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

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....

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Autores principales: Berger, Stephanie, Procko, Erik, Margineantu, Daciana, Lee, Erinna F, Shen, Betty W, Zelter, Alex, Silva, Daniel-Adriano, Chawla, Kusum, Herold, Marco J, Garnier, Jean-Marc, Johnson, Richard, MacCoss, Michael J, Lessene, Guillaume, Davis, Trisha N, Stayton, Patrick S, Stoddard, Barry L, Fairlie, W Douglas, Hockenbery, David M, Baker, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127641/
https://www.ncbi.nlm.nih.gov/pubmed/27805565
http://dx.doi.org/10.7554/eLife.20352
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author Berger, Stephanie
Procko, Erik
Margineantu, Daciana
Lee, Erinna F
Shen, Betty W
Zelter, Alex
Silva, Daniel-Adriano
Chawla, Kusum
Herold, Marco J
Garnier, Jean-Marc
Johnson, Richard
MacCoss, Michael J
Lessene, Guillaume
Davis, Trisha N
Stayton, Patrick S
Stoddard, Barry L
Fairlie, W Douglas
Hockenbery, David M
Baker, David
author_facet Berger, Stephanie
Procko, Erik
Margineantu, Daciana
Lee, Erinna F
Shen, Betty W
Zelter, Alex
Silva, Daniel-Adriano
Chawla, Kusum
Herold, Marco J
Garnier, Jean-Marc
Johnson, Richard
MacCoss, Michael J
Lessene, Guillaume
Davis, Trisha N
Stayton, Patrick S
Stoddard, Barry L
Fairlie, W Douglas
Hockenbery, David M
Baker, David
author_sort Berger, Stephanie
collection PubMed
description 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. DOI: http://dx.doi.org/10.7554/eLife.20352.001
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spelling pubmed-51276412016-11-30 Computationally designed high specificity inhibitors delineate the roles of BCL2 family proteins in cancer Berger, Stephanie Procko, Erik Margineantu, Daciana Lee, Erinna F Shen, Betty W Zelter, Alex Silva, Daniel-Adriano Chawla, Kusum Herold, Marco J Garnier, Jean-Marc Johnson, Richard MacCoss, Michael J Lessene, Guillaume Davis, Trisha N Stayton, Patrick S Stoddard, Barry L Fairlie, W Douglas Hockenbery, David M Baker, David eLife Cancer Biology 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. DOI: http://dx.doi.org/10.7554/eLife.20352.001 eLife Sciences Publications, Ltd 2016-11-02 /pmc/articles/PMC5127641/ /pubmed/27805565 http://dx.doi.org/10.7554/eLife.20352 Text en © 2016, Berger et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Cancer Biology
Berger, Stephanie
Procko, Erik
Margineantu, Daciana
Lee, Erinna F
Shen, Betty W
Zelter, Alex
Silva, Daniel-Adriano
Chawla, Kusum
Herold, Marco J
Garnier, Jean-Marc
Johnson, Richard
MacCoss, Michael J
Lessene, Guillaume
Davis, Trisha N
Stayton, Patrick S
Stoddard, Barry L
Fairlie, W Douglas
Hockenbery, David M
Baker, David
Computationally designed high specificity inhibitors delineate the roles of BCL2 family proteins in cancer
title Computationally designed high specificity inhibitors delineate the roles of BCL2 family proteins in cancer
title_full Computationally designed high specificity inhibitors delineate the roles of BCL2 family proteins in cancer
title_fullStr Computationally designed high specificity inhibitors delineate the roles of BCL2 family proteins in cancer
title_full_unstemmed Computationally designed high specificity inhibitors delineate the roles of BCL2 family proteins in cancer
title_short Computationally designed high specificity inhibitors delineate the roles of BCL2 family proteins in cancer
title_sort computationally designed high specificity inhibitors delineate the roles of bcl2 family proteins in cancer
topic Cancer Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127641/
https://www.ncbi.nlm.nih.gov/pubmed/27805565
http://dx.doi.org/10.7554/eLife.20352
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