Prediction of resveratrol target proteins: a bioinformatics analysis

Abstract

Resveratrol is a natural compound with a wide range of biological functions that generate health benefits under normal conditions and in multiple diseases. This has attracted the attention of the scientific community, which has revealed that this compound exerts these effects through its action on different proteins. Despite the great efforts made, due to the challenges involved, not all the proteins with which resveratrol interacts have yet been identified. In this work, using protein target prediction bioinformatics systems, RNA sequencing analysis and protein-protein interaction networks, 16 proteins were identified as potential targets of resveratrol. Due to its biological relevance, the interaction of resveratrol with the predicted target CDK5 was further investigated. A docking analysis found that resveratrol can interact with CDK5 and be positioned in its ATP-binding pocket. Resveratrol forms hydrogen bonds between its three hydroxyl groups (-OH) and CDK5 residues C83, D86, K89 and D144. Molecular dynamics analysis showed that these bonds allow resveratrol to remain in the pocket and suggest inhibition of CDK5 activity. All this allows us to better understand how resveratrol acts and to consider CDK5 inhibition within its biological actions, mainly in neurodegenerative diseases where this protein has been shown to be relevant.

Communicated by Ramaswamy H. Sarma

Keywords:

• Polyphenol
• CDK5 inhibition
• ATP-binding pocket
• neurodegenerative diseases

Data availability

The data that support the findings of this study are available from the corresponding author, FALR, upon reasonable request.

Disclosure statement

The author reports there are no competing interests to declare.

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.