Literature DB >> 34878810

Current and Emerging Tools of Computational Biology To Improve the Detoxification of Mycotoxins.

Natalie Sandlin1, Darius Russell Kish1, John Kim1, Marco Zaccaria1, Babak Momeni1.   

Abstract

Biological organisms carry a rich potential for removing toxins from our environment, but identifying suitable candidates and improving them remain challenging. We explore the use of computational tools to discover strains and enzymes that detoxify harmful compounds. In particular, we focus on mycotoxins-fungus-produced toxins that contaminate food and feed-and biological enzymes that are capable of rendering them less harmful. We discuss the use of established and novel computational tools to complement existing empirical data in three directions: discovering the prospect of detoxification among underexplored organisms, finding important cellular processes that contribute to detoxification, and improving the performance of detoxifying enzymes. We hope to create a synergistic conversation between researchers in computational biology and those in the bioremediation field. We showcase open bioremediation questions where computational researchers can contribute and highlight relevant existing and emerging computational tools that could benefit bioremediation researchers.

Entities:  

Keywords:  biodegradation; bioinformatics; bioremediation; computational biology; enzymes; exoenzymes; mycotoxins; toxins

Mesh:

Substances:

Year:  2021        PMID: 34878810      PMCID: PMC8824263          DOI: 10.1128/AEM.02102-21

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   5.005


  128 in total

1.  Prediction of signal peptides and signal anchors by a hidden Markov model.

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2.  Ensemble learning of coarse-grained molecular dynamics force fields with a kernel approach.

Authors:  Jiang Wang; Stefan Chmiela; Klaus-Robert Müller; Frank Noé; Cecilia Clementi
Journal:  J Chem Phys       Date:  2020-05-21       Impact factor: 3.488

3.  Lactic Acid Bacteria as Antifungal and Anti-Mycotoxigenic Agents: A Comprehensive Review.

Authors:  Faizan Ahmed Sadiq; Bowen Yan; Fengwei Tian; Jianxin Zhao; Hao Zhang; Wei Chen
Journal:  Compr Rev Food Sci Food Saf       Date:  2019-08-13       Impact factor: 12.811

4.  Deoxynivalenol and its toxicity.

Authors:  Pavlina Sobrova; Vojtech Adam; Anna Vasatkova; Miroslava Beklova; Ladislav Zeman; Rene Kizek
Journal:  Interdiscip Toxicol       Date:  2010-09

5.  Biodegradation of ochratoxin A by Pediococcus parvulus isolated from Douro wines.

Authors:  Luís Abrunhosa; António Inês; Ana I Rodrigues; Ana Guimarães; Vânia L Pereira; Pier Parpot; Arlete Mendes-Faia; Armando Venâncio
Journal:  Int J Food Microbiol       Date:  2014-07-23       Impact factor: 5.277

6.  Oxidase or peptidase? A computational insight into a putative aflatoxin oxidase from Armillariella tabescens.

Authors:  Marko Tomin; Sanja Tomić
Journal:  Proteins       Date:  2019-02-01

7.  Degradation of Aflatoxins by Means of Laccases from Trametes versicolor: An In Silico Insight.

Authors:  Luca Dellafiora; Gianni Galaverna; Massimo Reverberi; Chiara Dall'Asta
Journal:  Toxins (Basel)       Date:  2017-01-01       Impact factor: 4.546

8.  Transcriptome profile of Corynebacterium pseudotuberculosis in response to iron limitation.

Authors:  Izabela Coimbra Ibraim; Mariana Teixeira Dornelles Parise; Doglas Parise; Michelle Zibetti Tadra Sfeir; Thiago Luiz de Paula Castro; Alice Rebecca Wattam; Preetam Ghosh; Debmalya Barh; Emannuel Maltempi Souza; Aristóteles Góes-Neto; Anne Cybelle Pinto Gomide; Vasco Azevedo
Journal:  BMC Genomics       Date:  2019-08-20       Impact factor: 3.969

9.  An In Silico Target Fishing Approach to Identify Novel Ochratoxin A Hydrolyzing Enzyme.

Authors:  Luca Dellafiora; Christoph Gonaus; Barbara Streit; Gianni Galaverna; Wulf-Dieter Moll; Gudrun Vogtentanz; Gerd Schatzmayr; Chiara Dall'Asta; Shreenath Prasad
Journal:  Toxins (Basel)       Date:  2020-04-16       Impact factor: 4.546

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