Evidence map›Paper›PMID 32311315›Full record

ArticleBiophysical journal2020

Entropy Hotspots for the Binding of Intrinsically Disordered Ligands to a Receptor Domain.

Jie Shi, Qingliang Shen, Jae-Hyun Cho, Wonmuk Hwang

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Evolutionary rewiring of the dynamic network underpinning allosteric epistasis in NS1 of the influenza A virus.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Vital for Viruses: Intrinsically Disordered Proteins.Journal of molecular biology · 2023
    Review
  7. Article
  8. 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 at 2 institutions in 2 countries.

Jie ShiDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas.
Qingliang ShenDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas.
Jae-Hyun ChoDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas. Electronic address: jaehyuncho@tamu.edu.
Wonmuk HwangDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas; Department of Materials Science and Engineering, Texas A&M University, College Station, Texas; Department of Physics and Astronomy, Texas A&M University, College Station, Texas; School of Computational Sciences, Korea Institute for Advanced Study, Seoul, South Korea. Electronic address: hwm@tamu.edu.
Texas A&M University · USKorea Institute for Advanced Study · KR

Funding

Structure and functional dynamics of virus-host protein interactionsR01GM127723 · NIGMS · TEXAS A&M AGRILIFE RESEARCH · PI CHO, JAE HYUN · 2018 to 2022
$1.9M
NIGMS NIH HHS R01 GM127723
6 · The paper itself

Abstract

Proline-rich motifs (PRMs) are widely used for mediating protein-protein interactions with weak binding affinities. Because they are intrinsically disordered when unbound, conformational entropy plays a significant role for the binding. However, residue-level differences of the entropic contribution in the binding of different ligands remain not well understood. We use all-atom molecular dynamics simulation and the maximal information spanning tree formalism to analyze conformational entropy associated with the binding of two PRMs, one from the Abl kinase and the other from the nonstructural protein 1 of the 1918 Spanish influenza A virus, to the N-terminal SH3 (nSH3) domain of the CrkII protein. Side chains of the stably folded nSH3 experience more entropy change upon ligand binding than the backbone, whereas PRMs involve comparable but heterogeneous entropy changes among the backbone and side chains. In nSH3, two conserved nonpolar residues forming contacts with the PRM experience the largest side-chain entropy loss. In contrast, the C-terminal charged residues of PRMs that form polar contacts with nSH3 experience the greatest side-chain entropy loss, although their "fuzzy" nature is attributable to the backbone that remains relatively flexible. Thus, residues that form high-occupancy contacts between nSH3 and PRM do not reciprocally contribute to entropy loss. Furthermore, certain surface residues of nSH3 distal to the interface with PRMs gain entropy, indicating a nonlocal effect of ligand binding. Comparing between the PRMs from cAbl and nonstructural protein 1, the latter involves a larger side-chain entropy loss and forms more contacts with nSH3. Consistent with experiments, this indicates stronger binding of the viral ligand at the expense of losing the flexibility of side chains, whereas the backbone experiences less entropy loss. The entropy "hotspots" as identified in this study will be important for tuning the binding affinity of various ligands to a receptor.

Indexed as

Influenza, HumanEntropyHumansLigandsProtein BindingProtein ConformationProto-Oncogene Proteins c-crkLigandsProto-Oncogene Proteins c-crk

Identifiers

PMID32311315
PMCPMC7231926
OpenAlexW3016027482

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.