Evidence map›Paper›PMID 25038790›Full record

ArticleNature chemical biology2014

How proteins bind macrocycles.

Elizabeth A Villar, Dmitri Beglov, Spandan Chennamadhavuni, John A Porco, Dima Kozakov, Sandor Vajda, Adrian Whitty

Abstract read
In one paragraph

Article in Nature chemical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers.

0numbers the graph read from it
0cells of the map it votes in
174citing 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

174 citing papers in PubMed.

  1. Article
  2. Organocatalytic Enantioselective Divergent Synthesis of Pillar[5]Arenes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
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  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Molecular chameleons adaptability in target binding.Structural dynamics (Melville, N.Y.) · 2025
    Article
  12. A Sydnonimine-based Click-and-Release Approach to Cyclic Products.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

114 more citing papers are in PubMed but not listed here.

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

7 authors.

Elizabeth A VillarDepartment of Chemistry, Boston University, Boston, Massachusetts, USA.
Dmitri BeglovDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Spandan ChennamadhavuniDepartment of Chemistry, Boston University, Boston, Massachusetts, USA.
John A PorcoDepartment of Chemistry, Boston University, Boston, Massachusetts, USA.
Dima KozakovDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Sandor Vajda1] Department of Chemistry, Boston University, Boston, Massachusetts, USA. [2] Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Adrian WhittyDepartment of Chemistry, Boston University, Boston, Massachusetts, USA.

Funding

Computational mapping of proteins for the binding of ligandsR01GM064700 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI VAJDA, SANDOR · 2003 to 2015
$4.3M
Design of Macrocyclic Inhibitors of the NEMO/IKKa/b Protein-Protein InteractionR01GM094551 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI WHITTY, ADRIAN · 2010 to 2013
$1.7M
NIGMS NIH HHS GM064700NIGMS NIH HHS GM094551NIGMS NIH HHS GM094551-01S1NIGMS NIH HHS R01 GM064700NIGMS NIH HHS R01 GM094551
6 · The paper itself

Abstract

The potential utility of synthetic macrocycles (MCs) as drugs, particularly against low-druggability targets such as protein-protein interactions, has been widely discussed. There is little information, however, to guide the design of MCs for good target protein-binding activity or bioavailability. To address this knowledge gap, we analyze the binding modes of a representative set of MC-protein complexes. The results, combined with consideration of the physicochemical properties of approved macrocyclic drugs, allow us to propose specific guidelines for the design of synthetic MC libraries with structural and physicochemical features likely to favor strong binding to protein targets as well as good bioavailability. We additionally provide evidence that large, natural product-derived MCs can bind targets that are not druggable by conventional, drug-like compounds, supporting the notion that natural product-inspired synthetic MCs can expand the number of proteins that are druggable by synthetic small molecules.

Indexed as

Binding SitesBiological AvailabilityCrystallography, X-RayDrug DesignMacrocyclic CompoundsMass SpectrometryModels, MolecularMolecular WeightPharmaceutical PreparationsProtein BindingProteinsSmall Molecule LibrariesMacrocyclic CompoundsPharmaceutical PreparationsProteinsSmall Molecule Libraries

Identifiers

PMID25038790
PMCPMC4417626

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.