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Proteus: An algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3D structures

BACKGROUND: Protein engineering has many applications for industry, such as the development of new drugs, vaccines, treatment therapies, food, and biofuel production. A common way to engineer a protein is to perform mutations in functionally essential residues to optimize their function. However, th...

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Autores principales: Barroso, José Renato M. S., Mariano, Diego, Dias, Sandro R., Rocha, Rafael E. O., Santos, Lucianna H., Nagem, Ronaldo A. P., de Melo-Minardi, Raquel C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330979/
https://www.ncbi.nlm.nih.gov/pubmed/32611389
http://dx.doi.org/10.1186/s12859-020-03575-6
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author Barroso, José Renato M. S.
Mariano, Diego
Dias, Sandro R.
Rocha, Rafael E. O.
Santos, Lucianna H.
Nagem, Ronaldo A. P.
de Melo-Minardi, Raquel C.
author_facet Barroso, José Renato M. S.
Mariano, Diego
Dias, Sandro R.
Rocha, Rafael E. O.
Santos, Lucianna H.
Nagem, Ronaldo A. P.
de Melo-Minardi, Raquel C.
author_sort Barroso, José Renato M. S.
collection PubMed
description BACKGROUND: Protein engineering has many applications for industry, such as the development of new drugs, vaccines, treatment therapies, food, and biofuel production. A common way to engineer a protein is to perform mutations in functionally essential residues to optimize their function. However, the discovery of beneficial mutations for proteins is a complex task, with a time-consuming and high cost for experimental validation. Hence, computational approaches have been used to propose new insights for experiments narrowing the search space and reducing the costs. RESULTS: In this study, we developed Proteus (an acronym for Protein Engineering Supporter), a new algorithm for proposing mutation pairs in a target 3D structure. These suggestions are based on contacts observed in other known structures from Protein Data Bank (PDB). Proteus’ basic assumption is that if a non-interacting pair of amino acid residues in the target structure is exchanged to an interacting pair, this could enhance protein stability. This trade is only allowed if the main-chain conformation of the residues involved in the contact is conserved. Furthermore, no steric impediment is expected between the proposed mutations and the surrounding protein atoms. To evaluate Proteus, we performed two case studies with proteins of industrial interests. In the first case study, we evaluated if the mutations suggested by Proteus for four protein structures enhance the number of inter-residue contacts. Our results suggest that most mutations proposed by Proteus increase the number of interactions into the protein. In the second case study, we used Proteus to suggest mutations for a lysozyme protein. Then, we compared Proteus’ outcomes to mutations with available experimental evidence reported in the ProTherm database. Four mutations, in which our results agree with the experimental data, were found. This could be initial evidence that changes in the side-chain of some residues do not cause disturbances that harm protein structure stability. CONCLUSION: We believe that Proteus could be used combined with other methods to give new insights into the rational development of engineered proteins. Proteus user-friendly web-based tool is available at <http://proteus.dcc.ufmg.br>.
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spelling pubmed-73309792020-07-02 Proteus: An algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3D structures Barroso, José Renato M. S. Mariano, Diego Dias, Sandro R. Rocha, Rafael E. O. Santos, Lucianna H. Nagem, Ronaldo A. P. de Melo-Minardi, Raquel C. BMC Bioinformatics Software BACKGROUND: Protein engineering has many applications for industry, such as the development of new drugs, vaccines, treatment therapies, food, and biofuel production. A common way to engineer a protein is to perform mutations in functionally essential residues to optimize their function. However, the discovery of beneficial mutations for proteins is a complex task, with a time-consuming and high cost for experimental validation. Hence, computational approaches have been used to propose new insights for experiments narrowing the search space and reducing the costs. RESULTS: In this study, we developed Proteus (an acronym for Protein Engineering Supporter), a new algorithm for proposing mutation pairs in a target 3D structure. These suggestions are based on contacts observed in other known structures from Protein Data Bank (PDB). Proteus’ basic assumption is that if a non-interacting pair of amino acid residues in the target structure is exchanged to an interacting pair, this could enhance protein stability. This trade is only allowed if the main-chain conformation of the residues involved in the contact is conserved. Furthermore, no steric impediment is expected between the proposed mutations and the surrounding protein atoms. To evaluate Proteus, we performed two case studies with proteins of industrial interests. In the first case study, we evaluated if the mutations suggested by Proteus for four protein structures enhance the number of inter-residue contacts. Our results suggest that most mutations proposed by Proteus increase the number of interactions into the protein. In the second case study, we used Proteus to suggest mutations for a lysozyme protein. Then, we compared Proteus’ outcomes to mutations with available experimental evidence reported in the ProTherm database. Four mutations, in which our results agree with the experimental data, were found. This could be initial evidence that changes in the side-chain of some residues do not cause disturbances that harm protein structure stability. CONCLUSION: We believe that Proteus could be used combined with other methods to give new insights into the rational development of engineered proteins. Proteus user-friendly web-based tool is available at <http://proteus.dcc.ufmg.br>. BioMed Central 2020-07-01 /pmc/articles/PMC7330979/ /pubmed/32611389 http://dx.doi.org/10.1186/s12859-020-03575-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Barroso, José Renato M. S.
Mariano, Diego
Dias, Sandro R.
Rocha, Rafael E. O.
Santos, Lucianna H.
Nagem, Ronaldo A. P.
de Melo-Minardi, Raquel C.
Proteus: An algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3D structures
title Proteus: An algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3D structures
title_full Proteus: An algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3D structures
title_fullStr Proteus: An algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3D structures
title_full_unstemmed Proteus: An algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3D structures
title_short Proteus: An algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3D structures
title_sort proteus: an algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3d structures
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330979/
https://www.ncbi.nlm.nih.gov/pubmed/32611389
http://dx.doi.org/10.1186/s12859-020-03575-6
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