Evidence map›Paper›PMID 28694951›Full record

ArticleChemical science2015

Large ring-forming alkylations provide facile access to composite macrocycles.

Tristan E Rose, Kenneth V Lawson, Patrick G Harran

Abstract read
In one paragraph

Article in Chemical science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Computational generation of an annotated gigalibrary of synthesizable, composite peptidic macrocycles.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  3. Article
  4. Article
  5. 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.

Tristan E RoseDepartment of Chemistry and Biochemistry , University of California Los Angeles , 607 Charles E. Young Drive East , Los Angeles , USA . Email: harran@chem.ucla.edu.
Kenneth V LawsonDepartment of Chemistry and Biochemistry , University of California Los Angeles , 607 Charles E. Young Drive East , Los Angeles , USA . Email: harran@chem.ucla.edu.
Patrick G HarranDepartment of Chemistry and Biochemistry , University of California Los Angeles , 607 Charles E. Young Drive East , Los Angeles , USA . Email: harran@chem.ucla.edu.

Funding

Structure guided discovery of small molecule antagonists of Smac (DIABLO)/XIPAP01CA095471 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MCKNIGHT, STEVEN L · 2002 to 2011
$34.1M
NCI NIH HHS P01 CA095471
6 · The paper itself

Abstract

Macrocyclic compounds have potential to enable drug discovery for protein targets with extended, solvent-exposed binding sites. Crystallographic structures of peptides bound at such sites show strong surface complementarity and frequent aromatic side-chain contacts. In an effort to capture these features in stabilized small molecules, we describe a method to convert linear peptides into constrained macrocycles based upon their aromatic content. Designed templates initiate the venerable Friedel-Crafts alkylation to form large rings efficiently at room temperature - routinely within minutes - and unimpeded by polar functional groups. No protecting groups, metals, or air-free techniques are required. Regiochemistry can be tuned electronically to explore diverse macrocycle connectivities. Templates with additional reaction capabilities can further manipulate macrocycle structure. The chemistry lays a foundation to extend studies of how the size, shape and constitution of peptidyl macrocycles correlate with their pharmacological properties.

Identifiers

PMID28694951
PMCPMC5485560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.