Evidence map›Paper›PMID 24587223›Full record

ArticlePloS one2014

De novo peptide design and experimental validation of histone methyltransferase inhibitors.

James Smadbeck, Meghan B Peterson, Barry M Zee, Shivani Garapaty, Aashna Mago, Christina Lee, Athanassios Giannis, Patrick Trojer, Benjamin A Garcia, Christodoulos A Floudas

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  9. Computer-aided Molecular Design of Compounds Targeting Histone Modifying Enzymes.Computational and structural biotechnology journal · 2015
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

James SmadbeckDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey, United States of America.
Meghan B PetersonDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey, United States of America.
Barry M ZeeDepartment of Molecular Biology, Princeton University, Princeton, New Jersey, United States of America.
Shivani GarapatyConstellation Pharmaceuticals, Cambridge, Massachusetts, United States of America.
Aashna MagoDepartment of Molecular Biology, Princeton University, Princeton, New Jersey, United States of America.
Christina LeeConstellation Pharmaceuticals, Cambridge, Massachusetts, United States of America.
Athanassios GiannisUniversity of Leipzig, Institute of Organic Chemistry, Leipzig, Germany.
Patrick TrojerConstellation Pharmaceuticals, Cambridge, Massachusetts, United States of America.
Benjamin A GarciaDepartment of Molecular Biology, Princeton University, Princeton, New Jersey, United States of America ; Department of Chemistry, Princeton University, Princeton, New Jersey, United States of America ; Epigenetics Program, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Christodoulos A FloudasDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey, United States of America.
Princeton University · USConstellation Pharmaceuticals (United States) · USLeipzig University · DE

Funding

Novel Methodology for Quantitative High-throughput Cancer EpigeneticsDP2OD007447 · OD · UNIVERSITY OF PENNSYLVANIA · PI GARCIA, BENJAMIN A · 2010 to 2010
$2.4M
STRUCTURE PREDICTION OF PEPTIDES VIA GLOBAL OPTIMIZATIONR01GM052032 · NIGMS · PRINCETON UNIVERSITY · PI FLOUDAS, CHRISTODOULOS ACHILLEUS · 1996 to 2011
$1.9M
NIGMS NIH HHS 5R01 GM052032NIGMS NIH HHS R01 GM052032NIH HHS DP2 OD007447NIH HHS DP2OD007447
6 · The paper itself

Abstract

Histones are small proteins critical to the efficient packaging of DNA in the nucleus. DNA-protein complexes, known as nucleosomes, are formed when the DNA winds itself around the surface of the histones. The methylation of histone residues by enhancer of zeste homolog 2 (EZH2) maintains gene repression over successive cell generations. Overexpression of EZH2 can silence important tumor suppressor genes leading to increased invasiveness of many types of cancers. This makes the inhibition of EZH2 an important target in the development of cancer therapeutics. We employed a three-stage computational de novo peptide design method to design inhibitory peptides of EZH2. The method consists of a sequence selection stage and two validation stages for fold specificity and approximate binding affinity. The sequence selection stage consists of an integer linear optimization model that was solved to produce a rank-ordered list of amino acid sequences with increased stability in the bound peptide-EZH2 structure. These sequences were validated through the calculation of the fold specificity and approximate binding affinity of the designed peptides. Here we report the discovery of novel EZH2 inhibitory peptides using the de novo peptide design method. The computationally discovered peptides were experimentally validated in vitro using dose titrations and mechanism of action enzymatic assays. The peptide with the highest in vitro response, SQ037, was validated in nucleo using quantitative mass spectrometry-based proteomics. This peptide had an IC50 of 13.5 [Formula: see text]M, demonstrated greater potency as an inhibitor when compared to the native and K27A mutant control peptides, and demonstrated competitive inhibition versus the peptide substrate. Additionally, this peptide demonstrated high specificity to the EZH2 target in comparison to other histone methyltransferases. The validated peptides are the first computationally designed peptides that directly inhibit EZH2. These inhibitors should prove useful for further chromatin biology investigations.

Indexed as

Drug DesignAmino Acid SequenceBinding, CompetitiveBinding SitesCell Line, TumorCell NucleusEnhancer of Zeste Homolog 2 ProteinHistone-Lysine N-MethyltransferaseHistone MethyltransferasesHistonesHumansKineticsLigandsMethylationMolecular Docking SimulationMolecular Sequence DataEnhancer of Zeste Homolog 2 ProteinEZH2 protein, humanHistone-Lysine N-MethyltransferaseHistone MethyltransferasesHistonesLigandsPeptidesPolycomb Repressive Complex 2

Identifiers

PMID24587223
PMCPMC3938834
OpenAlexW1966232493

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.