New Study Enhances Protein Research with Bioinformatics Tools
Researchers at IBB have created a valuable dataset to study proteins involved in forming condensates, crucial for cellular function and linked to diseases. The dataset, available online, will improve predictive models. Led by Salvador Ventura, the study offers insights into protein behavior within cells.
IBB researchers have created a dataset to understand proteins forming condensates in biological processes. The dataset will improve predictive models.
The Protein Folding and Conformational Diseases research group at IBB-UAB led the study.
Proteins can form condensates through liquid-liquid phase separation (LLPS) in cells, crucial for their organization and function. Failure in this process can lead to diseases.
The IBB research team developed a reliable dataset of proteins involved in LLPS, addressing limitations in current predictive models. The study was published in Genome Biology.
The dataset classifies proteins into drivers and clients of LLPS. It also includes proteins not involved in the process, essential for training AI systems. Physicochemical traits related to LLPS were investigated, and existing bioinformatics tools were evaluated.
The dataset enables accurate association of a protein's role in LLPS. A total of 2,876 proteins were classified. The data is openly available at llpsdatasets.ppmclab.com.
According to the source: Mirage News.
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