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Flexibility or uncertainty? A critical assessment of AlphaFold 2 pLDDT
Yann Vander Meersche1, Julien Diharce1, Jean-Christophe Gelly1
1Université Paris Cité and Université de la Réunion, INSERM, EFS, BIGR U1134, DSIMB Bioinformatics Team, 75015 Paris, France.
Abstract:
Release of AlphaFold 2 and subsequent development of AlphaFold 3 had a profound impact on protein structure prediction, providing near-experimental accuracy. However, the utility of AF2's confidence index (pLDDT) as indicators of protein flexibility remains underexplored and debated. In this large-scale study, we evaluate AF2's pLDDT as a predictor of protein flexibility by comparing it with flexibility metrics derived from molecular dynamics (MD) simulations from the ATLAS dataset, NMR ensembles, and experimental B-factors. We also assess the efficiency of ESMFold pLDDT and AlphaFold 3 in this context. Our findings reveal that AF2 pLDDT reasonably correlates with MD and NMR-derived flexibility metrics, but fails to capture flexibility in the presence of interacting partners, and therefore need to be cautiously interpreted. Furthermore, AF2 pLDDT appears more relevant than B-factor values for evaluation of protein flexibility. While AF3 shows slight improvements in capturing protein dynamics, MD simulations remain superior for comprehensive flexibility assessment.
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