and drug optimization
• Medical Informatics & Biomedical Computing: clinical decision support systems, electronic health records analysis, medical image analysis, health informatics systems, and clinical data mining
• Biological Algorithms & Machine Learning: genetic algorithms and evolutionary computation, neural networks applied to bioinformatics, data clustering and pattern recognition, optimization algorithms, and machine learning for biological data
• Bioinformatics Software & Tool Development: bioinformatics pipeline design, database development for biological sequences and structures, visualization tools, and software for computational analysis
• Computational Biomodeling: molecular modeling and simulation, protein folding prediction, systems modeling, computational cell biology, and phenotype prediction from genotype