The Journal of Biology and Biological Chemistry

International Double-Blind Peer-Reviewed Journal

About the Journal

Disseminating transformative research at the intersection of computational theory, biological sciences, and experimental chemistry.

The Journal of Biology and Biological Chemistry (JBBC) is a peer-reviewed scientific publication dedicated to advancing high-quality research at the intersection of computational sciences, biology, and chemistry.

Serving as a dynamic interdisciplinary platform, the journal brings together researchers, academics, and industry professionals to disseminate innovative scientific discoveries, methodological breakthroughs, and emerging technological developments across the rapidly evolving fields of computational biology, computational chemistry, and related disciplines.

The journal invites original research that unites computational, theoretical, and data-driven strategies to solve pressing problems in biology and chemistry.

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Core Priority Areas

Biology Computational Chemistry Computational Biology Bioinformatics Quantum Chemistry Computer-Aided Drug Design (CADD) & Discovery Molecular Modelling Cheminformatics Theoretical Chemistry Computation-Driven Engineering Applications
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Aims and Scope

The journal publishes original research articles, comprehensive reviews, short communications, and methodological notes covering a broad spectrum of topics, including but not limited to:

Biology

Systems Biology, Structural Biology, Genomics, Transcriptomics, Proteomics, Metabolomics, Phylogenetics, Population Genetics, Ecological Modelling, Plant Breeding, Plant Genetics, Biotechnology, and Synthetic Biology.

Bioinformatics and Genomics

Sequence analysis, genome annotation, comparative genomics, and metagenomics.

Structural Bioinformatics

Protein structure prediction, molecular docking, and structure-function relationships.

Computational Chemistry

Quantum chemistry, molecular modeling, and cheminformatics.

Computational Biology

Molecular docking, molecular dynamics, and drug design.

Systems Biology

Network modeling, pathway analysis, and multi-omics integration.

Computer-Aided Drug Design (CADD)

Computer-Aided Drug Design (CADD), target identification, and virtual screening discovery.

Machine Learning & AI

AI-driven drug discovery, predictive modeling, and pattern recognition in biological data.

Biostatistics & Data Science

Statistical methods for high-throughput biological data analysis.

Pharmacoinformatics

Virtual screening, ADMET prediction, and rational drug design.

Molecular Dynamics

Simulations of biomolecular systems, protein-ligand interactions, and conformational dynamics.

Evolutionary Biology

Phylogenetic analysis, molecular evolution, and population genetics.

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