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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.
Afiliação
  • Barroso JRMS; Department of Computer Science, Laboratory of Bioinformatics and Systems, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil.
  • Mariano D; Department of Computer Science, Laboratory of Bioinformatics and Systems, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil. diegomariano@ufmg.br.
  • Dias SR; Departament of Computing, CEFET-MG, Belo Horizonte, 30510-000, Brazil.
  • Rocha REO; Department of Computer Science, Laboratory of Bioinformatics and Systems, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil.
  • Santos LH; Department of Computer Science, Laboratory of Bioinformatics and Systems, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil.
  • Nagem RAP; Department of Biochemistry and Immunology, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil. nagem@icb.ufmg.br.
  • de Melo-Minardi RC; Department of Computer Science, Laboratory of Bioinformatics and Systems, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil. raquelcm@dcc.ufmg.br.
BMC Bioinformatics ; 21(1): 275, 2020 Jul 01.
Article em En | MEDLINE | ID: mdl-32611389
ABSTRACT

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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interface Usuário-Computador / Proteínas Tipo de estudo: Prognostic_studies Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interface Usuário-Computador / Proteínas Tipo de estudo: Prognostic_studies Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil