Dick B Janssen

Dr. Dick B Janssen


Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 January 2014 in Protein Engineering, Design and Selection
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Journal Article
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HWHein J. Wijma
Hein J. Wijma
RFRobert J. Floor
Robert J. Floor
PJPeter A. Jekel
Peter A. Jekel
DBDavid Baker
David Baker
SMSiewert-Jan Marrink
Siewert-Jan Marrink
DJDick B Janssen
Dick B Janssen
The ability to engineer enzymes and other proteins to any desired stability would have wide-ranging applications. Here, we demonstrate that computational design of a library with chemically diverse stabilizing mutations allows the engineering of drastically stabilized and fully functional variants of the mesostable enzyme limonene epoxide hydrolase. First, point mutations were selected if they significantly improved the predicted free energy of protein folding. Disulfide bonds were designed using sampling of backbone conformational space, which tripled the number of experimentally stabilizing disulfide bridges. Next, orthogonal in silico screening steps were used to remove chemically unreasonable mutations and mutations that are predicted to increase protein flexibility. The resulting library of 64 variants was experimentally screened, which revealed 21 (pairs of) stabilizing mutations located both in relatively rigid and in flexible areas of the enzyme. Finally, combining 10–12 of these confirmed mutations resulted in multi-site mutants with an increase in apparent melting temperature from 50 to 85°C, enhanced catalytic activity, preserved regioselectivity and a >250-fold longer half-life. The developed Framework for Rapid Enzyme Stabilization by Computational libraries (FRESCO) requires far less screening than conventional directed evolution.

16 November 2005 in Environmental Microbiology
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DJDick B Janssen
Dick B Janssen
IDInez J. T. Dinkla
Inez J. T. Dinkla
GPGerrit J. Poelarends
Gerrit J. Poelarends
PTPeter Terpstra
Peter Terpstra
Summary: Bacterial dehalogenases catalyse the cleavage of carbon‐halogen bonds, which is a key step in aerobic mineralization pathways of many halogenated compounds that occur as environmental pollutants. There is a broad range of dehalogenases, which can be classified in different protein superfamilies and have fundamentally different catalytic mechanisms. Identical dehalogenases have repeatedly been detected in organisms that were isolated at different geographical locations, indicating that only a restricted number of sequences are used for a certain dehalogenation reaction in organohalogen‐utilizing organisms. At the same time, massive random sequencing of environmental DNA, and microbial genome sequencing projects have shown that there is a large diversity of dehalogenase sequences that is not employed by known catabolic pathways. The corresponding proteins may have novel functions and selectivities that could be valuable for biotransformations in the future. Apparently, traditional enrichment and metagenome approaches explore different segments of sequence space. This is also observed with alkane hydroxylases, a category of proteins that can be detected on basis of conserved sequence motifs and for which a large number of sequences has been found in isolated bacterial cultures and genomic databases. It is likely that ongoing genetic adaptation, with the recruitment of silent sequences into functional catabolic routes and evolution of substrate range by mutations in structural genes, will further enhance the catabolic potential of bacteria toward synthetic organohalogens and ultimately contribute to cleansing the environment of these toxic and recalcitrant chemicals.

21 May 2018 in Nature Chemical Biology
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RLRuifeng Li
Ruifeng Li
HWHein J. Wijma
Hein J. Wijma
LSLu Song
Lu Song
YCYinglu Cui
Yinglu Cui
MOMarleen Otzen
Marleen Otzen
BWBian Wu
Bian Wu

28 April 2008 in ChemBioChem
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GHGhannia Hasnaoui‐Dijoux
Ghannia Hasnaoui‐Dijoux
MEMaja Majerić Elenkov
Maja Majerić Elenkov
JSJeffrey H. Lutje Spelberg
Jeffrey H. Lutje Spelberg
BHBernhard Hauer
Bernhard Hauer
DJDick B Janssen
Dick B Janssen

4 February 2015 in Angewandte Chemie International Edition
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HWHein J. Wijma
Hein J. Wijma
RFRobert J. Floor
Robert J. Floor
SBSinisa Bjelic
Sinisa Bjelic
SMSiewert-Jan Marrink
Siewert-Jan Marrink
DBDavid Baker
David Baker
DJDick B Janssen
Dick B Janssen

1 April 2006 in Applied and Environmental Microbiology
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Journal Article
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BLBert van Loo
Bert van Loo
JKJaap Kingma
Jaap Kingma
MAMichael Arand
Michael Arand
MWMarcel G. Wubbolts
Marcel G. Wubbolts
DJDick B Janssen
Dick B Janssen
Epoxide hydrolases play an important role in the biodegradation of organic compounds and are potentially useful in enantioselective biocatalysis. An analysis of various genomic databases revealed that about 20% of sequenced organisms contain one or more putative epoxide hydrolase genes. They were found in all domains of life, and many fungi and actinobacteria contain several putative epoxide hydrolase-encoding genes. Multiple sequence alignments of epoxide hydrolases with other known and putative α/β-hydrolase fold enzymes that possess a nucleophilic aspartate revealed that these enzymes can be classified into eight phylogenetic groups that all contain putative epoxide hydrolases. To determine their catalytic activities, 10 putative bacterial epoxide hydrolase genes and 2 known bacterial epoxide hydrolase genes were cloned and overexpressed in Escherichia coli . The production of active enzyme was strongly improved by fusion to the maltose binding protein (MalE), which prevented inclusion body formation and facilitated protein purification. Eight of the 12 fusion proteins were active toward one or more of the 21 epoxides that were tested, and they converted both terminal and nonterminal epoxides. Four of the new epoxide hydrolases showed an uncommon enantiopreference for meso -epoxides and/or terminal aromatic epoxides, which made them suitable for the production of enantiopure ( S , S )-diols and ( R )-epoxides. The results show that the expression of epoxide hydrolase genes that are detected by analyses of genomic databases is a useful strategy for obtaining new biocatalysts.