Accurate predictions of protein mutational effects accelerated with a hybrid-topology free energy protocol

Quantifying the effects of point mutations is of utmost interest for pharmaceutical and biotechnological applications. Reliable computational methods range from statistical and AI-based to physics-based approaches, with the optimal balance between accurate and fast predictions remaining a challenge. Free energy perturbation (FEP) simulations, a powerful physics-based approach available for decades, constitutes nowadays a method of common application in protein mutational studies. We present QresFEP-2, a novel hybrid-topology FEP protocol benchmarked on a comprehensive protein stability dataset of 10 protein systems, encompassing almost 600 mutations. QresFEP-2 combines excellent accuracy with the highest computational efficiency among available FEP protocols, and its robustness is further validated through comprehensive domain-wide mutagenesis, assessing the thermodynamic stability of over 400 mutations generated by a systematic mutation scan of the 56-residue B1 domain of streptococcal protein G (Gβ1). We also demonstrate the applicability domain of QresFEP-2 on evaluating site-directed mutagenesis effects on protein-ligand binding, tested on a GPCR, as well as on protein-protein interactions examined on the barnase/barstar complex. QresFEP-2 emerges as an open-source, physics-based alternative for advancing protein engineering, drug design, and elucidating the impact of mutations on human health.

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Publication Details

Journal
Communications Chemistry
Published
2025-11-20
DOI
https://doi.org/10.1038/s42004-025-01771-0
Citations
3
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
2.42

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article

Accurate predictions of protein mutational effects accelerated with a hybrid-topology free energy protocol

Hugo Gutiérrez‐de‐Terán, Nadine van de Brug, Johan Åqvist, Willem Jespers et al.
3 citations
Communications Chemistry
Protein Structure and Dynamics
2.42
article

Accurate predictions of protein mutational effects accelerated with a hybrid-topology free energy protocol

Hugo Gutiérrez‐de‐Terán, Nadine van de Brug, Johan Åqvist, Willem Jespers, Lucien Koenekoop
article en
3 citations

Abstract

Quantifying the effects of point mutations is of utmost interest for pharmaceutical and biotechnological applications. Reliable computational methods range from statistical and AI-based to physics-based approaches, with the optimal balance between accurate and fast predictions remaining a challenge. Free energy perturbation (FEP) simulations, a powerful physics-based approach available for decades, constitutes nowadays a method of common application in protein mutational studies. We present QresFEP-2, a novel hybrid-topology FEP protocol benchmarked on a comprehensive protein stability dataset of 10 protein systems, encompassing almost 600 mutations. QresFEP-2 combines excellent accuracy with the highest computational efficiency among available FEP protocols, and its robustness is further validated through comprehensive domain-wide mutagenesis, assessing the thermodynamic stability of over 400 mutations generated by a systematic mutation scan of the 56-residue B1 domain of streptococcal protein G (Gβ1). We also demonstrate the applicability domain of QresFEP-2 on evaluating site-directed mutagenesis effects on protein-ligand binding, tested on a GPCR, as well as on protein-protein interactions examined on the barnase/barstar complex. QresFEP-2 emerges as an open-source, physics-based alternative for advancing protein engineering, drug design, and elucidating the impact of mutations on human health.

Communications ChemistryVol. 8(1)
Uppsala University (SE), University of Groningen (NL), Dialyse Centrum Groningen (NL), Nanomaterials and Nanotechnology Research Center (ES), Astellas Pharma (Netherlands) (NL), Vrije Universiteit Amsterdam (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, Ministerio de Ciencia e Innovación, Uppsala Universitet
Openalex Percentile: Top 10%
Protein Structure and Dynamics
2.42
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