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Search Results: CBIO
Current Bioinformatics
ISSN: 1574-8936 (Print)
eISSN: 2212-392X (Online)
Impact Factor :
2.4
CiteScore:
6.6
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:
University of Electronic Science and Technology of China
Chengdu
China
Special Issues With Active Call for Papers
Application of Large Language Models in Bioinformatics
Large language models (LLMs) are increasingly transforming the field of bioinformatics by enabling scalable, data-driven solutions to complex biological and biomedical challenges. Recent advances in domain-specific foundation models have shown strong performance across a wide range of applications, including protein structure and function prediction, gene annotation, drug discovery, multi-omics data integration, biomedical text mining, and medical imaging analysis. This thematic issue aims to gather cutting-edge research on the development, evaluation, and application of LLMs in... see more
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
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