Evidence map›Paper›PMID 31768230›Full record

ArticleComputational and structural biotechnology journal2019

Discovery of novel helix binding sites at protein-protein interfaces.

Wei Yang, Xiangyu Sun, Changsheng Zhang, Luhua Lai

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Mutation Edgotype Drives Fitness Effect in Human.Frontiers in bioinformatics · 2021
    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.

Wei YangBNLMS, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
Xiangyu SunBNLMS, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
Changsheng ZhangBNLMS, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
Luhua LaiBNLMS, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein interactions (PPIs) play a key role in numerous biological processes. Many efforts have been undertaken to develop PPI modulators for therapeutic applications; however, to date, most of the peptide binders designed to target PPIs are derived from native binding helices or using the native helix binding site, which has limited the applications of protein-protein interface binding peptide design. Here, we developed a general computational algorithm, HPer (Helix Positioner), that locates single-helix binding sites at protein-protein interfaces based on the structure of protein targets. HPer performed well on known single-helix-mediated PPIs and recaptured the key interactions and hot-spot residues of native helical binders. We also screened non-helical-mediated PPIs in the PDBbind database and identified 17 PPIs that were suitable for helical peptide binding, and the helical binding sites in these PPIs were also predicted for designing novel peptide ligands. The L2 domain of EGFR, which was the top ranked, was selected as an example to show the protocol and results of designing novel helical peptide ligands on the searched binding site. The binding stability of the designed sequences were further investigated using molecular dynamics simulations.

Indexed as

DSHP, Dataset of single helix-mediated protein-protein interactionsEGF, Epidermal growth factorEGFR, EGF receptorHelix designMD, molecular dynamicsPDB, Protein data bankPeptide designPME, Particle Mesh EwaldPPI, Protein-protein interactionsProtein designProtein-protein interactionRMSD, Root mean square deviationTNF, Tumor necrosis factor

Identifiers

PMID31768230
PMCPMC6872852

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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.