Evidence map›Paper›PMID 38324587›Full record

ArticlePLoS computational biology2024

Reconciling ASPP-p53 binding mode discrepancies through an ensemble binding framework that bridges crystallography and NMR data.

Te Liu, Sichao Huang, Qian Zhang, Yu Xia, Manjie Zhang, Bin Sun

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Te LiuResearch Center for Pharmacoinformatics, College of Pharmacy, Harbin Medical University, Harbin, China.ORCID 0009-0002-3205-0988
Sichao HuangResearch Center for Pharmacoinformatics, College of Pharmacy, Harbin Medical University, Harbin, China.
Qian ZhangResearch Center for Pharmacoinformatics, College of Pharmacy, Harbin Medical University, Harbin, China.
Yu XiaResearch Center for Pharmacoinformatics, College of Pharmacy, Harbin Medical University, Harbin, China.
Manjie ZhangResearch Center for Pharmacoinformatics, College of Pharmacy, Harbin Medical University, Harbin, China.
Bin SunResearch Center for Pharmacoinformatics, College of Pharmacy, Harbin Medical University, Harbin, China.ORCID 0000-0003-2583-4493
Harbin Medical University · CN

Funding

Harbin Medical UniversityNational Science Foundation 22002096Provincial Basic Research Fund for Universities
6 · The paper itself

Abstract

ASPP2 and iASPP bind to p53 through their conserved ANK-SH3 domains to respectively promote and inhibit p53-dependent cell apoptosis. While crystallography has indicated that these two proteins employ distinct surfaces of their ANK-SH3 domains to bind to p53, solution NMR data has suggested similar surfaces. In this study, we employed multi-scale molecular dynamics (MD) simulations combined with free energy calculations to reconcile the discrepancy in the binding modes. We demonstrated that the binding mode based solely on a single crystal structure does not enable iASPP's RT loop to engage with p53's C-terminal linker-a verified interaction. Instead, an ensemble of simulated iASPP-p53 complexes facilitates this interaction. We showed that the ensemble-average inter-protein contacting residues and NMR-detected interfacial residues qualitatively overlap on ASPP proteins, and the ensemble-average binding free energies better match experimental KD values compared to single crystallgarphy-determined binding mode. For iASPP, the sampled ensemble complexes can be grouped into two classes, resembling the binding modes determined by crystallography and solution NMR. We thus propose that crystal packing shifts the equilibrium of binding modes towards the crystallography-determined one. Lastly, we showed that the ensemble binding complexes are sensitive to p53's intrinsically disordered regions (IDRs), attesting to experimental observations that these IDRs contribute to biological functions. Our results provide a dynamic and ensemble perspective for scrutinizing these important cancer-related protein-protein interactions (PPIs).

Indexed as

Apoptosis Regulatory ProteinsTumor Suppressor Protein p53ApoptosisCrystallographyProtein BindingApoptosis Regulatory ProteinsTumor Suppressor Protein p53

Identifiers

PMID38324587
PMCPMC10878502
OpenAlexW4391594188

What OpenQuestion holds

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LicenceCC BY
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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.