Aggregation of Intrinsically Fluorescent Proteins: Combining Coarse-Grained Molecular Dynamics with Alphafold Predictions

Aggregation is a pervasive phenomenon affecting both disordered and folded proteins, modulated by the balance between hydrophobic attraction and electrostatics, and generally explored by means of molecular dynamics simulations, often performed with low-resolution models. On the other hand, the AI based structure prediction AlphaFold software, extremely accurate for single chains, has been recently provided with the capability of predicting the structure of protein complexes. In this work, we compare coarse-grained molecular dynamics simulations to assess the relative performance of different force fields and those of AlphaFold3 (AF3) in predicting the aggregation of four variants of intrinsically fluorescent proteins. Our results are useful for guiding the choice or design of new potentials for systems containing both disordered and folded proteins and outline a possible scheme to integrate AlphaFold with molecular dynamics simulations.

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Publication Details

Journal
ACS Omega
Published
2025-11-09
DOI
https://doi.org/10.1021/acsomega.5c06850
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
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article

Aggregation of Intrinsically Fluorescent Proteins: Combining Coarse-Grained Molecular Dynamics with Alphafold Predictions

Valentina Tozzini, Margherita Bini, Giorgia Brancolini
ACS Omega
Protein Structure and Dynamics
article

Aggregation of Intrinsically Fluorescent Proteins: Combining Coarse-Grained Molecular Dynamics with Alphafold Predictions

Valentina Tozzini, Margherita Bini, Giorgia Brancolini
article en

Abstract

Aggregation is a pervasive phenomenon affecting both disordered and folded proteins, modulated by the balance between hydrophobic attraction and electrostatics, and generally explored by means of molecular dynamics simulations, often performed with low-resolution models. On the other hand, the AI based structure prediction AlphaFold software, extremely accurate for single chains, has been recently provided with the capability of predicting the structure of protein complexes. In this work, we compare coarse-grained molecular dynamics simulations to assess the relative performance of different force fields and those of AlphaFold3 (AF3) in predicting the aggregation of four variants of intrinsically fluorescent proteins. Our results are useful for guiding the choice or design of new potentials for systems containing both disordered and folded proteins and outline a possible scheme to integrate AlphaFold with molecular dynamics simulations.

ACS OmegaVol. 10(45)
Scuola Normale Superiore (IT), Istituto Nanoscienze (IT), National Enterprise for NanoScience and NanoTechnology (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Pisa (IT)
Openalex Percentile: Top 69%
Protein Structure and Dynamics
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