Evidence map›Paper›PMID 26854535›Full record

ArticleACS chemical biology2016

Rapid Optimization of Mcl-1 Inhibitors using Stapled Peptide Libraries Including Non-Natural Side Chains.

Raheleh Rezaei Araghi, Jeremy A Ryan, Anthony Letai, Amy E Keating

Abstract read
In one paragraph

Article in ACS chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
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

18 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Review
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  8. Article
  9. Nonproteinogenic deep mutational scanning of linear and cyclic peptides.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  10. Differential Effects of βAngewandte Chemie (International ed. in English) · 2018
    Article
  11. Review
  12. Iterative optimization yields Mcl-1-targeting stapled peptides with selective cytotoxicity to Mcl-1-dependent cancer cells.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Review
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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 at 2 institutions in 1 country.

Raheleh Rezaei AraghiDepartment of Biology, Massachusetts Institute of Technology , 77 Massachusetts Ave. Cambridge, Massachusetts 02139, United States.
Jeremy A RyanDepartment of Medical Oncology, Dana-Farber Cancer Institute , Boston, Massachusetts 02215, United States.
Anthony LetaiDepartment of Medical Oncology, Dana-Farber Cancer Institute , Boston, Massachusetts 02215, United States.
Amy E KeatingDepartment of Biology, Massachusetts Institute of Technology , 77 Massachusetts Ave. Cambridge, Massachusetts 02139, United States.
Dana-Farber Cancer Institute · USMassachusetts Institute of Technology · US

Funding

Computationally guided design of helical peptide interaction reagentsR01GM110048 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KEATING, AMY E · 2014 to 2020
$1.8M
Acquisition of Octet Biolayer Interferometry system for MIT biophysics facilityS10OD016326 · OD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI IMPERIALI, BARBARA · 2014 to 2014
$180k
NIGMS NIH HHS R01 GM110048NIH HHS S10 OD016326
6 · The paper itself

Abstract

Alpha helices form a critical part of the binding interface for many protein-protein interactions, and chemically stabilized synthetic helical peptides can be effective inhibitors of such helix-mediated complexes. In particular, hydrocarbon stapling of peptides to generate constrained helices can improve binding affinity and other peptide properties, but determining the best stapled peptide variant often requires laborious trial and error. Here, we describe the rapid discovery and optimization of a stapled-helix peptide that binds to Mcl-1, an antiapoptotic protein that is overexpressed in many chemoresistant cancers. To accelerate discovery, we developed a peptide library synthesis and screening scheme capable of identifying subtle affinity differences among Mcl-1-binding stapled peptides. We used our method to sample combinations of non-natural amino-acid substitutions that we introduced into Mcl-1 inhibitors in the context of a fixed helix-stabilizing hydrocarbon staple that increased peptide helical content and reduced proteolysis. Peptides discovered in our screen contained surprising substitutions at sites that are conserved in natural binding partners. Library-identified peptide M3d is the most potent molecule yet tested for selectively triggering mitochondrial permeabilization in Mcl-1 dependent cell lines. Our library approach for optimizing helical peptide inhibitors can be readily applied to the study of other biomedically important targets.

Indexed as

Amino Acid SequenceAnimalsCell Line, TumorDrug DiscoveryHumansMiceMitochondrial MembranesMolecular Docking SimulationMyeloid Cell Leukemia Sequence 1 ProteinPeptide LibraryPeptidesProtein Structure, SecondaryMCL1 protein, humanMyeloid Cell Leukemia Sequence 1 ProteinPeptide LibraryPeptides

Identifiers

PMID26854535
PMCPMC4874891
OpenAlexW2284417983

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.