Evidence map›Paper›PMID 21964565›Full record

ArticleJournal of computer-aided molecular design2011

Characterization of PDZ domain-peptide interactions using an integrated protocol of QM/MM, PB/SA, and CFEA analyses.

Feifei Tian, Yonggang Lv, Peng Zhou, Li Yang

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In one paragraph

Article in Journal of computer-aided molecular design, 2011. 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

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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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Computer-aided design of amino acid-based therapeutics: a review.Drug design, development and therapy · 2018
    Review
  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.

Feifei TianKey Laboratory of Biorheological Science and Technology Under Ministry of Education, 111 Project Laboratory of Biomechanics and Tissue Repair, and Bioengineering College, Chongqing University, Chongqing 400044, China.
Yonggang Lv
Peng Zhou
Li Yang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein interactions, particularly weak and transient ones, are often mediated by peptide recognition domains. Characterizing the interaction interface of domain-peptide complexes and analyzing binding specificity for modular domains are critical for deciphering protein-protein interaction networks. In this article, we report the successful use of an integrated computational protocol to dissect the energetic profile and structural basis of peptide binding to third PDZ domain (PDZ3) from the PSD-95 protein. This protocol employs rigorous quantum mechanics/molecular mechanics (QM/MM), semi-empirical Poisson-Boltzmann/surface area (PB/SA), and empirical conformational free energy analysis (CFEA) to quantitatively describe and decompose systematic energy changes arising from, respectively, noncovalent interaction, desolvation effect, and conformational entropy loss associated with the formation of 30 affinity-known PDZ3-peptide complexes. We show that the QM/MM-, PB/SA-, and CFEA-derived energy components can work together fairly well in reproducing experimentally measured affinity after a linearly weighting treatment, albeit they are not compatible with each other directly. We also demonstrate that: (1) noncovalent interaction and desolvation effect donate, respectively, stability and specificity to complex architecture, while entropy loss contributes modestly to binding; (2) P(0) and P(-2) of peptide ligand are the most important positions for determining both the stability and specificity of the PDZ3-peptide complex, P(-1) and P(-3) can confer substantial stability (but not specificity) for the complex, and N-terminal P(-4) and P(-5) have only a very limited effect on binding.

Indexed as

EntropyPDZ DomainsProtein BindingBinding SitesHumansLigandsMolecular Dynamics SimulationPeptidesProtein Interaction MappingQuantum TheoryThermodynamicsLigandsPeptides

Identifiers

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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.