This site is under development. For the current active site, go to bcbhub.csic.es.

Research Line

Detalle de: New AI-based methods for the structural modeling of protein assemblies: integration of pyDock and AlphaFold

Title New AI-based methods for the structural modeling of protein assemblies: integration of pyDock and AlphaFold
Description

We are using AI-based methods like AlphaFold to improve structural modeling of protein-protein complexes. Our current approach consists in generating hundreds of structural models with AlphaFold, which are scored by pyDock energy-based function. We are exploring the use of additional descriptors to build new ML-based models for better scoring functions.

Validation of methodology is essential in order to define the predictive capabilities in realistic applications. For that, we are participating in community-wide assessment initiatives like CAPRI or CASP.

Research Groups Structural Bioinformatics, Modeling and Biological Mechanisms
Researchers Juan Fernández Recio

Suggest changes

Spotted something outdated or wrong here? Let us know below and we'll take care of it.

← Return to Home