Systems for in vivo hypermutation: a quest for scale and depth in directed evolution
Traditional approaches to the directed evolution of genes of interest (GOIs) place constraints on the scale of experimentation and depth of evolutionary search reasonably achieved. Engineered genetic systems that dramatically elevate the mutation of target GOIs in vivo relieve these constraints by e...
Ausführliche Beschreibung
Autor*in: |
Rix, Gordon [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
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2021transfer abstract |
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Umfang: |
7 |
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Übergeordnetes Werk: |
Enthalten in: Medical technology assessment of polysomnography, type 2: full PSG at home – night to night variability in Apnea Hypopnea Index (AHI) and Periodic Limb Movement Index (PLMI) - Arends-Derks, W. ELSEVIER, 2013, London |
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Übergeordnetes Werk: |
volume:64 ; year:2021 ; pages:20-26 ; extent:7 |
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DOI / URN: |
10.1016/j.cbpa.2021.02.008 |
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10.1016/j.cbpa.2021.02.008 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001566.pica (DE-627)ELV055726216 (ELSEVIER)S1367-5931(21)00030-2 DE-627 ger DE-627 rakwb eng 610 VZ 530 510 000 VZ 33.06 bkl Rix, Gordon verfasserin aut Systems for in vivo hypermutation: a quest for scale and depth in directed evolution 2021transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Traditional approaches to the directed evolution of genes of interest (GOIs) place constraints on the scale of experimentation and depth of evolutionary search reasonably achieved. Engineered genetic systems that dramatically elevate the mutation of target GOIs in vivo relieve these constraints by enabling continuous evolution, affording new strategies in the exploration of sequence space and fitness landscapes for GOIs. We describe various in vivo hypermutation systems for continuous evolution, discuss how different architectures for in vivo hypermutation facilitate evolutionary search scale and depth in their application to problems in protein evolution and engineering, and outline future opportunities for the field. Traditional approaches to the directed evolution of genes of interest (GOIs) place constraints on the scale of experimentation and depth of evolutionary search reasonably achieved. Engineered genetic systems that dramatically elevate the mutation of target GOIs in vivo relieve these constraints by enabling continuous evolution, affording new strategies in the exploration of sequence space and fitness landscapes for GOIs. We describe various in vivo hypermutation systems for continuous evolution, discuss how different architectures for in vivo hypermutation facilitate evolutionary search scale and depth in their application to problems in protein evolution and engineering, and outline future opportunities for the field. Protein evolution Elsevier Directed evolution Elsevier Continuous evolution Elsevier Hypermutation Elsevier Liu, Chang C. oth Enthalten in Current Biology Ltd Arends-Derks, W. ELSEVIER Medical technology assessment of polysomnography, type 2: full PSG at home – night to night variability in Apnea Hypopnea Index (AHI) and Periodic Limb Movement Index (PLMI) 2013 London (DE-627)ELV016604792 volume:64 year:2021 pages:20-26 extent:7 https://doi.org/10.1016/j.cbpa.2021.02.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_26 GBV_ILN_31 GBV_ILN_70 33.06 Mathematische Methoden der Physik VZ AR 64 2021 20-26 7 |
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10.1016/j.cbpa.2021.02.008 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001566.pica (DE-627)ELV055726216 (ELSEVIER)S1367-5931(21)00030-2 DE-627 ger DE-627 rakwb eng 610 VZ 530 510 000 VZ 33.06 bkl Rix, Gordon verfasserin aut Systems for in vivo hypermutation: a quest for scale and depth in directed evolution 2021transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Traditional approaches to the directed evolution of genes of interest (GOIs) place constraints on the scale of experimentation and depth of evolutionary search reasonably achieved. Engineered genetic systems that dramatically elevate the mutation of target GOIs in vivo relieve these constraints by enabling continuous evolution, affording new strategies in the exploration of sequence space and fitness landscapes for GOIs. We describe various in vivo hypermutation systems for continuous evolution, discuss how different architectures for in vivo hypermutation facilitate evolutionary search scale and depth in their application to problems in protein evolution and engineering, and outline future opportunities for the field. Traditional approaches to the directed evolution of genes of interest (GOIs) place constraints on the scale of experimentation and depth of evolutionary search reasonably achieved. Engineered genetic systems that dramatically elevate the mutation of target GOIs in vivo relieve these constraints by enabling continuous evolution, affording new strategies in the exploration of sequence space and fitness landscapes for GOIs. We describe various in vivo hypermutation systems for continuous evolution, discuss how different architectures for in vivo hypermutation facilitate evolutionary search scale and depth in their application to problems in protein evolution and engineering, and outline future opportunities for the field. Protein evolution Elsevier Directed evolution Elsevier Continuous evolution Elsevier Hypermutation Elsevier Liu, Chang C. oth Enthalten in Current Biology Ltd Arends-Derks, W. ELSEVIER Medical technology assessment of polysomnography, type 2: full PSG at home – night to night variability in Apnea Hypopnea Index (AHI) and Periodic Limb Movement Index (PLMI) 2013 London (DE-627)ELV016604792 volume:64 year:2021 pages:20-26 extent:7 https://doi.org/10.1016/j.cbpa.2021.02.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_26 GBV_ILN_31 GBV_ILN_70 33.06 Mathematische Methoden der Physik VZ AR 64 2021 20-26 7 |
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10.1016/j.cbpa.2021.02.008 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001566.pica (DE-627)ELV055726216 (ELSEVIER)S1367-5931(21)00030-2 DE-627 ger DE-627 rakwb eng 610 VZ 530 510 000 VZ 33.06 bkl Rix, Gordon verfasserin aut Systems for in vivo hypermutation: a quest for scale and depth in directed evolution 2021transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Traditional approaches to the directed evolution of genes of interest (GOIs) place constraints on the scale of experimentation and depth of evolutionary search reasonably achieved. Engineered genetic systems that dramatically elevate the mutation of target GOIs in vivo relieve these constraints by enabling continuous evolution, affording new strategies in the exploration of sequence space and fitness landscapes for GOIs. We describe various in vivo hypermutation systems for continuous evolution, discuss how different architectures for in vivo hypermutation facilitate evolutionary search scale and depth in their application to problems in protein evolution and engineering, and outline future opportunities for the field. Traditional approaches to the directed evolution of genes of interest (GOIs) place constraints on the scale of experimentation and depth of evolutionary search reasonably achieved. Engineered genetic systems that dramatically elevate the mutation of target GOIs in vivo relieve these constraints by enabling continuous evolution, affording new strategies in the exploration of sequence space and fitness landscapes for GOIs. We describe various in vivo hypermutation systems for continuous evolution, discuss how different architectures for in vivo hypermutation facilitate evolutionary search scale and depth in their application to problems in protein evolution and engineering, and outline future opportunities for the field. Protein evolution Elsevier Directed evolution Elsevier Continuous evolution Elsevier Hypermutation Elsevier Liu, Chang C. oth Enthalten in Current Biology Ltd Arends-Derks, W. ELSEVIER Medical technology assessment of polysomnography, type 2: full PSG at home – night to night variability in Apnea Hypopnea Index (AHI) and Periodic Limb Movement Index (PLMI) 2013 London (DE-627)ELV016604792 volume:64 year:2021 pages:20-26 extent:7 https://doi.org/10.1016/j.cbpa.2021.02.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_26 GBV_ILN_31 GBV_ILN_70 33.06 Mathematische Methoden der Physik VZ AR 64 2021 20-26 7 |
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Enthalten in Medical technology assessment of polysomnography, type 2: full PSG at home – night to night variability in Apnea Hypopnea Index (AHI) and Periodic Limb Movement Index (PLMI) London volume:64 year:2021 pages:20-26 extent:7 |
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Medical technology assessment of polysomnography, type 2: full PSG at home – night to night variability in Apnea Hypopnea Index (AHI) and Periodic Limb Movement Index (PLMI) |
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Medical technology assessment of polysomnography, type 2: full PSG at home – night to night variability in Apnea Hypopnea Index (AHI) and Periodic Limb Movement Index (PLMI) |
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10.1016/j.cbpa.2021.02.008 |
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610 530 510 000 |
title_sort |
systems for in vivo hypermutation: a quest for scale and depth in directed evolution |
title_auth |
Systems for in vivo hypermutation: a quest for scale and depth in directed evolution |
abstract |
Traditional approaches to the directed evolution of genes of interest (GOIs) place constraints on the scale of experimentation and depth of evolutionary search reasonably achieved. Engineered genetic systems that dramatically elevate the mutation of target GOIs in vivo relieve these constraints by enabling continuous evolution, affording new strategies in the exploration of sequence space and fitness landscapes for GOIs. We describe various in vivo hypermutation systems for continuous evolution, discuss how different architectures for in vivo hypermutation facilitate evolutionary search scale and depth in their application to problems in protein evolution and engineering, and outline future opportunities for the field. |
abstractGer |
Traditional approaches to the directed evolution of genes of interest (GOIs) place constraints on the scale of experimentation and depth of evolutionary search reasonably achieved. Engineered genetic systems that dramatically elevate the mutation of target GOIs in vivo relieve these constraints by enabling continuous evolution, affording new strategies in the exploration of sequence space and fitness landscapes for GOIs. We describe various in vivo hypermutation systems for continuous evolution, discuss how different architectures for in vivo hypermutation facilitate evolutionary search scale and depth in their application to problems in protein evolution and engineering, and outline future opportunities for the field. |
abstract_unstemmed |
Traditional approaches to the directed evolution of genes of interest (GOIs) place constraints on the scale of experimentation and depth of evolutionary search reasonably achieved. Engineered genetic systems that dramatically elevate the mutation of target GOIs in vivo relieve these constraints by enabling continuous evolution, affording new strategies in the exploration of sequence space and fitness landscapes for GOIs. We describe various in vivo hypermutation systems for continuous evolution, discuss how different architectures for in vivo hypermutation facilitate evolutionary search scale and depth in their application to problems in protein evolution and engineering, and outline future opportunities for the field. |
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title_short |
Systems for in vivo hypermutation: a quest for scale and depth in directed evolution |
url |
https://doi.org/10.1016/j.cbpa.2021.02.008 |
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author2 |
Liu, Chang C. |
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Liu, Chang C. |
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doi_str |
10.1016/j.cbpa.2021.02.008 |
up_date |
2024-07-06T18:21:36.476Z |
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