Evidence map›Paper›PMID 27805565›Full record

ArticleeLife2016

Computationally designed high specificity inhibitors delineate the roles of BCL2 family proteins in cancer.

Stephanie Berger, Erik Procko, Daciana Margineantu, Erinna F Lee, Betty W Shen, Alex Zelter, Daniel-Adriano Silva, Kusum Chawla, Marco J Herold, Jean-Marc Garnier and 9 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

57 citing papers in PubMed, 87 citations in OpenAlex.

  1. RSC chemical biology · 2026
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  9. Intracellular delivery of proteins for live cell imaging.Journal of controlled release : official journal of the Controlled Release Society · 2025
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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

19 authors at 5 institutions in 2 countries.

Stephanie BergerDepartment of Bioengineering, University of Washington, Seattle, United States.ORCID 0000-0002-3738-5907
Erik ProckoDepartment of Biochemistry, University of Washington, Seattle, United States.
Daciana MargineantuClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, United States.
Erinna F LeeDepartment of Chemistry and Physics, LaTrobe Institute for Molecular Science, Melbourne, Australia.
Betty W ShenBasic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, United States.
Alex ZelterDepartment of Biochemistry, University of Washington, Seattle, United States.
Daniel-Adriano SilvaDepartment of Biochemistry, University of Washington, Seattle, United States.
Kusum ChawlaClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, United States.
Marco J HeroldThe Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Jean-Marc GarnierThe Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Richard JohnsonDepartment of Genome Sciences, University of Washington, Seattle, United States.
Michael J MacCossDepartment of Genome Sciences, University of Washington, Seattle, United States.
Guillaume LesseneThe Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.ORCID 0000-0002-1193-8147
Trisha N DavisDepartment of Biochemistry, University of Washington, Seattle, United States.ORCID 0000-0003-4797-3152
Patrick S StaytonDepartment of Bioengineering, University of Washington, Seattle, United States.
Barry L StoddardBasic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, United States.
W Douglas FairlieDepartment of Chemistry and Physics, LaTrobe Institute for Molecular Science, Melbourne, Australia.
David M HockenberyClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, United States.
David BakerDepartment of Biochemistry, University of Washington, Seattle, United States.ORCID 0000-0001-7896-6217
University of Washington · USFred Hutch Cancer Center · USThe University of Melbourne · AUHoward Hughes Medical Institute · USUniversity of Illinois Urbana-Champaign · US

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
Metabolism, protein and miRNA cross-talk in cell cycle and tumor progressionR01CA158921 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HOCKENBERY, DAVID M. · 2012 to 2016
$1.8M
Determination of the basis of ligand binding via engineering and crystallographyR01GM115545 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI STODDARD, BARRY L. · 2015 to 2018
$1.4M
Howard Hughes Medical InstituteNCI NIH HHS R01 CA158921NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R01 GM115545Worldwide Cancer Research 15-0025
6 · The paper itself

Abstract

Many cancers overexpress one or more of the six human pro-survival BCL2 family proteins to evade apoptosis. To determine which BCL2 protein or proteins block apoptosis in different cancers, we computationally designed three-helix bundle protein inhibitors specific for each BCL2 pro-survival protein. Following in vitro optimization, each inhibitor binds its target with high picomolar to low nanomolar affinity and at least 300-fold specificity. Expression of the designed inhibitors in human cancer cell lines revealed unique dependencies on BCL2 proteins for survival which could not be inferred from other BCL2 profiling methods. Our results show that designed inhibitors can be generated for each member of a closely-knit protein family to probe the importance of specific protein-protein interactions in complex biological processes.

Indexed as

ApoptosisComputational BiologyGene Expression Regulation, NeoplasticHumansNeoplasmsProtein Structure, SecondaryProto-Oncogene Proteins c-bcl-2Proto-Oncogene Proteins c-bcl-2Bcl-2cancercancer biologycomputational biologycomputational protein designhumansystems biology

Identifiers

PMID27805565
PMCPMC5127641
OpenAlexW2546846550

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.