Evidence map›Paper›PMID 39669175›Full record

ArticleChemical science2025

The energetic landscape of CH-π interactions in protein-carbohydrate binding.

Allison M Keys, David W Kastner, Laura L Kiessling, Heather J Kulik

Abstract read
In one paragraph

Article in Chemical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Liquid-Phase COJournal of the American Chemical Society · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. High-Affinity Peptide-Drug Conjugate Ligands for the TRIM24 PHD and Bromodomain.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. 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

4 authors.

Allison M KeysComputational and Systems Biology Program, Massachusetts Institute of Technology Cambridge MA 02139 USA.ORCID https://orcid.org/0000-0001-8540-5813
David W KastnerDepartment of Chemical Engineering, MIT Cambridge MA 02139 USA hjkulik@mit.edu.ORCID https://orcid.org/0000-0002-7766-4249
Laura L KiesslingDepartment of Chemistry, MIT Cambridge MA 02139 USA kiessling@mit.edu.ORCID https://orcid.org/0000-0001-6829-1500
Heather J KulikDepartment of Chemical Engineering, MIT Cambridge MA 02139 USA hjkulik@mit.edu.ORCID https://orcid.org/0000-0001-9342-0191

Funding

Synthetic Ligands for Modulating Immune Cell ResponsesR01AI055258 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI KIESSLING, LAURA L · 2003 to 2024
$7.8M
Graduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6M
NIAID NIH HHS R01 AI055258NIGMS NIH HHS T32 GM087237
6 · The paper itself

Abstract

CH-π interactions between carbohydrates and aromatic amino acids play an essential role in biological systems that span all domains of life. Quantifying the strength and importance of these CH-π interactions is challenging because these interactions involve several atoms and can exist in many distinct orientations. To identify an orientational landscape of CH-π interactions, we constructed a dataset of close contacts formed between β-d-galactose residues and the aromatic amino acids, tryptophan, tyrosine, and phenylalanine, across crystallographic structures deposited in the Protein Data Bank. We carried out quantum mechanical calculations to quantify their interaction strengths. The data indicate that tryptophan-containing CH-π interactions have more favorable interaction energies than those formed by tyrosine or phenylalanine. The energetic differences between these amino acids are caused by the aromatic ring system electronics and size. We use individual distance and angle features to train random forest models to successfully predict the first-principles computed energetics of CH-π interactions. Using insights from our models, we define a tradeoff in CH-π interaction strength arising from the proximity of galactose carbons 1 and 2

Identifiers

PMID39669175
PMCPMC11632809

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Registered trials

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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.