1
|
Fansher D, Besna JN, Fendri A, Pelletier JN. Choose Your Own Adventure: A Comprehensive Database of Reactions Catalyzed by Cytochrome P450 BM3 Variants. ACS Catal 2024; 14:5560-5592. [PMID: 38660610 PMCID: PMC11036407 DOI: 10.1021/acscatal.4c00086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/11/2024] [Accepted: 03/12/2024] [Indexed: 04/26/2024]
Abstract
Cytochrome P450 BM3 monooxygenase is the topic of extensive research as many researchers have evolved this enzyme to generate a variety of products. However, the abundance of information on increasingly diversified variants of P450 BM3 that catalyze a broad array of chemistry is not in a format that enables easy extraction and interpretation. We present a database that categorizes variants by their catalyzed reactions and includes details about substrates to provide reaction context. This database of >1500 P450 BM3 variants is downloadable and machine-readable and includes instructions to maximize ease of gathering information. The database allows rapid identification of commonly reported substitutions, aiding researchers who are unfamiliar with the enzyme in identifying starting points for enzyme engineering. For those actively engaged in engineering P450 BM3, the database, along with this review, provides a powerful and user-friendly platform to understand, predict, and identify the attributes of P450 BM3 variants, encouraging the further engineering of this enzyme.
Collapse
Affiliation(s)
- Douglas
J. Fansher
- Chemistry
Department, Université de Montréal, Montreal, QC, Canada H2V 0B3
- PROTEO,
The Québec Network for Research on Protein Function, Engineering,
and Applications, 201
Av. du Président-Kennedy, Montréal, QC, Canada H2X 3Y7
- CGCC,
Center in Green Chemistry and Catalysis, Montreal, QC, Canada H2V 0B3
| | - Jonathan N. Besna
- PROTEO,
The Québec Network for Research on Protein Function, Engineering,
and Applications, 201
Av. du Président-Kennedy, Montréal, QC, Canada H2X 3Y7
- CGCC,
Center in Green Chemistry and Catalysis, Montreal, QC, Canada H2V 0B3
- Department
of Biochemistry and Molecular Medicine, Université de Montréal, Montreal, QC, Canada H3T 1J4
| | - Ali Fendri
- Chemistry
Department, Université de Montréal, Montreal, QC, Canada H2V 0B3
- PROTEO,
The Québec Network for Research on Protein Function, Engineering,
and Applications, 201
Av. du Président-Kennedy, Montréal, QC, Canada H2X 3Y7
- CGCC,
Center in Green Chemistry and Catalysis, Montreal, QC, Canada H2V 0B3
| | - Joelle N. Pelletier
- Chemistry
Department, Université de Montréal, Montreal, QC, Canada H2V 0B3
- PROTEO,
The Québec Network for Research on Protein Function, Engineering,
and Applications, 201
Av. du Président-Kennedy, Montréal, QC, Canada H2X 3Y7
- CGCC,
Center in Green Chemistry and Catalysis, Montreal, QC, Canada H2V 0B3
- Department
of Biochemistry and Molecular Medicine, Université de Montréal, Montreal, QC, Canada H3T 1J4
| |
Collapse
|
2
|
Ao YF, Dörr M, Menke MJ, Born S, Heuson E, Bornscheuer UT. Data-Driven Protein Engineering for Improving Catalytic Activity and Selectivity. Chembiochem 2024; 25:e202300754. [PMID: 38029350 DOI: 10.1002/cbic.202300754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 11/28/2023] [Accepted: 11/29/2023] [Indexed: 12/01/2023]
Abstract
Protein engineering is essential for altering the substrate scope, catalytic activity and selectivity of enzymes for applications in biocatalysis. However, traditional approaches, such as directed evolution and rational design, encounter the challenge in dealing with the experimental screening process of a large protein mutation space. Machine learning methods allow the approximation of protein fitness landscapes and the identification of catalytic patterns using limited experimental data, thus providing a new avenue to guide protein engineering campaigns. In this concept article, we review machine learning models that have been developed to assess enzyme-substrate-catalysis performance relationships aiming to improve enzymes through data-driven protein engineering. Furthermore, we prospect the future development of this field to provide additional strategies and tools for achieving desired activities and selectivities.
Collapse
Affiliation(s)
- Yu-Fei Ao
- Department of Biotechnology and Enzyme Catalysis, Institute of Biochemistry, University of Greifswald, Felix-Hausdorff-Str. 4, 17487, Greifswald, Germany
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Molecular Recognition and Function, Institute of Chemistry, Chinese Academy of Sciences, Zhongguancun North First Street 2, Beijing, 100190, China
- University of Chinese Academy of Sciences, Yuquan Road 19(A), Beijing, 100049, China
| | - Mark Dörr
- Department of Biotechnology and Enzyme Catalysis, Institute of Biochemistry, University of Greifswald, Felix-Hausdorff-Str. 4, 17487, Greifswald, Germany
| | - Marian J Menke
- Department of Biotechnology and Enzyme Catalysis, Institute of Biochemistry, University of Greifswald, Felix-Hausdorff-Str. 4, 17487, Greifswald, Germany
| | - Stefan Born
- Technische Universität Berlin, Chair of Bioprocess Engineering, Ackerstraße 76, 13355, Berlin, Germany
| | - Egon Heuson
- Univ. Lille, CNRS, Centrale Lille, Univ. Artois, UMR 8181 UCCS, Unité de Catalyse et Chimie du Solide, 59000, Lille, France
| | - Uwe T Bornscheuer
- Department of Biotechnology and Enzyme Catalysis, Institute of Biochemistry, University of Greifswald, Felix-Hausdorff-Str. 4, 17487, Greifswald, Germany
| |
Collapse
|
3
|
Hooe SL, Smith AD, Dean SN, Breger JC, Ellis GA, Medintz IL. Multienzymatic Cascades and Nanomaterial Scaffolding-A Potential Way Forward for the Efficient Biosynthesis of Novel Chemical Products. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2309963. [PMID: 37944537 DOI: 10.1002/adma.202309963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/25/2023] [Indexed: 11/12/2023]
Abstract
Synthetic biology is touted as the next industrial revolution as it promises access to greener biocatalytic syntheses to replace many industrial organic chemistries. Here, it is shown to what synthetic biology can offer in the form of multienzyme cascades for the synthesis of the most basic of new materials-chemicals, including especially designer chemical products and their analogs. Since achieving this is predicated on dramatically expanding the chemical space that enzymes access, such chemistry will probably be undertaken in cell-free or minimalist formats to overcome the inherent toxicity of non-natural substrates to living cells. Laying out relevant aspects that need to be considered in the design of multi-enzymatic cascades for these purposes is begun. Representative multienzymatic cascades are critically reviewed, which have been specifically developed for the synthesis of compounds that have either been made only by traditional organic synthesis along with those cascades utilized for novel compound syntheses. Lastly, an overview of strategies that look toward exploiting bio/nanomaterials for accessing channeling and other nanoscale materials phenomena in vitro to direct novel enzymatic biosynthesis and improve catalytic efficiency is provided. Finally, a perspective on what is needed for this field to develop in the short and long term is presented.
Collapse
Affiliation(s)
- Shelby L Hooe
- Center for Bio/Molecular Science and Engineering Code 6900, U.S. Naval Research Laboratory, Washington, DC, 20375, USA
- National Research Council, Washington, DC, 20001, USA
| | - Aaron D Smith
- Center for Bio/Molecular Science and Engineering Code 6900, U.S. Naval Research Laboratory, Washington, DC, 20375, USA
| | - Scott N Dean
- Center for Bio/Molecular Science and Engineering Code 6900, U.S. Naval Research Laboratory, Washington, DC, 20375, USA
| | - Joyce C Breger
- Center for Bio/Molecular Science and Engineering Code 6900, U.S. Naval Research Laboratory, Washington, DC, 20375, USA
| | - Gregory A Ellis
- Center for Bio/Molecular Science and Engineering Code 6900, U.S. Naval Research Laboratory, Washington, DC, 20375, USA
| | - Igor L Medintz
- Center for Bio/Molecular Science and Engineering Code 6900, U.S. Naval Research Laboratory, Washington, DC, 20375, USA
| |
Collapse
|
4
|
Prešern U, Goličnik M. Enzyme Databases in the Era of Omics and Artificial Intelligence. Int J Mol Sci 2023; 24:16918. [PMID: 38069254 PMCID: PMC10707154 DOI: 10.3390/ijms242316918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 11/24/2023] [Accepted: 11/26/2023] [Indexed: 12/18/2023] Open
Abstract
Enzyme research is important for the development of various scientific fields such as medicine and biotechnology. Enzyme databases facilitate this research by providing a wide range of information relevant to research planning and data analysis. Over the years, various databases that cover different aspects of enzyme biology (e.g., kinetic parameters, enzyme occurrence, and reaction mechanisms) have been developed. Most of the databases are curated manually, which improves reliability of the information; however, such curation cannot keep pace with the exponential growth in published data. Lack of data standardization is another obstacle for data extraction and analysis. Improving machine readability of databases is especially important in the light of recent advances in deep learning algorithms that require big training datasets. This review provides information regarding the current state of enzyme databases, especially in relation to the ever-increasing amount of generated research data and recent advancements in artificial intelligence algorithms. Furthermore, it describes several enzyme databases, providing the reader with necessary information for their use.
Collapse
Affiliation(s)
| | - Marko Goličnik
- Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia;
| |
Collapse
|
5
|
Odendaal C, Jager EA, Martines ACMF, Vieira-Lara MA, Huijkman NCA, Kiyuna LA, Gerding A, Wolters JC, Heiner-Fokkema R, van Eunen K, Derks TGJ, Bakker BM. Personalised modelling of clinical heterogeneity between medium-chain acyl-CoA dehydrogenase patients. BMC Biol 2023; 21:184. [PMID: 37667308 PMCID: PMC10478272 DOI: 10.1186/s12915-023-01652-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 06/21/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Monogenetic inborn errors of metabolism cause a wide phenotypic heterogeneity that may even differ between family members carrying the same genetic variant. Computational modelling of metabolic networks may identify putative sources of this inter-patient heterogeneity. Here, we mainly focus on medium-chain acyl-CoA dehydrogenase deficiency (MCADD), the most common inborn error of the mitochondrial fatty acid oxidation (mFAO). It is an enigma why some MCADD patients-if untreated-are at risk to develop severe metabolic decompensations, whereas others remain asymptomatic throughout life. We hypothesised that an ability to maintain an increased free mitochondrial CoA (CoASH) and pathway flux might distinguish asymptomatic from symptomatic patients. RESULTS We built and experimentally validated, for the first time, a kinetic model of the human liver mFAO. Metabolites were partitioned according to their water solubility between the bulk aqueous matrix and the inner membrane. Enzymes are also either membrane-bound or in the matrix. This metabolite partitioning is a novel model attribute and improved predictions. MCADD substantially reduced pathway flux and CoASH, the latter due to the sequestration of CoA as medium-chain acyl-CoA esters. Analysis of urine from MCADD patients obtained during a metabolic decompensation showed an accumulation of medium- and short-chain acylcarnitines, just like the acyl-CoA pool in the MCADD model. The model suggested some rescues that increased flux and CoASH, notably increasing short-chain acyl-CoA dehydrogenase (SCAD) levels. Proteome analysis of MCADD patient-derived fibroblasts indeed revealed elevated levels of SCAD in a patient with a clinically asymptomatic state. This is a rescue for MCADD that has not been explored before. Personalised models based on these proteomics data confirmed an increased pathway flux and CoASH in the model of an asymptomatic patient compared to those of symptomatic MCADD patients. CONCLUSIONS We present a detailed, validated kinetic model of mFAO in human liver, with solubility-dependent metabolite partitioning. Personalised modelling of individual patients provides a novel explanation for phenotypic heterogeneity among MCADD patients. Further development of personalised metabolic models is a promising direction to improve individualised risk assessment, management and monitoring for inborn errors of metabolism.
Collapse
Affiliation(s)
- Christoff Odendaal
- Laboratory of Paediatrics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Emmalie A Jager
- Laboratory of Paediatrics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
- Section of Metabolic Diseases, Beatrix Children's Hospital, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Anne-Claire M F Martines
- Laboratory of Paediatrics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Marcel A Vieira-Lara
- Laboratory of Paediatrics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Nicolette C A Huijkman
- Laboratory of Paediatrics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Ligia A Kiyuna
- Laboratory of Paediatrics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Albert Gerding
- Laboratory of Paediatrics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
- Department of Laboratory Medicine, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Justina C Wolters
- Laboratory of Paediatrics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Rebecca Heiner-Fokkema
- Department of Laboratory Medicine, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Karen van Eunen
- Laboratory of Paediatrics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Terry G J Derks
- Section of Metabolic Diseases, Beatrix Children's Hospital, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands.
| | - Barbara M Bakker
- Laboratory of Paediatrics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands.
| |
Collapse
|
6
|
Barry CJ, Pillay CS, Rohwer JM. Modelling the Decamerisation Cycle of PRDX1 and the Inhibition-like Effect on Its Peroxidase Activity. Antioxidants (Basel) 2023; 12:1707. [PMID: 37760010 PMCID: PMC10525498 DOI: 10.3390/antiox12091707] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 08/25/2023] [Accepted: 08/26/2023] [Indexed: 09/29/2023] Open
Abstract
Peroxiredoxins play central roles in the detoxification of reactive oxygen species and have been modelled across multiple organisms using a variety of kinetic methods. However, the peroxiredoxin dimer-to-decamer transition has been underappreciated in these studies despite the 100-fold difference in activity between these forms. This is due to the lack of available kinetics and a theoretical framework for modelling this process. Using published isothermal titration calorimetry data, we obtained association and dissociation rate constants of 0.050 µM-4·s-1 and 0.055 s-1, respectively, for the dimer-decamer transition of human PRDX1. We developed an approach that greatly reduces the number of reactions and species needed to model the peroxiredoxin decamer oxidation cycle. Using these data, we simulated horse radish peroxidase competition and NADPH-oxidation linked assays and found that the dimer-decamer transition had an inhibition-like effect on peroxidase activity. Further, we incorporated this dimer-decamer topology and kinetics into a published and validated in vivo model of PRDX2 in the erythrocyte and found that it almost perfectly reconciled experimental and simulated responses of PRDX2 oxidation state to hydrogen peroxide insult. By accounting for the dimer-decamer transition of peroxiredoxins, we were able to resolve several discrepancies between experimental data and available kinetic models.
Collapse
Affiliation(s)
- Christopher J. Barry
- Laboratory for Molecular Systems Biology, Department of Biochemistry, Stellenbosch University, Stellenbosch 7600, South Africa;
| | - Ché S. Pillay
- School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg 3201, South Africa;
| | - Johann M. Rohwer
- Laboratory for Molecular Systems Biology, Department of Biochemistry, Stellenbosch University, Stellenbosch 7600, South Africa;
| |
Collapse
|
7
|
Finnigan W, Lubberink M, Hepworth LJ, Citoler J, Mattey AP, Ford GJ, Sangster J, Cosgrove SC, da Costa BZ, Heath RS, Thorpe TW, Yu Y, Flitsch SL, Turner NJ. RetroBioCat Database: A Platform for Collaborative Curation and Automated Meta-Analysis of Biocatalysis Data. ACS Catal 2023; 13:11771-11780. [PMID: 37671181 PMCID: PMC10476152 DOI: 10.1021/acscatal.3c01418] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 06/26/2023] [Indexed: 09/07/2023]
Abstract
Despite the increasing use of biocatalysis for organic synthesis, there are currently no databases that adequately capture synthetic biotransformations. The lack of a biocatalysis database prevents accelerating biocatalyst characterization efforts from being leveraged to quickly identify candidate enzymes for reactions or cascades, slowing their development. The RetroBioCat Database (available at retrobiocat.com) addresses this gap by capturing information on synthetic biotransformations and providing an analysis platform that allows biocatalysis data to be searched and explored through a range of highly interactive data visualization tools. This database makes it simple to explore available enzymes, their substrate scopes, and how characterized enzymes are related to each other and the wider sequence space. Data entry is facilitated through an openly accessible curation platform, featuring automated tools to accelerate the process. The RetroBioCat Database democratizes biocatalysis knowledge and has the potential to accelerate biocatalytic reaction development, making it a valuable resource for the community.
Collapse
Affiliation(s)
- William Finnigan
- Department of Chemistry, Manchester Institute of Biotechnology, University
of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
| | | | - Lorna J. Hepworth
- Department of Chemistry, Manchester Institute of Biotechnology, University
of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
| | - Joan Citoler
- Department of Chemistry, Manchester Institute of Biotechnology, University
of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
| | - Ashley P. Mattey
- Department of Chemistry, Manchester Institute of Biotechnology, University
of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
| | - Grayson J. Ford
- Department of Chemistry, Manchester Institute of Biotechnology, University
of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
| | - Jack Sangster
- Department of Chemistry, Manchester Institute of Biotechnology, University
of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
| | | | - Bruna Zucoloto da Costa
- Department of Chemistry, Manchester Institute of Biotechnology, University
of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
| | - Rachel S. Heath
- Department of Chemistry, Manchester Institute of Biotechnology, University
of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
| | | | - Yuqi Yu
- Department of Chemistry, Manchester Institute of Biotechnology, University
of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
| | - Sabine L. Flitsch
- Department of Chemistry, Manchester Institute of Biotechnology, University
of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
| | - Nicholas J. Turner
- Department of Chemistry, Manchester Institute of Biotechnology, University
of Manchester, 131 Princess Street, Manchester M1 7DN, U.K.
| |
Collapse
|
8
|
Bursch KL, Olp MD, Smith BC. Analysis of continuous enzyme kinetic data using ICEKAT. Methods Enzymol 2023; 690:109-129. [PMID: 37858527 PMCID: PMC10691744 DOI: 10.1016/bs.mie.2023.06.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
ICEKAT (Interactive Continuous Enzyme Analysis Tool) is an interactive web-based program for calculating initial rates and kinetic parameters (e.g., Vmax, kcat, KM, EC50, IC50) from continuous enzyme kinetic assay data that satisfy Michaelis-Menten and steady-state kinetic assumptions. ICEKAT is valuable in educational and research settings to consistently and accurately calculate initial rates and kinetic parameters, increasing assay veracity and reproducibility. Provided freely online to the scientific community, ICEKAT has been cited in at least 26 publications, and the initial journal article has been accessed nearly 9000 times since its debut in 2020 (Olp et al., 2020). Here, we provide in-depth instructions for software use, offer vital considerations for data analysis, and highlight updated software features for new and existing users. Through ICEKAT, we aim for the analysis of data from continuous enzyme kinetic studies worldwide to become more rapid, reliable, and repeatable. ICEKAT remains free of charge and available to all scientists at https://icekat.herokuapp.com/icekat; the source code for local use is found at https://github.com/SmithLabMCW/icekat.
Collapse
Affiliation(s)
- Karina L Bursch
- Department of Biochemistry, Medical College of Wisconsin, Watertown Plank Road, Milwaukee, WI, United States
| | - Michael D Olp
- Department of Pathology, University of Michigan, Ann Arbor, MI, United States
| | - Brian C Smith
- Department of Biochemistry, Medical College of Wisconsin, Watertown Plank Road, Milwaukee, WI, United States; Program in Chemical Biology, Medical College of Wisconsin, Watertown Plank Road, Milwaukee, WI, United States.
| |
Collapse
|
9
|
Lauterbach S, Dienhart H, Range J, Malzacher S, Spöring JD, Rother D, Pinto MF, Martins P, Lagerman CE, Bommarius AS, Høst AV, Woodley JM, Ngubane S, Kudanga T, Bergmann FT, Rohwer JM, Iglezakis D, Weidemann A, Wittig U, Kettner C, Swainston N, Schnell S, Pleiss J. EnzymeML: seamless data flow and modeling of enzymatic data. Nat Methods 2023; 20:400-402. [PMID: 36759590 DOI: 10.1038/s41592-022-01763-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 12/21/2022] [Indexed: 02/11/2023]
Abstract
The design of biocatalytic reaction systems is highly complex owing to the dependency of the estimated kinetic parameters on the enzyme, the reaction conditions, and the modeling method. Consequently, reproducibility of enzymatic experiments and reusability of enzymatic data are challenging. We developed the XML-based markup language EnzymeML to enable storage and exchange of enzymatic data such as reaction conditions, the time course of the substrate and the product, kinetic parameters and the kinetic model, thus making enzymatic data findable, accessible, interoperable and reusable (FAIR). The feasibility and usefulness of the EnzymeML toolbox is demonstrated in six scenarios, for which data and metadata of different enzymatic reactions are collected and analyzed. EnzymeML serves as a seamless communication channel between experimental platforms, electronic lab notebooks, tools for modeling of enzyme kinetics, publication platforms and enzymatic reaction databases. EnzymeML is open and transparent, and invites the community to contribute. All documents and codes are freely available at https://enzymeml.org .
Collapse
Affiliation(s)
- Simone Lauterbach
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Stuttgart, Germany
| | - Hannah Dienhart
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Stuttgart, Germany
| | - Jan Range
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Stuttgart, Germany
| | - Stephan Malzacher
- Institute of Bio- and Geosciences 1, Forschungszentrum Jülich, Jülich, Germany.,Aachen Biology and Biotechnology, RWTH Aachen University, Aachen, Germany
| | - Jan-Dirk Spöring
- Institute of Bio- and Geosciences 1, Forschungszentrum Jülich, Jülich, Germany.,Aachen Biology and Biotechnology, RWTH Aachen University, Aachen, Germany
| | - Dörte Rother
- Institute of Bio- and Geosciences 1, Forschungszentrum Jülich, Jülich, Germany.,Aachen Biology and Biotechnology, RWTH Aachen University, Aachen, Germany
| | - Maria Filipa Pinto
- i3S, Instituto de Investigação e Inovação em Saúde da Universidade do Porto, University of Porto, Porto, Portugal
| | - Pedro Martins
- i3S, Instituto de Investigação e Inovação em Saúde da Universidade do Porto, University of Porto, Porto, Portugal
| | - Colton E Lagerman
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Andreas S Bommarius
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Amalie Vang Høst
- Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs Lyngby, Denmark
| | - John M Woodley
- Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs Lyngby, Denmark
| | - Sandile Ngubane
- Department of Biotechnology and Food Science, Durban University of Technology, Durban, South Africa
| | - Tukayi Kudanga
- Department of Biotechnology and Food Science, Durban University of Technology, Durban, South Africa
| | | | - Johann M Rohwer
- Department of Biochemistry, Stellenbosch University, Stellenbosch, South Africa
| | - Dorothea Iglezakis
- Information and Communication Center, University of Stuttgart, Stuttgart, Germany
| | | | - Ulrike Wittig
- Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
| | | | - Neil Swainston
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | - Santiago Schnell
- Department of Biological Sciences and Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, USA
| | - Jürgen Pleiss
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Stuttgart, Germany.
| |
Collapse
|
10
|
Enzyme Inhibitors from Gorgonians and Soft Corals. Mar Drugs 2023; 21:md21020104. [PMID: 36827145 PMCID: PMC9963996 DOI: 10.3390/md21020104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/28/2023] [Accepted: 01/28/2023] [Indexed: 02/04/2023] Open
Abstract
For decades, gorgonians and soft corals have been considered promising sources of bioactive compounds, attracting the interest of scientists from different fields. As the most abundant bioactive compounds within these organisms, terpenoids, steroids, and alkaloids have received the highest coverage in the scientific literature. However, enzyme inhibitors, a functional class of bioactive compounds with high potential for industry and biomedicine, have received much less notoriety. Thus, we revised scientific literature (1974-2022) on the field of marine natural products searching for enzyme inhibitors isolated from these taxonomic groups. In this review, we present representative enzyme inhibitors from an enzymological perspective, highlighting, when available, data on specific targets, structures, potencies, mechanisms of inhibition, and physiological roles for these molecules. As most of the characterization studies for the new inhibitors remain incomplete, we also included a methodological section presenting a general strategy to face this goal by accomplishing STRENDA (Standards for Reporting Enzymology Data) project guidelines.
Collapse
|
11
|
Yan B, Ran X, Gollu A, Cheng Z, Zhou X, Chen Y, Yang ZJ. IntEnzyDB: an Integrated Structure-Kinetics Enzymology Database. J Chem Inf Model 2022; 62:5841-5848. [PMID: 36286319 DOI: 10.1021/acs.jcim.2c01139] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Data-driven modeling has emerged as a new paradigm for biocatalyst design and discovery. Biocatalytic databases that integrate enzyme structure and function data are in urgent need. Here we describe IntEnzyDB as an integrated structure-kinetics database for facile statistical modeling and machine learning. IntEnzyDB employs a relational database architecture with a flattened data structure, which allows rapid data operation. This architecture also makes it easy for IntEnzyDB to incorporate more types of enzyme function data. IntEnzyDB contains enzyme kinetics and structure data from six enzyme commission classes. Using 1050 enzyme structure-kinetics pairs, we investigated the efficiency-perturbing propensities of mutations that are close or distal to the active site. The statistical results show that efficiency-enhancing mutations are globally encoded and that deleterious mutations are much more likely to occur in close mutations than in distal mutations. Finally, we describe a web interface that allows public users to access enzymology data stored in IntEnzyDB. IntEnzyDB will provide a computational facility for data-driven modeling in biocatalysis and molecular evolution.
Collapse
Affiliation(s)
- Bailu Yan
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States.,Department of Biostatistics, Vanderbilt University, Nashville, Tennessee 37205, United States
| | - Xinchun Ran
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Anvita Gollu
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Zihao Cheng
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Xiang Zhou
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Yiwen Chen
- Data Science Institute, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Zhongyue J Yang
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States.,Center for Structural Biology, Vanderbilt University, Nashville, Tennessee 37235, United States.,Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, Tennessee 37235, United States.,Data Science Institute, Vanderbilt University, Nashville, Tennessee 37235, United States.,Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, Tennessee 37205, United States
| |
Collapse
|
12
|
The Power of Biocatalysts for Highly Selective and Efficient Phosphorylation Reactions. Catalysts 2022. [DOI: 10.3390/catal12111436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Reactions involving the transfer of phosphorus-containing groups are of key importance for maintaining life, from biological cells, tissues and organs to plants, animals, humans, ecosystems and the whole planet earth. The sustainable utilization of the nonrenewable element phosphorus is of key importance for a balanced phosphorus cycle. Significant advances have been achieved in highly selective and efficient biocatalytic phosphorylation reactions, fundamental and applied aspects of phosphorylation biocatalysts, novel phosphorylation biocatalysts, discovery methodologies and tools, analytical and synthetic applications, useful phosphoryl donors and systems for their regeneration, reaction engineering, product recovery and purification. Biocatalytic phosphorylation reactions with complete conversion therefore provide an excellent reaction platform for valuable analytical and synthetic applications.
Collapse
|
13
|
Wohlgemuth R. Selective Biocatalytic Defunctionalization of Raw Materials. CHEMSUSCHEM 2022; 15:e202200402. [PMID: 35388636 DOI: 10.1002/cssc.202200402] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/05/2022] [Indexed: 06/14/2023]
Abstract
Biobased raw materials, such as carbohydrates, amino acids, nucleotides, or lipids contain valuable functional groups with oxygen and nitrogen atoms. An abundance of many functional groups of the same type, such as primary or secondary hydroxy groups in carbohydrates, however, limits the synthetic usefulness if similar reactivities cannot be differentiated. Therefore, selective defunctionalization of highly functionalized biobased starting materials to differentially functionalized compounds can provide a sustainable access to chiral synthons, even in case of products with fewer functional groups. Selective defunctionalization reactions, without affecting other functional groups of the same type, are of fundamental interest for biocatalytic reactions. Controlled biocatalytic defunctionalizations of biobased raw materials are attractive for obtaining valuable platform chemicals and building blocks. The biocatalytic removal of functional groups, an important feature of natural metabolic pathways, can also be utilized in a systemic strategy for sustainable metabolite synthesis.
Collapse
Affiliation(s)
- Roland Wohlgemuth
- Institute of Molecular and Industrial Biotechnology, Lodz University of Technology Łódź, 90-537, Lodz, Poland
- Swiss Coordination Committee Biotechnology (SKB), 8002, Zurich, Switzerland
| |
Collapse
|
14
|
Kinetic Modeling of Time-Dependent Enzyme Inhibition by Pre-Steady-State Analysis of Progress Curves: The Case Study of the Anti-Alzheimer's Drug Galantamine. Int J Mol Sci 2022; 23:ijms23095072. [PMID: 35563466 PMCID: PMC9105972 DOI: 10.3390/ijms23095072] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 04/29/2022] [Accepted: 04/30/2022] [Indexed: 01/27/2023] Open
Abstract
The Michaelis–Menten model of enzyme kinetic assumes the free ligand approximation, the steady-state approximation and the rapid equilibrium approximation. Analytical methods to model slow-binding inhibitors by the analysis of initial velocities have been developed but, due to their inherent complexity, they are seldom employed. In order to circumvent the complications that arise from the violation of the rapid equilibrium assumption, inhibition is commonly evaluated by pre-incubating the enzyme and the inhibitors so that, even for slow inhibitors, the binding equilibrium is established before the reaction is started. Here, we show that for long drug-target residence time inhibitors, the conventional analysis of initial velocities by the linear regression of double-reciprocal plots fails to provide a correct description of the inhibition mechanism. As a case study, the inhibition of acetylcholinesterase by galantamine, a drug approved for the symptomatic treatment of Alzheimer’s disease, is reported. For over 50 years, analysis based on the conventional steady-state model has overlooked the time-dependent nature of galantamine inhibition, leading to an erroneous assessment of the drug potency and, hence, to discrepancies between biochemical data and the pharmacological evidence. Re-examination of acetylcholinesterase inhibition by pre-steady state analysis of the reaction progress curves showed that the potency of galantamine has indeed been underestimated by a factor of ~100.
Collapse
|
15
|
McDonald AG, Tipton KF. Parameter Reliability and Understanding Enzyme Function. Molecules 2022; 27:263. [PMID: 35011495 PMCID: PMC8746786 DOI: 10.3390/molecules27010263] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 12/21/2021] [Accepted: 12/24/2021] [Indexed: 11/16/2022] Open
Abstract
Knowledge of the Michaelis-Menten parameters and their meaning in different circumstances is an essential prerequisite to understanding enzyme function and behaviour. The published literature contains an abundance of values reported for many enzymes. The problem concerns assessing the appropriateness and validity of such material for the purpose to which it is to be applied. This review considers the evaluation of such data with particular emphasis on the assessment of its fitness for purpose.
Collapse
Affiliation(s)
- Andrew G. McDonald
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, D02 PN40 Dublin, Ireland;
| | | |
Collapse
|
16
|
Range J, Halupczok C, Lohmann J, Swainston N, Kettner C, Bergmann FT, Weidemann A, Wittig U, Schnell S, Pleiss J. EnzymeML-a data exchange format for biocatalysis and enzymology. FEBS J 2021; 289:5864-5874. [PMID: 34890097 DOI: 10.1111/febs.16318] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/15/2021] [Accepted: 12/09/2021] [Indexed: 11/30/2022]
Abstract
EnzymeML is an XML-based data exchange format that supports the comprehensive documentation of enzymatic data by describing reaction conditions, time courses of substrate and product concentrations, the kinetic model, and the estimated kinetic constants. EnzymeML is based on the Systems Biology Markup Language, which was extended by implementing the STRENDA Guidelines. An EnzymeML document serves as a container to transfer data between experimental platforms, modeling tools, and databases. EnzymeML supports the scientific community by introducing a standardized data exchange format to make enzymatic data findable, accessible, interoperable, and reusable according to the FAIR data principles. An application programming interface in Python supports the integration of software tools for data acquisition, data analysis, and publication. The feasibility of a seamless data flow using EnzymeML is demonstrated by creating an EnzymeML document from a structured spreadsheet or from a STRENDA DB database entry, by kinetic modeling using the modeling platform COPASI, and by uploading to the enzymatic reaction kinetics database SABIO-RK.
Collapse
Affiliation(s)
- Jan Range
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Germany
| | - Colin Halupczok
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Germany
| | - Jens Lohmann
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Germany
| | - Neil Swainston
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK
| | | | | | | | - Ulrike Wittig
- Heidelberg Institute for Theoretical Studies, Germany
| | - Santiago Schnell
- Department of Molecular & Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI, USA.,Department of Computational Medicine & Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Jürgen Pleiss
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Germany
| |
Collapse
|
17
|
Experimental and computational investigation of enzyme functional annotations uncovers misannotation in the EC 1.1.3.15 enzyme class. PLoS Comput Biol 2021; 17:e1009446. [PMID: 34555022 PMCID: PMC8491902 DOI: 10.1371/journal.pcbi.1009446] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 10/05/2021] [Accepted: 09/13/2021] [Indexed: 12/12/2022] Open
Abstract
Only a small fraction of genes deposited to databases have been experimentally characterised. The majority of proteins have their function assigned automatically, which can result in erroneous annotations. The reliability of current annotations in public databases is largely unknown; experimental attempts to validate the accuracy within individual enzyme classes are lacking. In this study we performed an overview of functional annotations to the BRENDA enzyme database. We first applied a high-throughput experimental platform to verify functional annotations to an enzyme class of S-2-hydroxyacid oxidases (EC 1.1.3.15). We chose 122 representative sequences of the class and screened them for their predicted function. Based on the experimental results, predicted domain architecture and similarity to previously characterised S-2-hydroxyacid oxidases, we inferred that at least 78% of sequences in the enzyme class are misannotated. We experimentally confirmed four alternative activities among the misannotated sequences and showed that misannotation in the enzyme class increased over time. Finally, we performed a computational analysis of annotations to all enzyme classes in the BRENDA database, and showed that nearly 18% of all sequences are annotated to an enzyme class while sharing no similarity or domain architecture to experimentally characterised representatives. We showed that even well-studied enzyme classes of industrial relevance are affected by the problem of functional misannotation. Correct annotation of genomes is crucial for our understanding and utilization of functional gene diversity, yet the reliability of current protein annotations in public databases is largely unknown. In our work we validated annotations to an S-2-hydroxyacid oxidase enzyme class (EC 1.1.3.15) by assessing activity of 122 representative sequences in a high-throughput screening experiment. From this dataset we inferred that at least 78% of the sequences in the enzyme class are misannotated, and confirmed four alternative activities among the misannotated sequences. We showed that the misannotation is widespread throughout enzyme classes, affecting even well-studied classes of industrial relevance. Overall, our study highlights the value of experimental and computational validation of predicted functions within individual enzyme classes.
Collapse
|
18
|
Pleiss J. Standardized Data, Scalable Documentation, Sustainable Storage – EnzymeML As A Basis For FAIR Data Management In Biocatalysis. ChemCatChem 2021. [DOI: 10.1002/cctc.202100822] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Affiliation(s)
- Jürgen Pleiss
- Institute of Biochemistry and Technical Biochemistry University of Stuttgart Allmandring 31 70569 Stuttgart Germany
| |
Collapse
|
19
|
Ott F, Rabe KS, Niemeyer CM, Gygli G. Toward Reproducible Enzyme Modeling with Isothermal Titration Calorimetry. ACS Catal 2021. [DOI: 10.1021/acscatal.1c02076] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Felix Ott
- Institute for Biological Interfaces (IBG 1), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
| | - Kersten S. Rabe
- Institute for Biological Interfaces (IBG 1), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
| | - Christof M. Niemeyer
- Institute for Biological Interfaces (IBG 1), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
| | - Gudrun Gygli
- Institute for Biological Interfaces (IBG 1), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
| |
Collapse
|
20
|
Aledo JC. Enzyme kinetic parameters estimation: A tricky task? BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION : A BIMONTHLY PUBLICATION OF THE INTERNATIONAL UNION OF BIOCHEMISTRY AND MOLECULAR BIOLOGY 2021; 49:633-638. [PMID: 33900008 DOI: 10.1002/bmb.21522] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 03/17/2021] [Accepted: 04/12/2021] [Indexed: 06/12/2023]
Abstract
We are living in the Big Data era, and yet we may have serious troubles when dealing with a handful of kinetic data if we are not properly instructed. The aim of this paper, related to enzyme kinetics, is to illustrate how to determine the Km and Vmax of a michaelian enzyme avoiding the pitfalls in which we often fall. To this end, we will resort to kinetic data obtained by second-year Biochemistry students during a laboratory experiment using β-galactosidase as an enzyme model, assayed at different concentrations of its substrate. When these data were analyzed using conventional linear regression of double-reciprocal plots, the range of Km and Vmax values obtained by different students varied widely. Even worse, some students obtained negative values for the kinetic parameters. Although such a scenario could make us think of a wide inter-student variability regarding their skills to obtain reliable data, the reality was quite different: when properly analyzed (accounting for error propagation) the data obtained by all the students were good enough to allow a correct estimation of the Km (2.8 ± 0.3 mM) and Vmax (179 ± 27 mM/min) with a reduced intergroup standard deviation. A student-accessible discussion of the importance of weighted linear regression in biochemical sciences is provided.
Collapse
Affiliation(s)
- Juan C Aledo
- Departamento de Biología Molecular y Bioquímica. Facultad de Ciencias, Universidad de Málaga, Málaga, Spain
| |
Collapse
|
21
|
Liang W, Wied P, Carraro F, Sumby CJ, Nidetzky B, Tsung CK, Falcaro P, Doonan CJ. Metal–Organic Framework-Based Enzyme Biocomposites. Chem Rev 2021; 121:1077-1129. [DOI: 10.1021/acs.chemrev.0c01029] [Citation(s) in RCA: 166] [Impact Index Per Article: 55.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Weibin Liang
- Department of Chemistry and Centre for Advanced Nanomaterials, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Peter Wied
- Institute of Physical and Theoretical Chemistry, Graz University of Technology, Stremayrgasse 9, 8010 Graz, Austria
| | - Francesco Carraro
- Institute of Physical and Theoretical Chemistry, Graz University of Technology, Stremayrgasse 9, 8010 Graz, Austria
| | - Christopher J. Sumby
- Department of Chemistry and Centre for Advanced Nanomaterials, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Bernd Nidetzky
- Institute of Biotechnology and Biochemical Engineering, Graz University of Technology, Petersgasse 12/1, 8010 Graz, Austria
| | - Chia-Kuang Tsung
- Department of Chemistry, Merkert Chemistry Center, Boston College, Chestnut Hill, Massachusetts 02467, United States
| | - Paolo Falcaro
- Institute of Physical and Theoretical Chemistry, Graz University of Technology, Stremayrgasse 9, 8010 Graz, Austria
| | - Christian J. Doonan
- Department of Chemistry and Centre for Advanced Nanomaterials, The University of Adelaide, Adelaide, South Australia 5005, Australia
| |
Collapse
|
22
|
Gygli G, Xu X, Pleiss J. Meta-analysis of viscosity of aqueous deep eutectic solvents and their components. Sci Rep 2020; 10:21395. [PMID: 33288787 PMCID: PMC7721810 DOI: 10.1038/s41598-020-78101-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 11/05/2020] [Indexed: 11/08/2022] Open
Abstract
Deep eutectic solvents (DES) formed by quaternary ammonium salts and hydrogen bond donors are a promising green alternative to organic solvents. Their high viscosity at ambient temperatures can limit biocatalytic applications and therefore requires fine-tuning by adjusting water content and temperature. Here, we performed a meta-analysis of the impact of water content and temperature on the viscosities of four deep eutectic solvents (glyceline, reline, N,N-diethylethanol ammonium chloride-glycerol, N,N-diethylethanol ammonium chloride-ethylene glycol), their components (choline chloride, urea, glycerol, ethylene glycol), methanol, and pure water. We analyzed the viscosity data by an automated workflow, using Arrhenius and Vogel-Fulcher-Tammann-Hesse models. The consistency and completeness of experimental data and metadata was used as an essential criterion of data quality. We found that viscosities were reported for different temperature ranges, half the time without specifying a method of desiccation, and in almost half of the reports without specifying experimental errors. We found that the viscosity of the pure components varied widely, but that all aqueous mixtures (except for reline) have similar excess activation energy of viscous flow [Formula: see text]= 3-5 kJ/mol, whereas reline had a negative excess activation energy ([Formula: see text]= - 19 kJ/mol). The data and workflows used are accessible at https://doi.org/10.15490/FAIRDOMHUB.1.STUDY.767.1 .
Collapse
Affiliation(s)
- Gudrun Gygli
- Institute for Biological Interfaces (IBG 1), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Karlsruhe, Germany
| | - Xinmeng Xu
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, 70569, Stuttgart, Germany
| | - Jürgen Pleiss
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, 70569, Stuttgart, Germany.
| |
Collapse
|
23
|
Vihinen M. Functional effects of protein variants. Biochimie 2020; 180:104-120. [PMID: 33164889 DOI: 10.1016/j.biochi.2020.10.009] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 10/15/2020] [Accepted: 10/19/2020] [Indexed: 12/11/2022]
Abstract
Genetic and other variations frequently affect protein functions. Scientific articles can contain confusing descriptions about which function or property is affected, and in many cases the statements are pure speculation without any experimental evidence. To clarify functional effects of protein variations of genetic or non-genetic origin, a systematic conceptualisation and framework are introduced. This framework describes protein functional effects on abundance, activity, specificity and affinity, along with countermeasures, which allow cells, tissues and organisms to tolerate, avoid, repair, attenuate or resist (TARAR) the effects. Effects on abundance discussed include gene dosage, restricted expression, mis-localisation and degradation. Enzymopathies, effects on kinetics, allostery and regulation of protein activity are subtopics for the effects of variants on activity. Variation outcomes on specificity and affinity comprise promiscuity, specificity, affinity and moonlighting. TARAR mechanisms redress variations with active and passive processes including chaperones, redundancy, robustness, canalisation and metabolic and signalling rewiring. A framework for pragmatic protein function analysis and presentation is introduced. All of the mechanisms and effects are described along with representative examples, most often in relation to diseases. In addition, protein function is discussed from evolutionary point of view. Application of the presented framework facilitates unambiguous, detailed and specific description of functional effects and their systematic study.
Collapse
Affiliation(s)
- Mauno Vihinen
- Department of Experimental Medical Science, BMC B13, Lund University, SE-22 184, Lund, Sweden.
| |
Collapse
|
24
|
Wohlgemuth R. Biocatalysis - Key enabling tools from biocatalytic one-step and multi-step reactions to biocatalytic total synthesis. N Biotechnol 2020; 60:113-123. [PMID: 33045418 DOI: 10.1016/j.nbt.2020.08.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 07/07/2020] [Accepted: 08/31/2020] [Indexed: 12/20/2022]
Abstract
In the area of human-made innovations to improve the quality of life, biocatalysis has already had a great impact and contributed enormously to a growing number of catalytic transformations aimed at the detection and analysis of compounds, the bioconversion of starting materials and the preparation of target compounds at any scale, from laboratory small scale to industrial large scale. The key enabling tools which have been developed in biocatalysis over the last decades also provide great opportunities for further development and numerous applications in various sectors of the global bioeconomy. Systems biocatalysis is a modular, bottom-up approach to designing the architecture of enzyme-catalyzed reaction steps in a synthetic route from starting materials to target molecules. The integration of biocatalysis and sustainable chemistry in vitro aims at ideal conversions with high molecular economy and their intensification. Retrosynthetic analysis in the chemical and biological domain has been a valuable tool for target-oriented synthesis while, on the other hand, diversity-oriented synthesis builds on forward-looking analysis. Bioinformatic tools for rapid identification of the required enzyme functions, efficient enzyme production systems, as well as generalized bioprocess design tools, are important for rapid prototyping of the biocatalytic reactions. The tools for enzyme engineering and the reaction engineering of each enzyme-catalyzed one-step reaction are also valuable for coupling reactions. The tools to overcome interaction issues with other components or enzymes are of great interest in designing multi-step reactions as well as in biocatalytic total synthesis.
Collapse
Affiliation(s)
- Roland Wohlgemuth
- Institute of Molecular and Industrial Biotechnology, Lodz University of Technology, Lodz, Poland; Swiss Coordination Committee on Biotechnology (SKB), Nordstrasse 15, 8021 Zürich, Switzerland.
| |
Collapse
|
25
|
Pinto MF, Baici A, Pereira PJB, Macedo-Ribeiro S, Pastore A, Rocha F, Martins PM. interferENZY: A Web-Based Tool for Enzymatic Assay Validation and Standardized Kinetic Analysis. J Mol Biol 2020; 433:166613. [PMID: 32768452 DOI: 10.1016/j.jmb.2020.07.025] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 07/28/2020] [Accepted: 07/31/2020] [Indexed: 02/01/2023]
Abstract
Enzymatic assays are widely employed to characterize important allosteric and enzyme modulation effects. The high sensitivity of these assays can represent a serious problem if the occurrence of experimental errors surreptitiously affects the reliability of enzyme kinetics results. We have addressed this problem and found that hidden assay interferences can be unveiled by the graphical representation of progress curves in modified reaction coordinates. To render this analysis accessible to users across all levels of expertise, we have developed a webserver, interferENZY, that allows (i) an unprecedented tight quality control of experimental data, (ii) the automated identification of small and major assay interferences, and (iii) the estimation of bias-free kinetic parameters. By eliminating the subjectivity factor in kinetic data reporting, interferENZY will contribute to solving the "reproducibility crisis" that currently challenges experimental molecular biology. The interferENZY webserver is freely available (no login required) at https://interferenzy.i3s.up.pt.
Collapse
Affiliation(s)
- Maria Filipa Pinto
- ICBAS-Instituto de Ciências Biomédicas Abel Salazar da Universidade do Porto, Rua de Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal; LEPABE-Laboratório de Engenharia de Processos, Ambiente, Biotecnologia e Energia, Departamento de Engenharia Química, Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal; i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal; IBMC-Instituto de Biologia Molecular e Celular, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
| | - Antonio Baici
- Department of Biochemistry, University of Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland
| | - Pedro José Barbosa Pereira
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal; IBMC-Instituto de Biologia Molecular e Celular, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
| | - Sandra Macedo-Ribeiro
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal; IBMC-Instituto de Biologia Molecular e Celular, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
| | - Annalisa Pastore
- Maurice Wohl Clinical Neuroscience Institute, King's College London, 5 Cutcombe Rd, Brixton, London SE5 9RT, England, UK
| | - Fernando Rocha
- LEPABE-Laboratório de Engenharia de Processos, Ambiente, Biotecnologia e Energia, Departamento de Engenharia Química, Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Pedro M Martins
- ICBAS-Instituto de Ciências Biomédicas Abel Salazar da Universidade do Porto, Rua de Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal; i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal; IBMC-Instituto de Biologia Molecular e Celular, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal.
| |
Collapse
|
26
|
Gygli G, Pleiss J. Simulation Foundry: Automated and F.A.I.R. Molecular Modeling. J Chem Inf Model 2020; 60:1922-1927. [DOI: 10.1021/acs.jcim.0c00018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Gudrun Gygli
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, 70569 Stuttgart, Germany
| | - Juergen Pleiss
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, 70569 Stuttgart, Germany
| |
Collapse
|
27
|
A simple linearization method unveils hidden enzymatic assay interferences. Biophys Chem 2019; 252:106193. [DOI: 10.1016/j.bpc.2019.106193] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Revised: 05/23/2019] [Accepted: 05/26/2019] [Indexed: 01/09/2023]
|
28
|
Aguilar A, Twardowski T, Wohlgemuth R. Bioeconomy for Sustainable Development. Biotechnol J 2019; 14:e1800638. [PMID: 31106982 DOI: 10.1002/biot.201800638] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 04/04/2019] [Indexed: 01/12/2023]
Abstract
Bioeconomy is an emerging paradigm under which the creation, development, and revitalization of economic systems based on a sustainable use of renewable biological resources in a balanced way is rapidly spreading globally. Bioeconomy is building bridges between biotechnology and economy as well as between science, industry, and society. Biotechnology, from its ancient origins up to the present is at the core of the scientific and innovative foundation of bioeconomy policies developed in numerous countries. The challenges and perspectives of bioeconomies are immense, from resource-efficient large-scale manufacturing of products such as chemicals, materials, food, pharmaceuticals, polymers, flavors, and fragrances to the production of new biomaterials and bioenergy in a sustainable and economic way for a growing world population. Key success factors for different countries working on the bioeconomy vary widely from high-tech bioeconomies, emerging diversified or diversified bioeconomies to advanced and basic primary sector bioeconomies. Despite the large variety of bioeconomies, several common elements are identified, which are simultaneously needed altogether.
Collapse
Affiliation(s)
- Alfredo Aguilar
- Task Force Bioeconomy, European Federation of Biotechnology, Parc Científic Barcelona Torres R+D+I, Baldiri Reixac 4-8, 08028, Barcelona, Spain
| | - Tomasz Twardowski
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, 61704, Poland
| | - Roland Wohlgemuth
- Institute of Technical Biochemistry, Lodz University of Technology, Lodz, 90-924, Poland.,Swiss Coordination Committee for Biotechnology, Zürich, 8021, Switzerland.,ESAB (EFB Section on Applied Biocatalysis), Frankfurt, 60486, Germany
| |
Collapse
|
29
|
Ioannidis JPA. Reproducible pharmacokinetics. J Pharmacokinet Pharmacodyn 2019; 46:111-116. [PMID: 31004315 DOI: 10.1007/s10928-019-09621-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 02/05/2019] [Indexed: 01/31/2023]
Abstract
Reproducibility is a highly desired feature of scientific investigation in general, and it has special connotations for research in pharmacokinetics, a vibrant field with over 500,000 publications to-date. It is important to be able to differentiate between genuine heterogeneity in pharmacokinetic parameters from heterogeneity that is due to errors and biases. This overview discusses efforts and opportunities to diminish the latter type of undesirable heterogeneity. Several reporting and research guidance documents and standards have been proposed for pharmacokinetic studies, but their adoption is still rather limited. Quality problems in the methods used and model evaluations have been examined in some empirical studies of the literature. Standardization of statistical and laboratory tools and procedures can be improved in the field. Only a small fraction of pharmacokinetic studies become pre-registered and only 9995 such studies have been registered in ClinicalTrials.gov as of August 2018. It is likely that most pharmacokinetic studies remain unpublished. Publication bias affecting the results and inferences has been documented in case studies, but its exact extent is unknown for the field at-large. The use of meta-analyses in the field is still limited. Availability of raw data, detailed protocols, software and codes is hopefully improving with multiple ongoing initiatives. Several research practices can contribute to greater transparency and reproducibility for pharmacokinetic investigations.
Collapse
Affiliation(s)
- John P A Ioannidis
- Departments of Medicine, Health Research and Policy, Biomedical Data Science, and Statistics, Stanford Prevention Research Center, Meta-Research Innovation Center at Stanford (METRICS), Stanford University, 1265 Welch Road, Medical School Office Building Room X306, Stanford, CA, 94305, USA.
| |
Collapse
|
30
|
Erb TJ. Back to the future: Why we need enzymology to build a synthetic metabolism of the future. Beilstein J Org Chem 2019; 15:551-557. [PMID: 30873239 PMCID: PMC6404388 DOI: 10.3762/bjoc.15.49] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Accepted: 01/29/2019] [Indexed: 12/26/2022] Open
Abstract
Biology is turning from an analytical into a synthetic discipline. This is especially apparent in the field of metabolic engineering, where the concept of synthetic metabolism has been recently developed. Compared to classical metabolic engineering efforts, synthetic metabolism aims at creating novel metabolic networks in a rational fashion from bottom-up. However, while the theoretical design of synthetic metabolic networks has made tremendous progress, the actual realization of such synthetic pathways is still lacking behind. This is mostly because of our limitations in enzyme discovery and engineering to provide the parts required to build synthetic metabolism. Here I discuss the current challenges and limitations in synthetic metabolic engineering and elucidate how modern day enzymology can help to build a synthetic metabolism of the future.
Collapse
Affiliation(s)
- Tobias J Erb
- Max-Planck-Institute for Terrestrial Microbiology, Department of Biochemistry & Synthetic Metabolism, Karl-von-Frisch-Str. 10, D-35043 Marburg, Germany.,LOEWE Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany
| |
Collapse
|
31
|
Discovering novel hydrolases from hot environments. Biotechnol Adv 2018; 36:2077-2100. [PMID: 30266344 DOI: 10.1016/j.biotechadv.2018.09.004] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 09/21/2018] [Accepted: 09/24/2018] [Indexed: 12/12/2022]
Abstract
Novel hydrolases from hot and other extreme environments showing appropriate performance and/or novel functionalities and new approaches for their systematic screening are of great interest for developing new processes, for improving safety, health and environment issues. Existing processes could benefit as well from their properties. The workflow, based on the HotZyme project, describes a multitude of technologies and their integration from discovery to application, providing new tools for discovering, identifying and characterizing more novel thermostable hydrolases with desired functions from hot terrestrial and marine environments. To this end, hot springs worldwide were mined, resulting in hundreds of environmental samples and thousands of enrichment cultures growing on polymeric substrates of industrial interest. Using high-throughput sequencing and bioinformatics, 15 hot spring metagenomes, as well as several sequenced isolate genomes and transcriptomes were obtained. To facilitate the discovery of novel hydrolases, the annotation platform Anastasia and a whole-cell bioreporter-based functional screening method were developed. Sequence-based screening and functional screening together resulted in about 100 potentially new hydrolases of which more than a dozen have been characterized comprehensively from a biochemical and structural perspective. The characterized hydrolases include thermostable carboxylesterases, enol lactonases, quorum sensing lactonases, gluconolactonases, epoxide hydrolases, and cellulases. Apart from these novel thermostable hydrolases, the project generated an enormous amount of samples and data, thereby allowing the future discovery of even more novel enzymes.
Collapse
|
32
|
An empirical analysis of enzyme function reporting for experimental reproducibility: Missing/incomplete information in published papers. Biophys Chem 2018; 242:22-27. [PMID: 30195215 DOI: 10.1016/j.bpc.2018.08.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 08/16/2018] [Accepted: 08/20/2018] [Indexed: 11/21/2022]
Abstract
A key component of enzyme function experiments is reporting of considerable metadata, to allow other researchers to replicate, interpret properly or use fully the results. This paper evaluates the completeness of enzyme function data reporting for reproducibility. We present a detailed examination of 11 recent papers (and their supplementary material) from two leading journals. We found that in every paper we were not able to collect some critical information necessary to reproduce the enzyme function findings. Study of 100 papers used by the SABIO-RK database confirmed some of the most common omissions: concentration of enzyme or its substrates, identity of counter-ions in buffers. A computer system should be better at preventing such omissions, helping secure the scientific record. Many of the omissions found would be trapped by the currently available version of STRENDA DB.
Collapse
|