New Computational Methodologies for Biomolecule Sequence, Structure and Function Discovery: 2nd Edition
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 749
Special Issue Editor
Interests: machine learning; deep learning; data mining; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the accumulation of large-scale data in bioinformatics, researchers deal with several types of biomolecule data, such as sequences, structures, and functions. The question of how to effectively use these data in the fields of biology is an important one, as many researchers apply computational methods to analyze enzymes, identify biomolecules and biological networks, study structural proteomics, analyze gene expression, perform molecular docking, assess post-translational modifications, and more. Many new computational methodologies have been developed for biomolecule sequence, structure, and function discovery. The novel methods presented in these studies propose new tools for tackling different problems in bioinformatics, and the new findings therein promise to provide new insights for biologists and medical scientists.
This Special Issue focuses on studies introducing novel computational methodologies and high-quality benchmark datasets for the discovery of biomolecule sequences, structures, and functions. Thus, we welcome original research articles, reviews, and communications covering one or more of the following topics:
- Bioinformatics;
- Machine learning;
- Deep learning;
- Biomolecule identification;
- Biological networks;
- Structural proteomics;
- Gene expression analysis;
- Molecular docking;
- Post-translational modifications.
Prof. Dr. Fei Guo
Guest Editor
Manuscript Submission Information
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Keywords
- bioinformatics
- machine learning
- deep learning
- biomolecule identification
- biological networks
- structural proteomics
- gene expression analysis
- molecular docking
- post-translational modifications
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