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Mao M, Ahrens L, Luka J, Contreras F, Kurkina T, Bienstein M, Sárria Pereira de Passos M, Schirinzi G, Mehn D, Valsesia A, Desmet C, Serra MÁ, Gilliland D, Schwaneberg U. Material-specific binding peptides empower sustainable innovations in plant health, biocatalysis, medicine and microplastic quantification. Chem Soc Rev 2024; 53:6445-6510. [PMID: 38747901 DOI: 10.1039/d2cs00991a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2024]
Abstract
Material-binding peptides (MBPs) have emerged as a diverse and innovation-enabling class of peptides in applications such as plant-/human health, immobilization of catalysts, bioactive coatings, accelerated polymer degradation and analytics for micro-/nanoplastics quantification. Progress has been fuelled by recent advancements in protein engineering methodologies and advances in computational and analytical methodologies, which allow the design of, for instance, material-specific MBPs with fine-tuned binding strength for numerous demands in material science applications. A genetic or chemical conjugation of second (biological, chemical or physical property-changing) functionality to MBPs empowers the design of advanced (hybrid) materials, bioactive coatings and analytical tools. In this review, we provide a comprehensive overview comprising naturally occurring MBPs and their function in nature, binding properties of short man-made MBPs (<20 amino acids) mainly obtained from phage-display libraries, and medium-sized binding peptides (20-100 amino acids) that have been reported to bind to metals, polymers or other industrially produced materials. The goal of this review is to provide an in-depth understanding of molecular interactions between materials and material-specific binding peptides, and thereby empower the use of MBPs in material science applications. Protein engineering methodologies and selected examples to tailor MBPs toward applications in agriculture with a focus on plant health, biocatalysis, medicine and environmental monitoring serve as examples of the transformative power of MBPs for various industrial applications. An emphasis will be given to MBPs' role in detecting and quantifying microplastics in high throughput, distinguishing microplastics from other environmental particles, and thereby assisting to close an analytical gap in food safety and monitoring of environmental plastic pollution. In essence, this review aims to provide an overview among researchers from diverse disciplines in respect to material-(specific) binding of MBPs, protein engineering methodologies to tailor their properties to application demands, re-engineering for material science applications using MBPs, and thereby inspire researchers to employ MBPs in their research.
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Affiliation(s)
- Maochao Mao
- Lehrstuhl für Biotechnologie, RWTH Aachen University, Worringerweg 3, 52074 Aachen, Germany.
| | - Leon Ahrens
- Lehrstuhl für Biotechnologie, RWTH Aachen University, Worringerweg 3, 52074 Aachen, Germany.
| | - Julian Luka
- Lehrstuhl für Biotechnologie, RWTH Aachen University, Worringerweg 3, 52074 Aachen, Germany.
| | - Francisca Contreras
- Lehrstuhl für Biotechnologie, RWTH Aachen University, Worringerweg 3, 52074 Aachen, Germany.
| | - Tetiana Kurkina
- Lehrstuhl für Biotechnologie, RWTH Aachen University, Worringerweg 3, 52074 Aachen, Germany.
| | - Marian Bienstein
- Lehrstuhl für Biotechnologie, RWTH Aachen University, Worringerweg 3, 52074 Aachen, Germany.
| | | | | | - Dora Mehn
- European Commission, Joint Research Centre (JRC), Ispra, Italy
| | - Andrea Valsesia
- European Commission, Joint Research Centre (JRC), Ispra, Italy
| | - Cloé Desmet
- European Commission, Joint Research Centre (JRC), Ispra, Italy
| | | | | | - Ulrich Schwaneberg
- Lehrstuhl für Biotechnologie, RWTH Aachen University, Worringerweg 3, 52074 Aachen, Germany.
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2
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Bzówka M, Mitusińska K, Raczyńska A, Skalski T, Samol A, Bagrowska W, Magdziarz T, Góra A. Evolution of tunnels in α/β-hydrolase fold proteins—What can we learn from studying epoxide hydrolases? PLoS Comput Biol 2022; 18:e1010119. [PMID: 35580137 PMCID: PMC9140254 DOI: 10.1371/journal.pcbi.1010119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 05/27/2022] [Accepted: 04/19/2022] [Indexed: 12/27/2022] Open
Abstract
The evolutionary variability of a protein’s residues is highly dependent on protein region and function. Solvent-exposed residues, excluding those at interaction interfaces, are more variable than buried residues whereas active site residues are considered to be conserved. The abovementioned rules apply also to α/β-hydrolase fold proteins—one of the oldest and the biggest superfamily of enzymes with buried active sites equipped with tunnels linking the reaction site with the exterior. We selected soluble epoxide hydrolases as representative of this family to conduct the first systematic study on the evolution of tunnels. We hypothesised that tunnels are lined by mostly conserved residues, and are equipped with a number of specific variable residues that are able to respond to evolutionary pressure. The hypothesis was confirmed, and we suggested a general and detailed way of the tunnels’ evolution analysis based on entropy values calculated for tunnels’ residues. We also found three different cases of entropy distribution among tunnel-lining residues. These observations can be applied for protein reengineering mimicking the natural evolution process. We propose a ‘perforation’ mechanism for new tunnels design via the merging of internal cavities or protein surface perforation. Based on the literature data, such a strategy of new tunnel design could significantly improve the enzyme’s performance and can be applied widely for enzymes with buried active sites. So far very little is known about proteins tunnels evolution. The goal of this study is to evaluate the evolution of tunnels in the family of soluble epoxide hydrolases—representatives of numerous α/β-hydrolase fold enzymes. As a result two types of tunnels evolution analysis were proposed (a general and a detailed approach), as well as a ‘perforation’ mechanism which can mimic native evolution in proteins and can be used as an additional strategy for enzymes redesign.
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Affiliation(s)
- Maria Bzówka
- Tunneling Group, Biotechnology Centre, Silesian University of Technology, Gliwice, Poland
| | - Karolina Mitusińska
- Tunneling Group, Biotechnology Centre, Silesian University of Technology, Gliwice, Poland
| | - Agata Raczyńska
- Tunneling Group, Biotechnology Centre, Silesian University of Technology, Gliwice, Poland
| | - Tomasz Skalski
- Biotechnology Centre, Silesian University of Technology, Gliwice, Poland
| | - Aleksandra Samol
- Tunneling Group, Biotechnology Centre, Silesian University of Technology, Gliwice, Poland
| | - Weronika Bagrowska
- Tunneling Group, Biotechnology Centre, Silesian University of Technology, Gliwice, Poland
| | - Tomasz Magdziarz
- Tunneling Group, Biotechnology Centre, Silesian University of Technology, Gliwice, Poland
| | - Artur Góra
- Tunneling Group, Biotechnology Centre, Silesian University of Technology, Gliwice, Poland
- * E-mail:
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3
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Chen Q, Xiao Y, Zhang W, Mu W. Current methods and applications in computational protein design for food industry. Crit Rev Food Sci Nutr 2019; 60:3259-3270. [DOI: 10.1080/10408398.2019.1682513] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Qiuming Chen
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Yaqin Xiao
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Wenli Zhang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Wanmeng Mu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
- International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
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4
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Ebert MC, Pelletier JN. Computational tools for enzyme improvement: why everyone can - and should - use them. Curr Opin Chem Biol 2017; 37:89-96. [PMID: 28231515 DOI: 10.1016/j.cbpa.2017.01.021] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 01/25/2017] [Accepted: 01/30/2017] [Indexed: 12/12/2022]
Abstract
This review presents computational methods that experimentalists can readily use to create smart libraries for enzyme engineering and to obtain insights into protein-substrate complexes. Computational tools have the reputation of being hard to use and inaccurate compared to experimental methods in enzyme engineering, yet they are essential to probe datasets of ever-increasing size and complexity. In recent years, bioinformatics groups have made a huge leap forward in providing user-friendly interfaces and accurate algorithms for experimentalists. These methods guide efficient experimental planning and allow the enzyme engineer to rationalize time and resources. Computational tools nevertheless face challenges in the realm of transient modern technology.
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Affiliation(s)
- Maximilian Ccjc Ebert
- Département de biochimie and Center for Green Chemistry and Catalysis (CGCC), Université de Montréal, Montréal, QC H3T 1J4, Canada; PROTEO, The Québec Network for Research on Protein Function, Engineering and Applications, Québec, QC G1V 0A6, Canada
| | - Joelle N Pelletier
- Département de biochimie and Center for Green Chemistry and Catalysis (CGCC), Université de Montréal, Montréal, QC H3T 1J4, Canada; PROTEO, The Québec Network for Research on Protein Function, Engineering and Applications, Québec, QC G1V 0A6, Canada; Département de chimie, Université de Montréal, Montréal, QC H3T 1J4, Canada.
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5
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Zhao J, Frauenkron-Machedjou VJ, Kardashliev T, Ruff AJ, Zhu L, Bocola M, Schwaneberg U. Amino acid substitutions in random mutagenesis libraries: lessons from analyzing 3000 mutations. Appl Microbiol Biotechnol 2017; 101:3177-3187. [DOI: 10.1007/s00253-016-8035-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2016] [Revised: 09/26/2016] [Accepted: 11/26/2016] [Indexed: 12/27/2022]
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6
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Abstract
Mutagenesis Assistant Program (MAP) is a web-based statistical tool to develop directed evolution strategies by investigating the consequences at the amino acid level of the mutational biases of random mutagenesis methods on any given gene. The latest development of the program, the MAP(2.0)3D server, correlates the generated amino acid substitution patterns of a specific random mutagenesis method to the sequence and structural information of the target protein. The combined information can be used to select an experimental strategy that improves the chances of obtaining functionally efficient and/or stable enzyme variants. Hence, the MAP(2.0)3D server facilitates the "in silico" prescreening of the target gene by predicting the amino acid diversity generated in a random mutagenesis library. Here, we describe the features of MAP(2.0)3D server by analyzing, as an example, the cytochrome P450BM3 monooxygenase (CYP102A1). The MAP(2.0)3D server is available publicly at http://map.jacobs-university.de/map3d.html.
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Affiliation(s)
- Rajni Verma
- Department of Chemistry, Wichita State University, Wichita, Kansas, USA
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7
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Cheng F, Zhu L, Schwaneberg U. Directed evolution 2.0: improving and deciphering enzyme properties. Chem Commun (Camb) 2015; 51:9760-72. [DOI: 10.1039/c5cc01594d] [Citation(s) in RCA: 100] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
A KnowVolution: knowledge gaining directed evolution including four phases is proposed in this feature article, which generates improved enzyme variants and molecular understanding.
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Affiliation(s)
- Feng Cheng
- Lehrstuhl für Biotechnologie
- RWTH Aachen University
- 52074 Aachen
- Germany
| | - Leilei Zhu
- Lehrstuhl für Biotechnologie
- RWTH Aachen University
- 52074 Aachen
- Germany
| | - Ulrich Schwaneberg
- Lehrstuhl für Biotechnologie
- RWTH Aachen University
- 52074 Aachen
- Germany
- DWI-Leibniz Institute for Interactive Materials
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8
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Touw WG, Vriend G. BDB: Databank of PDB files with consistent B-factors. Protein Eng Des Sel 2014; 27:457-62. [DOI: 10.1093/protein/gzu044] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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9
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Zhao J, Kardashliev T, Joëlle Ruff A, Bocola M, Schwaneberg U. Lessons from diversity of directed evolution experiments by an analysis of 3,000 mutations. Biotechnol Bioeng 2014; 111:2380-9. [DOI: 10.1002/bit.25302] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2014] [Revised: 05/14/2014] [Accepted: 05/27/2014] [Indexed: 12/20/2022]
Affiliation(s)
- Jing Zhao
- Lehrstuhl für Biotechnologie; RWTH Aachen University; Worringerweg 3 52074 Aachen Germany
| | - Tsvetan Kardashliev
- Lehrstuhl für Biotechnologie; RWTH Aachen University; Worringerweg 3 52074 Aachen Germany
| | - Anna Joëlle Ruff
- Lehrstuhl für Biotechnologie; RWTH Aachen University; Worringerweg 3 52074 Aachen Germany
| | - Marco Bocola
- Lehrstuhl für Biotechnologie; RWTH Aachen University; Worringerweg 3 52074 Aachen Germany
| | - Ulrich Schwaneberg
- Lehrstuhl für Biotechnologie; RWTH Aachen University; Worringerweg 3 52074 Aachen Germany
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10
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Probabilistic methods in directed evolution: library size, mutation rate, and diversity. Methods Mol Biol 2014; 1179:261-78. [PMID: 25055784 DOI: 10.1007/978-1-4939-1053-3_18] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Directed evolution has emerged as an important tool for engineering proteins with improved or novel properties. Because of their inherent reliance on randomness, directed evolution protocols are amenable to probabilistic modeling and analysis. This chapter summarizes and reviews in a nonmathematical way some of the probabilistic works related to directed evolution, with particular focus on three of the most widely used methods: saturation mutagenesis, error-prone PCR, and in vitro recombination. The ultimate aim is to provide the reader with practical information to guide the planning and design of directed evolution studies. Importantly, the applications and locations of freely available computational resources to assist with this process are described in detail.
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11
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Ruff AJ, Kardashliev T, Dennig A, Schwaneberg U. The Sequence Saturation Mutagenesis (SeSaM) method. Methods Mol Biol 2014; 1179:45-68. [PMID: 25055770 DOI: 10.1007/978-1-4939-1053-3_4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Sequence Saturation Mutagenesis (SeSaM) is a random mutagenesis method developed to overcome the limitations of existing error-prone PCR (epPCR) protocols. SeSaM is advantageous with respect to (1) elimination of mutagenic "hot spots", (2) increase in frequency of subsequent nucleotide substitutions, (3) control over the mutational bias through the utilization of universal base analogs, and, consequently, (4) the prospect of generating transversion-enriched mutant libraries. These advanced features lead to chemically diverse mutant libraries on the protein level, essentially making SeSaM a complementary technology to transition biased epPCR mutagenesis methods.
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Affiliation(s)
- Anna Joëlle Ruff
- Lehrstuhl für Biotechnologie, RWTH Aachen University, Worringerweg 3, Aachen, 52074, Germany
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12
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Tee KL, Wong TS. Polishing the craft of genetic diversity creation in directed evolution. Biotechnol Adv 2013; 31:1707-21. [PMID: 24012599 DOI: 10.1016/j.biotechadv.2013.08.021] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2013] [Revised: 08/31/2013] [Accepted: 08/31/2013] [Indexed: 12/25/2022]
Abstract
Genetic diversity creation is a core technology in directed evolution where a high quality mutant library is crucial to its success. Owing to its importance, the technology in genetic diversity creation has seen rapid development over the years and its application has diversified into other fields of scientific research. The advances in molecular cloning and mutagenesis since 2008 were reviewed. Specifically, new cloning techniques were classified based on their principles of complementary overhangs, homologous sequences, overlapping PCR and megaprimers and the advantages, drawbacks and performances of these methods were highlighted. New mutagenesis methods developed for random mutagenesis, focused mutagenesis and DNA recombination were surveyed. The technical requirements of these methods and the mutational spectra were compared and discussed with references to commonly used techniques. The trends of mutant library preparation were summarised. Challenges in genetic diversity creation were discussed with emphases on creating "smart" libraries, controlling the mutagenesis spectrum and specific challenges in each group of mutagenesis methods. An outline of the wider applications of genetic diversity creation includes genome engineering, viral evolution, metagenomics and a study of protein functions. The review ends with an outlook for genetic diversity creation and the prospective developments that can have future impact in this field.
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Affiliation(s)
- Kang Lan Tee
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, England, United Kingdom
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13
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Verma R, Schwaneberg U, Roccatano D. Computer-Aided Protein Directed Evolution: a Review of Web Servers, Databases and other Computational Tools for Protein Engineering. Comput Struct Biotechnol J 2012; 2:e201209008. [PMID: 24688649 PMCID: PMC3962222 DOI: 10.5936/csbj.201209008] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2012] [Revised: 10/07/2012] [Accepted: 10/12/2012] [Indexed: 12/01/2022] Open
Abstract
The combination of computational and directed evolution methods has proven a winning strategy for protein engineering. We refer to this approach as computer-aided protein directed evolution (CAPDE) and the review summarizes the recent developments in this rapidly growing field. We will restrict ourselves to overview the availability, usability and limitations of web servers, databases and other computational tools proposed in the last five years. The goal of this review is to provide concise information about currently available computational resources to assist the design of directed evolution based protein engineering experiment.
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Affiliation(s)
- Rajni Verma
- School of Engineering and Science, Jacobs University Bremen, Campus Ring 1, 28759 Bremen, Germany ; Department of Biotechnology, RWTH Aachen University, Worringer Weg 1, 52074 Aachen, Germany
| | - Ulrich Schwaneberg
- Department of Biotechnology, RWTH Aachen University, Worringer Weg 1, 52074 Aachen, Germany
| | - Danilo Roccatano
- School of Engineering and Science, Jacobs University Bremen, Campus Ring 1, 28759 Bremen, Germany
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