首页|Accurate Predictions of Phase Separating Proteins at Single Amino Acid Resolutio n
Accurate Predictions of Phase Separating Proteins at Single Amino Acid Resolutio n
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - According to news reporting based on a preprint a bstract, our journalists obtained the followingquote sourced from biorxiv.org:“Liquid-liquid phase separation (LLPS) is a molecular mechanism that leads to th e formation of membranelessorganelles inside the cell. Despite recent advances in the experimental probing and computationalprediction of proteins involved in this process, the identification of the protein regions driving LLPS andthe pr ediction of the effect of mutations on LLPS are lagging behind. Here, we introdu ce catGRANULE2.0 ROBOT R - Ribonucleoprotein, O - Organization, in B - Bioconde nsates, O - Organelle, T - Types),an advanced algorithm for predicting protein LLPS at single amino acid resolution. Integrating physicochemicalproperties of the proteins and structural features derived from AlphaFold models, catGRANULE2.0 ROBOT significantly surpasses traditional sequence-based and state-of-the-ar t structure-based methodsin performance, achieving an Area Under the Receiver O perating Characteristic Curve (AUROC) of0.76 or higher.
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