About this Research Topic
In living cells, various kinds of molecules interact with each other. These interactions constitute several types of biological networks such as protein-protein interaction networks, gene regulatory networks, and metabolic networks.
To study these networks, one needs to identify the structures of these networks from experimental data or literature. To this end, various computational methods have been proposed. However, existing methods are not sufficient and new technologies such as single cell analysis are becoming widely available. Therefore, it is strongly needed to develop new computational methods for inference of biological networks and/or molecular interactions.
Specific topics of interest include, but are not limited to:
1) Inference of protein-protein interactions
2) Inference of RNA-protein interactions
3) Inference of DNA-protein interactions
4) Inference of ligand-protein interactions
5) Inference of gene regulatory networks
6) Text mining methods for inference of biological networks
7) Machine learning/deep learning methods for inference of biological networks and molecular interactions
8) Biological networks fusion for inference of systematic biology activities
Keywords: protein-protein interactions, RNA-protein interactions, gene regulatory networks, metabolic networks, networks fusion, single cell sequencing
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