-
Something wrong with this record ?
Mutation Maker, An Open Source Oligo Design Platform for Protein Engineering
K. Hiraga, P. Mejzlik, M. Marcisin, N. Vostrosablin, A. Gromek, J. Arnold, S. Wiewiora, R. Svarba, D. Prihoda, K. Clarova, O. Klempir, J. Navratil, O. Tupa, A. Vazquez-Otero, MW. Walas, L. Holy, M. Spale, J. Kotowski, D. Dzamba, G. Temesi, JH....
Language English Country United States
Document type Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- Algorithms MeSH
- Escherichia coli genetics MeSH
- Gene Library MeSH
- Codon genetics MeSH
- Mutation * MeSH
- Mutagenesis, Site-Directed methods MeSH
- Mutagenesis * MeSH
- Mutant Proteins MeSH
- Oligonucleotides genetics MeSH
- Computer Simulation MeSH
- Proteins genetics MeSH
- Directed Molecular Evolution methods MeSH
- Software * MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Protein engineering is the discipline of developing useful proteins for applications in research, therapeutic, and industrial processes by modification of naturally occurring proteins or by invention of de novo proteins. Modern protein engineering relies on the ability to rapidly generate and screen diverse libraries of mutant proteins. However, design of mutant libraries is typically hampered by scale and complexity, necessitating development of advanced automation and optimization tools that can improve efficiency and accuracy. At present, automated library design tools are functionally limited or not freely available. To address these issues, we developed Mutation Maker, an open source mutagenic oligo design software for large-scale protein engineering experiments. Mutation Maker is not only specifically tailored to multisite random and directed mutagenesis protocols, but also pioneers bespoke mutagenic oligo design for de novo gene synthesis workflows. Enabled by a novel bundle of orchestrated heuristics, optimization, constraint-satisfaction and backtracking algorithms, Mutation Maker offers a versatile toolbox for gene diversification design at industrial scale. Supported by in silico simulations and compelling experimental validation data, Mutation Maker oligos produce diverse gene libraries at high success rates irrespective of genes or vectors used. Finally, Mutation Maker was created as an extensible platform on the notion that directed evolution techniques will continue to evolve and revolutionize current and future-oriented applications.
AI and Big Data Analytics MSD Czech Republic s r o 150 00 Prague Czech Republic
Protein Engineering MRL Merck and Co Inc Rahway New Jersey 07065 United States
R and D Informatics Solutions MSD Czech Republic s r o 150 00 Prague Czech Republic
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc22004609
- 003
- CZ-PrNML
- 005
- 20220127145121.0
- 007
- ta
- 008
- 220113s2021 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1021/acssynbio.0c00542 $2 doi
- 035 __
- $a (PubMed)33433999
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Hiraga, Kaori $u Protein Engineering, MRL, Merck & Co. Inc., Rahway, New Jersey 07065, United States
- 245 10
- $a Mutation Maker, An Open Source Oligo Design Platform for Protein Engineering / $c K. Hiraga, P. Mejzlik, M. Marcisin, N. Vostrosablin, A. Gromek, J. Arnold, S. Wiewiora, R. Svarba, D. Prihoda, K. Clarova, O. Klempir, J. Navratil, O. Tupa, A. Vazquez-Otero, MW. Walas, L. Holy, M. Spale, J. Kotowski, D. Dzamba, G. Temesi, JH. Russell, NM. Marshall, GS. Murphy, DA. Bitton
- 520 9_
- $a Protein engineering is the discipline of developing useful proteins for applications in research, therapeutic, and industrial processes by modification of naturally occurring proteins or by invention of de novo proteins. Modern protein engineering relies on the ability to rapidly generate and screen diverse libraries of mutant proteins. However, design of mutant libraries is typically hampered by scale and complexity, necessitating development of advanced automation and optimization tools that can improve efficiency and accuracy. At present, automated library design tools are functionally limited or not freely available. To address these issues, we developed Mutation Maker, an open source mutagenic oligo design software for large-scale protein engineering experiments. Mutation Maker is not only specifically tailored to multisite random and directed mutagenesis protocols, but also pioneers bespoke mutagenic oligo design for de novo gene synthesis workflows. Enabled by a novel bundle of orchestrated heuristics, optimization, constraint-satisfaction and backtracking algorithms, Mutation Maker offers a versatile toolbox for gene diversification design at industrial scale. Supported by in silico simulations and compelling experimental validation data, Mutation Maker oligos produce diverse gene libraries at high success rates irrespective of genes or vectors used. Finally, Mutation Maker was created as an extensible platform on the notion that directed evolution techniques will continue to evolve and revolutionize current and future-oriented applications.
- 650 _2
- $a algoritmy $7 D000465
- 650 _2
- $a kodon $x genetika $7 D003062
- 650 _2
- $a počítačová simulace $7 D003198
- 650 _2
- $a řízená evoluce molekul $x metody $7 D019020
- 650 _2
- $a Escherichia coli $x genetika $7 D004926
- 650 _2
- $a genová knihovna $7 D015723
- 650 12
- $a mutageneze $7 D016296
- 650 _2
- $a mutageneze cílená $x metody $7 D016297
- 650 _2
- $a mutantní proteiny $7 D050505
- 650 12
- $a mutace $7 D009154
- 650 _2
- $a oligonukleotidy $x genetika $7 D009841
- 650 _2
- $a proteiny $x genetika $7 D011506
- 650 12
- $a software $7 D012984
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Mejzlik, Petr $u AI & Big Data Analytics, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Marcisin, Matej $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Vostrosablin, Nikita $u AI & Big Data Analytics, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Gromek, Anna $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Arnold, Jakub $u AI & Big Data Analytics, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Wiewiora, Sebastian $u AI & Big Data Analytics, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Svarba, Rastislav $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Prihoda, David $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic $u Department of Informatics and Chemistry, Faculty of Chemical Technology, University of Chemistry and Technology, 166 28 Prague, Czech Republic
- 700 1_
- $a Clarova, Kamila $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic $u Department of Informatics and Chemistry, Faculty of Chemical Technology, University of Chemistry and Technology, 166 28 Prague, Czech Republic
- 700 1_
- $a Klempir, Ondrej $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Navratil, Josef $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Tupa, Ondrej $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Vazquez-Otero, Alejandro $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Walas, Marcin W $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Holy, Lukas $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Spale, Martin $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Kotowski, Jakub $u AI & Big Data Analytics, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Dzamba, David $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Temesi, Gergely $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 700 1_
- $a Russell, Jay H $u Protein Engineering, MRL, Merck & Co. Inc., Rahway, New Jersey 07065, United States
- 700 1_
- $a Marshall, Nicholas M $u Protein Engineering, MRL, Merck & Co. Inc., Rahway, New Jersey 07065, United States
- 700 1_
- $a Murphy, Grant S $u Protein Engineering, MRL, Merck & Co. Inc., Rahway, New Jersey 07065, United States
- 700 1_
- $a Bitton, Danny A $u R&D Informatics Solutions, MSD Czech Republic s.r.o., 150 00 Prague, Czech Republic
- 773 0_
- $w MED00186200 $t ACS synthetic biology $x 2161-5063 $g Roč. 10, č. 2 (2021), s. 357-370
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/33433999 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20220113 $b ABA008
- 991 __
- $a 20220127145117 $b ABA008
- 999 __
- $a ok $b bmc $g 1751923 $s 1155758
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2021 $b 10 $c 2 $d 357-370 $e 20210112 $i 2161-5063 $m ACS synthetic biology $n ACS synth. biol. $x MED00186200
- LZP __
- $a Pubmed-20220113