The Application of Machine Learning for Protein Structure Representation
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: closed (31 July 2023) | Viewed by 4258
Special Issue Editors
Interests: bioinformatics; sequencing data compression; deep learning-based prediction algorithms for disease and drug
Interests: deep learning; computer
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, machine learning and deep learning have revolutionized many areas of protein biology with great success. Protein representation is critical in a variety of tasks in biology, such as predicting protein function and structure classification. As the function of a protein is determined by its structure, the structure-based method for determining informative protein representation is a promising solution.
In this Special Issue, we envision that the application of novel machine learning and deep learning algorithms to protein problems will provide practical solutions to improving predictive performance and enhance our understanding protein function. We invite contributions in the form of original research articles presenting sound and innovative methodology.
Dr. Yuansheng Liu
Prof. Dr. Hao Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- bioinformatics
- deep learning
- protein structure
- protein function
- protein–protein interactions
- protein–peptide interactions
- compound-protein interactions
- drug-target interactions
