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bioRxiv · 10.1101/2020.07.24.217752

Development of predictive QSAR models on the phosphopeptide binding affinity against 14-3-3 isoforms

Fan, Y.·Wang, X.·Wang, C.
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Abstract

AO_SCPLOWBSTRACTC_SCPLOW14-3-3s present in multiple isoforms in human cells and mediate signal transduction by binding to phosphoserine-containing proteins. Recent findings have demonstrated that 14-3-3s act as a key factor in promoting chemoresistance of cancer. Here, we aimed to develop the predictive models that can determine the binding affinity of phosphopeptide fragments against 14-3-3s. It is found that the hydrophobic property of residues in phosphopeptides has a significant contribution to the binding affinity for most of 14-3-3 isoforms. The conserved patterns of 14-3-3 biding motifs were verified by our predictions. A group of peptide sequences were predicted with high binding affinity and high sequence conservation, which had agreement with 14-3-3s ligands. Overall, our results demonstrate that how the residues are likely to function in 14-3-3s interaction and the computational methods we introduced may contribute to the further research.

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Fan, Y., Wang, X., Wang, C.. 2020-07-24. Development of predictive QSAR models on the phosphopeptide binding affinity against 14-3-3 isoforms. https://doi.org/10.1101/2020.07.24.217752

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