Evidence map›Paper›PMID 28236243›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2017

Identifying Loop-Mediated Protein-Protein Interactions Using LoopFinder.

Timothy R Siegert, Michael Bird, Joshua A Kritzer

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Small-Molecule Trk Agonists: Where Do We Go from Here?Journal of medicinal chemistry · 2025
    Review
  2. Selective Modulation of Trk Receptors byACS chemical neuroscience · 2025
    Article
  3. Article
  4. Article
  5. Computational Design of Structured and Functional Peptide Macrocycles.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  6. Review
  7. 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

3 authors.

Timothy R SiegertDepartment of Chemistry, Tufts University, 62 Talbot Ave., Medford, MA, 02155, USA.
Michael BirdDepartment of Chemistry, Tufts University, 62 Talbot Ave., Medford, MA, 02155, USA.
Joshua A KritzerDepartment of Chemistry, Tufts University, 62 Talbot Ave., Medford, MA, 02155, USA. joshua.kritzer@tufts.edu.

Funding

Drugging the Undruggable: Targeting Transcription Factors with Small Cyclic PeptDP2OD007303 · OD · TUFTS UNIVERSITY MEDFORD · PI KRITZER, JOSHUA A · 2010 to 2010
$2.3M
NIH HHS DP2 OD007303
6 · The paper itself

Abstract

Peptides are an increasingly useful class of molecules, finding unique applications as chemical probes and potential drugs. They are particularly adept at inhibiting protein-protein interactions, which are often difficult to target using small molecules. The identification and rational design of protein-binding epitopes remains a bottleneck in the development of bioactive peptides. One fruitful strategy has been using structured scaffolds to present essential hot spot residues involved in protein-protein recognition, and this process has been greatly advanced by computational tools that can identify hot spot residues. Here we discuss LoopFinder, a program that uses structures from the Protein Data Bank to comprehensively search for protein-protein interactions that are mediated by nonhelical, nonsheet loop structures. We developed LoopFinder to identify these "hot loops" and to assist in the design of cyclic peptides that mimic these important structures. In this article, we provide all key files, outline step-by-step methods for users to conduct independent LoopFinder searches, and provide guidance on additional potential applications for the LoopFinder program.

Indexed as

AlgorithmsDrug DesignProtein Interaction MapsBinding SitesComputational BiologyHumansModels, MolecularPeptide FragmentsProtein BindingProtein ConformationProteinsPeptide FragmentsProteinsChemical biologyCyclic peptidesInhibitorsMacrocyclesPeptide designProtein–protein interactions

Identifiers

PMID28236243
PMCPMC13560769

What OpenQuestion holds

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Registered trials

None linked

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.