New Computational Methodologies for Biomolecule Sequence, Structure and Function Discovery
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 October 2024 | Viewed by 642
Special Issue Editor
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 employ computational methods to analyze enzymes, identify biomolecules, biological networks, and structural proteomics, for gene expression analysis, molecular docking, post-translational modifications, etc. 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 tacking different problems in bioinformatics, and the new findings therein promise to provide new insights for biologists and medical scientists.
This Special Issue is focused on studies relating to novel computational methodologies and golden benchmark datasets for biomolecule sequence, structure, and function discovery. Thus, we welcome original research articles, review articles, 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