ArticleJournal of molecular biology2021
Predictive QM/MM Modeling of Modulations in Protein-Protein Binding by Lysine Methylation.
Article in Journal of molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Multiscale Computational Protocols for Accurate Residue Interactions at the Flexible Insulin-Receptor Interface.Journal of chemical information and modeling · 2025Article
- CD147-K148me2-Driven Tumor Cell-Macrophage Crosstalk Provokes NSCLC Immunosuppression via the CCL5/CCR5 Axis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Polarizable AMOEBA Model for Simulating MgJournal of chemical information and modeling · 2024Article
- Reading and erasing of the phosphonium analogue of trimethyllysine by epigenetic proteins.Communications chemistry · 2022Article
- Inclusion of High-Field Target Data in AMOEBA's Calibration Improves Predictions of Protein-Ion Interactions.Journal of chemical information and modeling · 2022Article
- MAT2A facilitates PDCD6 methylation and promotes cell growth under glucose deprivation in cervical cancer.Cell death discovery · 2022Article
- Article
- Contrasting Local and Macroscopic Effects of Collagen Hydroxylation.International journal of molecular sciences · 2021Article
- Methyl-Induced Polarization Destabilizes the Noncovalent Interactions of N-Methylated Lysines.Chemistry (Weinheim an der Bergstrasse, Germany) · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Lysine methylation is a key regulator of protein-protein binding. The amine group of lysine can accept up to three methyl groups, and experiments show that protein-protein binding free energies are sensitive to the extent of methylation. These sensitivities have been rationalized in terms of chemical and structural features present in the binding pockets of methyllysine binding domains. However, understanding their specific roles requires an energetic analysis. Here we propose a theoretical framework to combine quantum and molecular mechanics methods, and compute the effect of methylation on protein-protein binding free energies. The advantages of this approach are that it derives contributions from all local non-trivial effects of methylation on induction, polarizability and dispersion directly from self-consistent electron densities, and at the same time determines contributions from well-characterized hydration effects using a computationally efficient classical mean field method. Limitations of the approach are discussed, and we note that predicted free energies of fourteen out of the sixteen cases agree with experiment. Critical assessment of these cases leads to the following overarching principles that drive methylation-state recognition by protein domains. Methylation typically reduces the pairwise interaction between proteins. This biases binding toward lower methylated states. Simultaneously, however, methylation also makes it easier to partially dehydrate proteins and place them in protein-protein complexes. This latter effect biases binding in favor of higher methylated states. The overall effect of methylation on protein-protein binding depends ultimately on the balance between these two effects, which is observed to be tuned via several combinations of local features.
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Registered trials
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