This journal focuses on the application of computational and artificial intelligence methods to biological and biomedical research. Key areas include the development and application of machine learning, deep learning, and large language models for analyzing omics data (genomics, transcriptomics, metabolomics, proteomics), predicting molecular and protein structures and functions, and understanding complex biological processes. The journal also covers bioinformatics resources, computational drug discovery, and the integration of diverse data types for disease research and biomarker identification.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Information SystemsQ1
Molecular BiologyQ1
Subject Classification
Web of Science Categories
Biochemical Research MethodsMathematical & Computational Biology
Scopus Categories
Information SystemsMolecular Biology
Research Topics (OpenAlex)
Bioinformatics and Genomic NetworksGene expression and cancer classificationGenomics and Phylogenetic StudiesComputational Drug Discovery MethodsMachine Learning in BioinformaticsSingle-cell and spatial transcriptomicsRNA and protein synthesis mechanismsProtein Structure and DynamicsRNA modifications and cancerCancer-related molecular mechanisms research