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Current Bioinformatics

ISSN: 1574-8936 (Print)
eISSN: 2212-392X (Online)

Journal
Impact Factor :

2.4

Scopus
CiteScore:

6.6

Aims and Scope:Current Bioinformatics aims to publish all the latest and outstanding developments in bioinformatics. Each issue contains a series of timely, in-depth/mini-reviews, research papers and guest edited thematic issues written by leaders in the field, covering a wide range of the integration of biology with computer and information science.

The journal focuses on advances in computational molecular biology, encompassing such niche areas as DNA/RNA/protein sequence alignment and prediction, genes and multi-source heterogeneous networks reconstruction, 3D genome, and spatial transcriptomics computation. The problems belong to the molecules, and the techniques are involved in artificial intelligence and algorithms. Developments in these fields directly affect key issues related to molecular biology, medicine, development of agricultural products, environmental protection, etc.

Current Bioinformatics is an essential journal for all academic and industrial researchers who want expert knowledge on all major advances in bioinformatics.

Editor-in-Chief:


Quan Zou Institute of Fundamental and Frontier Sciences
University of Electronic Science and Technology of China
Chengdu
China

Indexed in:


EI Compendex, Scopus, SCI Expanded... View all

Special Issues With Active Call for Papers

Submission closes on: Mar 16, 2026
Hot Topics in Computational Genomics

Computational genomics has emerged since the beginning of the 21st century. Recently, along with the sequencing technology at single-cell level, computational genomics step forward to the level of singe-cell resolution. Several topics are well studied in this area. Several other topics are still challenging tasks for bioinformatics. This thematic issue will include studies on genomic regulatory element recognition, chromatin structure modelling, cell representation and analysis using single-cell resolution sequencing data on multiple levels, essential gene... see more

Submission closes on: Feb 20, 2026
AI-Based Prediction of Functional Proteins

Functional proteins are vital molecules involved in a variety of physiological and pathological processes within the body. Understanding the relationship between protein structure and function is key to unraveling the mechanisms of life sciences, disease processes, and drug discovery. However, traditional experimental methods are often time-consuming, costly, and constrained by various factors in data acquisition. With the rapid development of artificial intelligence (AI) technologies, particularly deep learning methods, AI-based protein function prediction has emerged as... see more