Special Issue for Computational and Structural Biotechnology Journal

The main scope of the upcoming special issue focused on “Generative AI in Computational Biology and Bioinformatics” would be to offer highlights in the field covering the relevant topics from generative AI to computational biology and bioinformatics.

csbj-generative-ai

Guest Editors

Ka-Chun Wong
Associate Professor
University of Hong Kong
Email: kc.w@cityu.edu.hk

Xingjian Chen
Postdoctoral Fellow
Harvard University
Email: xchen57@mgh.harvard.edu

Shankai Yan
Associate Professor
Hainan University
Email: skyan@hainanu.edu.cn

Shixiong Zhang
Associate Professor
Xidian University
Email: zhangsx@xidian.edu.cn

Xiangtao Li
Professor
Jilin University
Email: lixt314@jlu.edu.cn

Special issue information

Generative AI, a subfield of Artificial Intelligence (AI), has shown promising impacts in computational biology and bioinformatics. Specifically, it can be developed to create models capable of generating interesting data with the same statistical properties as the training set. This technology has been instrumental in simulating biological systems, predicting 3D molecular structures, and generating genomic sequences. The fusion of generative AI with computational biology and bioinformatics offers potential in understanding complex biological phenomena, drug discovery, and personalized medicine. However, the inherent complexity of biological systems poses challenges that necessitate further research and development in this interdisciplinary field.

Scope of the Special Issue

In this special issue, we will explore the potential of generative AI in the wide domains related to computational biology and bioinformatics with good performance at different V’s (volume, velocity, veracity, value, and variety) in the era of big data.

Possible research topics include but are not limited to:

Biotechnology Development with Generative AI
Data Integration with Generative AI in Biology
Ethics of Generative AI in Biology
Foundation Models in Biology
Multimodal Generative AI in Biology
Software Tools with Generative AI in Biology
Translational Studies with Generative AI in Biology
Generative AI in Biological Networks, Biological Text Data, Biomedical Images, Cellular Biology, Disease Modelling, Drug Discovery, Epigenetics, Genomics, Genetic Engineering, High-throughput Sequencing, Medicine, Metagenomics, Microbiome Research, Proteomics, and Systems Biology

Manuscript submission information

The Journal’s submission system will be open for submissions to our Special Issue from May 6, 2024. When submitting your manuscript please select the appropriate sub-category “VSI: Generative AI in Computational Biology” In the additional information section. Please submit your manuscript before December 31, 2024.

All manuscripts will receive expedited handling and the accepted version will appear online within one week. Please note that every accepted paper is subjected to a processing fee as per Elsevier’s open access journal policies.

If you have any further questions, please feel free to contact us at publications.assistant@csbj-rncsb.org.

Why publish in this Special Issue?

Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work.
Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues.
Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.

Learn more about the benefits of publishing in a special issue.

Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field.