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Discovery of High-Affinity Protein Binding Ligands – Backwards

BACKGROUND: There is a pressing need for high-affinity protein binding ligands for all proteins in the human and other proteomes. Numerous groups are working to develop protein binding ligands but most approaches develop ligands using the same strategy in which a large library of structured ligands...

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Autores principales: Diehnelt, Chris W., Shah, Miti, Gupta, Nidhi, Belcher, Paul E., Greving, Matthew P., Stafford, Phillip, Johnston, Stephen Albert
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873402/
https://www.ncbi.nlm.nih.gov/pubmed/20502719
http://dx.doi.org/10.1371/journal.pone.0010728
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author Diehnelt, Chris W.
Shah, Miti
Gupta, Nidhi
Belcher, Paul E.
Greving, Matthew P.
Stafford, Phillip
Johnston, Stephen Albert
author_facet Diehnelt, Chris W.
Shah, Miti
Gupta, Nidhi
Belcher, Paul E.
Greving, Matthew P.
Stafford, Phillip
Johnston, Stephen Albert
author_sort Diehnelt, Chris W.
collection PubMed
description BACKGROUND: There is a pressing need for high-affinity protein binding ligands for all proteins in the human and other proteomes. Numerous groups are working to develop protein binding ligands but most approaches develop ligands using the same strategy in which a large library of structured ligands is screened against a protein target to identify a high-affinity ligand for the target. While this methodology generates high-affinity ligands for the target, it is generally an iterative process that can be difficult to adapt for the generation of ligands for large numbers of proteins. METHODOLOGY/PRINCIPAL FINDINGS: We have developed a class of peptide-based protein ligands, called synbodies, which allow this process to be run backwards – i.e. make a synbody and then screen it against a library of proteins to discover the target. By screening a synbody against an array of 8,000 human proteins, we can identify which protein in the library binds the synbody with high affinity. We used this method to develop a high-affinity synbody that specifically binds AKT1 with a K(d)<5 nM. It was found that the peptides that compose the synbody bind AKT1 with low micromolar affinity, implying that the affinity and specificity is a product of the bivalent interaction of the synbody with AKT1. We developed a synbody for another protein, ABL1 using the same method. CONCLUSIONS/SIGNIFICANCE: This method delivered a high-affinity ligand for a target protein in a single discovery step. This is in contrast to other techniques that require subsequent rounds of mutational improvement to yield nanomolar ligands. As this technique is easily scalable, we believe that it could be possible to develop ligands to all the proteins in any proteome using this approach.
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spelling pubmed-28734022010-05-25 Discovery of High-Affinity Protein Binding Ligands – Backwards Diehnelt, Chris W. Shah, Miti Gupta, Nidhi Belcher, Paul E. Greving, Matthew P. Stafford, Phillip Johnston, Stephen Albert PLoS One Research Article BACKGROUND: There is a pressing need for high-affinity protein binding ligands for all proteins in the human and other proteomes. Numerous groups are working to develop protein binding ligands but most approaches develop ligands using the same strategy in which a large library of structured ligands is screened against a protein target to identify a high-affinity ligand for the target. While this methodology generates high-affinity ligands for the target, it is generally an iterative process that can be difficult to adapt for the generation of ligands for large numbers of proteins. METHODOLOGY/PRINCIPAL FINDINGS: We have developed a class of peptide-based protein ligands, called synbodies, which allow this process to be run backwards – i.e. make a synbody and then screen it against a library of proteins to discover the target. By screening a synbody against an array of 8,000 human proteins, we can identify which protein in the library binds the synbody with high affinity. We used this method to develop a high-affinity synbody that specifically binds AKT1 with a K(d)<5 nM. It was found that the peptides that compose the synbody bind AKT1 with low micromolar affinity, implying that the affinity and specificity is a product of the bivalent interaction of the synbody with AKT1. We developed a synbody for another protein, ABL1 using the same method. CONCLUSIONS/SIGNIFICANCE: This method delivered a high-affinity ligand for a target protein in a single discovery step. This is in contrast to other techniques that require subsequent rounds of mutational improvement to yield nanomolar ligands. As this technique is easily scalable, we believe that it could be possible to develop ligands to all the proteins in any proteome using this approach. Public Library of Science 2010-05-19 /pmc/articles/PMC2873402/ /pubmed/20502719 http://dx.doi.org/10.1371/journal.pone.0010728 Text en Diehnelt et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Diehnelt, Chris W.
Shah, Miti
Gupta, Nidhi
Belcher, Paul E.
Greving, Matthew P.
Stafford, Phillip
Johnston, Stephen Albert
Discovery of High-Affinity Protein Binding Ligands – Backwards
title Discovery of High-Affinity Protein Binding Ligands – Backwards
title_full Discovery of High-Affinity Protein Binding Ligands – Backwards
title_fullStr Discovery of High-Affinity Protein Binding Ligands – Backwards
title_full_unstemmed Discovery of High-Affinity Protein Binding Ligands – Backwards
title_short Discovery of High-Affinity Protein Binding Ligands – Backwards
title_sort discovery of high-affinity protein binding ligands – backwards
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873402/
https://www.ncbi.nlm.nih.gov/pubmed/20502719
http://dx.doi.org/10.1371/journal.pone.0010728
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