Evidence map›Paper›PMID 33307090›Full record

ArticleJournal of molecular biology2021

Predictive QM/MM Modeling of Modulations in Protein-Protein Binding by Lysine Methylation.

Sanim Rahman, Vered Wineman-Fisher, Yasmine Al-Hamdani, Alexandre Tkatchenko, Sameer Varma

Open access · bronzeAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Polarizable AMOEBA Model for Simulating MgJournal of chemical information and modeling · 2024
    Article
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  5. Article
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  7. Article
  8. Contrasting Local and Macroscopic Effects of Collagen Hydroxylation.International journal of molecular sciences · 2021
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Sanim RahmanDepartment of Cell Biology, Microbiology and Molecular Biology, University of South Florida, 4202 E. Fowler Ave., Tampa, FL 33620, USA.
Vered Wineman-FisherDepartment of Cell Biology, Microbiology and Molecular Biology, University of South Florida, 4202 E. Fowler Ave., Tampa, FL 33620, USA.
Yasmine Al-HamdaniPhysics and Materials Science Research Unit, University of Luxembourg, L-1511 Luxembourg, Luxembourg.
Alexandre TkatchenkoPhysics and Materials Science Research Unit, University of Luxembourg, L-1511 Luxembourg, Luxembourg.
Sameer VarmaDepartment of Cell Biology, Microbiology and Molecular Biology, University of South Florida, 4202 E. Fowler Ave., Tampa, FL 33620, USA; Department of Physics, University of South Florida, 4202 E. Fowler Ave., Tampa, FL 33620, USA. Electronic address: svarma@usf.edu.
University of South Florida · USUniversity of Luxembourg · LU

Funding

The role of histone demethylase KDM5B in ethanol-induced microglial activation: link to tau pathologyR01AA026082 · NIAAA · UNIVERSITY OF SOUTH FLORIDA · PI STEVENS, STANLEY M · 2017 to 2021
$2.2M
Accurate and Efficient Modeling of Biomolecular Ionic Interactions: Charge Redistribution, Polarization and DispersionR01GM118697 · NIGMS · UNIVERSITY OF SOUTH FLORIDA · PI VARMA, SAMEER · 2016 to 2019
$904k
NIAAA NIH HHS R01 AA026082NIGMS NIH HHS R01 GM118697
6 · The paper itself

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.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationBinding SitesCarrier ProteinsHydrogen BondingLysineMethylationProtein BindingProteinsSolventsStructure-Activity RelationshipCarrier ProteinsLysineProteinsSolventsElectrostaticsMethylationPolarizationProtein–protein interactionsQuantum mechanics

Identifiers

PMID33307090
PMCPMC9801414
OpenAlexW3111232582

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.