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Record W2315423922 · doi:10.1021/ar300072g

The Cation−π Interaction at Protein–Protein Interaction Interfaces: Developing and Learning from Synthetic Mimics of Proteins That Bind Methylated Lysines

2012· article· en· W2315423922 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAccounts of Chemical Research · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMethylationDemethylaseChemistryEpigeneticsLysineMethyltransferaseBiochemistryComputational biologyBiologyGeneAmino acid

Abstract

fetched live from OpenAlex

First discovered over 60 years ago, post-translational methylation was considered an irreversible modification until the initial discoveries of demethylase enzymes in 2004. Now researchers understand that this process serves as a dynamic and complex control mechanism that is misregulated in numerous diseases. Lysine methylation is most often found on histone proteins and can effect gene regulation, epigenetic inheritance, and cancer. Because of this connection to disease, many enzymes responsible for methylation are considered targets for new cancer therapies. Although our understanding of the biology of post-translational methylation has advanced at an astonishing rate within the last 5 years, chemical approaches for studying and disrupting these pathways are only now gaining momentum. In general, enzymes methylate lysine and arginine residues with very high specificity for both the location and methylation state. Each methylated target serves as the focused hot spot for an inducible protein-protein interaction (PPI). Conceptually, lysine or arginine methylation is a subtle modification that leads to no change in charge and small changes in size, but it significantly alters the hydration energies and hydrogen bonding potential of these side chains. Nature has evolved a special motif for recognizing the methylation states of lysine, called the "aromatic cage", a collection of aromatic protein residues, often accompanied by one or more neighboring anionic residues. The combination of favorable cation-π, electrostatic, and van der Waals interactions, as well as size matching, gives these proteins a high degree of specificity for the methylation state. This Account summarizes the development of various supramolecular host system scaffolds developed to recognize and bind to ammonium cations, such as trimethyllysine, on the basis of their methylation state. Early systems bound to their targets in pure, buffered water but failed to achieve biochemically relevant affinities and selectivities. Surprisingly, the use of the simple and very well-known p-sulfonatocalix[4]arene provides protein-like affinities and selectivities for trimethyllysine in water. New analogs, created by synthetic modification of the same scaffold, allow for further tuning of affinities and selectivities for trimethyllysine. Our studies of each family of hosts paint a consistent picture: cation-π interactions and electrostatics are important, and solvation effects are complex. Rigidity is especially important for host-guest systems that function in pure water. Despite their simplicity, synthetic systems that take these lessons into account can achieve affinities that rival or surpass those of their naturally evolved counterparts. The stage is now set for the next act: the use of such compounds as tunable and adaptable tools for modern chemical biology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.418

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.353
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it