Designing a bioremediator: mechanistic models guide cellular and molecular specialization.


Journal

Current opinion in biotechnology
ISSN: 1879-0429
Titre abrégé: Curr Opin Biotechnol
Pays: England
ID NLM: 9100492

Informations de publication

Date de publication:
04 2020
Historique:
received: 27 06 2019
revised: 22 08 2019
accepted: 06 09 2019
pubmed: 23 10 2019
medline: 24 10 2020
entrez: 23 10 2019
Statut: ppublish

Résumé

Bioremediators are cells or non-living subcellular entities of biological origin employed to degrade target pollutants. Rational, mechanistic design can substantially improve the performance of bioremediators for applications, including waste treatment and food safety. We highlight how such improvements can be informed at the cellular level by theoretical observations especially in the context of phenotype plasticity, cell signaling, and community assembly. At the molecular level, we suggest enzyme design using techniques such as Small Angle Neutron Scattering and Density Functional Theory. To provide an example of how these techniques could be synergistically combined, we present the case-study of the interaction of the enzyme laccase with the food contaminant aflatoxin B

Identifiants

pubmed: 31639619
pii: S0958-1669(19)30075-8
doi: 10.1016/j.copbio.2019.09.006
pii:
doi:

Substances chimiques

Aflatoxin B1 9N2N2Y55MH
Laccase EC 1.10.3.2

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

98-105

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Marco Zaccaria (M)

Department of Biology, Boston College, Chestnut Hill, MA, United States.

William Dawson (W)

RIKEN Center for Computational Science, Kobe, Japan.

Viviana Cristiglio (V)

Institut Laue-Langevin, Grenoble, France.

Massimo Reverberi (M)

Department of Environmental Biology, "Sapienza" Università di Roma, Rome, Italy.

Laura E Ratcliff (LE)

Department of Materials, Imperial College, London, United Kingdom.

Takahito Nakajima (T)

RIKEN Center for Computational Science, Kobe, Japan.

Luigi Genovese (L)

CEA, MEM, L-Sim, Université Grenoble-Alpes, Grenoble, France.

Babak Momeni (B)

Department of Biology, Boston College, Chestnut Hill, MA, United States. Electronic address: momeni@bc.edu.

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Classifications MeSH