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Scaling‐up a fragment‐based protein–protein interaction method using a human reference interaction set
Protein–protein interactions (PPIs) are essential in understanding numerous aspects of protein function. Here, we significantly scaled and modified analyses of the recently developed all‐vs‐all sequencing (AVA‐Seq) approach using a gold‐standard human protein interaction set (hsPRS‐v2) containing 98...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299658/ https://www.ncbi.nlm.nih.gov/pubmed/34850971 http://dx.doi.org/10.1002/prot.26288 |
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author | Schaefer‐Ramadan, Stephanie Aleksic, Jovana Al‐Thani, Nayra M. Mohamoud, Yasmin A. Hill, David E. Malek, Joel A. |
author_facet | Schaefer‐Ramadan, Stephanie Aleksic, Jovana Al‐Thani, Nayra M. Mohamoud, Yasmin A. Hill, David E. Malek, Joel A. |
author_sort | Schaefer‐Ramadan, Stephanie |
collection | PubMed |
description | Protein–protein interactions (PPIs) are essential in understanding numerous aspects of protein function. Here, we significantly scaled and modified analyses of the recently developed all‐vs‐all sequencing (AVA‐Seq) approach using a gold‐standard human protein interaction set (hsPRS‐v2) containing 98 proteins. Binary interaction analyses recovered 20 of 47 (43%) binary PPIs from this positive reference set (PRS), comparing favorably with other methods. However, the increase of 20× in the interaction search space for AVA‐Seq analysis in this manuscript resulted in numerous changes to the method required for future use in genome‐wide interaction studies. We show that standard sequencing analysis methods must be modified to consider the possible recovery of thousands of positives among millions of tested interactions in a single sequencing run. The PRS data were used to optimize data scaling, auto‐activator removal, rank interaction features (such as orientation and unique fragment pairs), and statistical cutoffs. Using these modifications to the method, AVA‐Seq recovered >500 known and novel PPIs, including interactions between wild‐type fragments of tumor protein p53 and minichromosome maintenance complex proteins 2 and 5 (MCM2 and MCM5) that could be of interest in human disease. |
format | Online Article Text |
id | pubmed-9299658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92996582022-07-21 Scaling‐up a fragment‐based protein–protein interaction method using a human reference interaction set Schaefer‐Ramadan, Stephanie Aleksic, Jovana Al‐Thani, Nayra M. Mohamoud, Yasmin A. Hill, David E. Malek, Joel A. Proteins Research Articles Protein–protein interactions (PPIs) are essential in understanding numerous aspects of protein function. Here, we significantly scaled and modified analyses of the recently developed all‐vs‐all sequencing (AVA‐Seq) approach using a gold‐standard human protein interaction set (hsPRS‐v2) containing 98 proteins. Binary interaction analyses recovered 20 of 47 (43%) binary PPIs from this positive reference set (PRS), comparing favorably with other methods. However, the increase of 20× in the interaction search space for AVA‐Seq analysis in this manuscript resulted in numerous changes to the method required for future use in genome‐wide interaction studies. We show that standard sequencing analysis methods must be modified to consider the possible recovery of thousands of positives among millions of tested interactions in a single sequencing run. The PRS data were used to optimize data scaling, auto‐activator removal, rank interaction features (such as orientation and unique fragment pairs), and statistical cutoffs. Using these modifications to the method, AVA‐Seq recovered >500 known and novel PPIs, including interactions between wild‐type fragments of tumor protein p53 and minichromosome maintenance complex proteins 2 and 5 (MCM2 and MCM5) that could be of interest in human disease. John Wiley & Sons, Inc. 2021-12-13 2022-04 /pmc/articles/PMC9299658/ /pubmed/34850971 http://dx.doi.org/10.1002/prot.26288 Text en © 2021 The Authors. Proteins: Structure, Function, and Bioinformatics published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Schaefer‐Ramadan, Stephanie Aleksic, Jovana Al‐Thani, Nayra M. Mohamoud, Yasmin A. Hill, David E. Malek, Joel A. Scaling‐up a fragment‐based protein–protein interaction method using a human reference interaction set |
title | Scaling‐up a fragment‐based protein–protein interaction method using a human reference interaction set |
title_full | Scaling‐up a fragment‐based protein–protein interaction method using a human reference interaction set |
title_fullStr | Scaling‐up a fragment‐based protein–protein interaction method using a human reference interaction set |
title_full_unstemmed | Scaling‐up a fragment‐based protein–protein interaction method using a human reference interaction set |
title_short | Scaling‐up a fragment‐based protein–protein interaction method using a human reference interaction set |
title_sort | scaling‐up a fragment‐based protein–protein interaction method using a human reference interaction set |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299658/ https://www.ncbi.nlm.nih.gov/pubmed/34850971 http://dx.doi.org/10.1002/prot.26288 |
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