A divide-and-conquer approach to determine the Pareto frontier for optimization of protein engineering experiments
about
Structure-guided deimmunization of therapeutic proteinsMapping the Pareto optimal design space for a functionally deimmunized biotherapeutic candidateGauging triple stores with actual biological data.Protein deimmunization via structure-based design enables efficient epitope deletion at high mutational loadsAntibody humanization by structure-based computational protein design.Algorithms for optimizing cross-overs in DNA shuffling.Probing the mutational interplay between primary and promiscuous protein functions: a computational-experimental approachStructure-based design of combinatorial mutagenesis librariesDepletion of T cell epitopes in lysostaphin mitigates anti-drug antibody response and enhances antibacterial efficacy in vivo.Structure-based redesign of lysostaphin yields potent antistaphylococcal enzymes that evade immune cell surveillance.EpiSweep: Computationally Driven Reengineering of Therapeutic Proteins to Reduce Immunogenicity While Maintaining Function.Computationally optimized deimmunization libraries yield highly mutated enzymes with low immunogenicity and enhanced activity.Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.Design and engineering of deimmunized biotherapeutics.Searching for the Pareto frontier in multi-objective protein design.Computationally driven antibody engineering enables simultaneous humanization and thermostabilization.Structure-based redesign of proteins for minimal T-cell epitope contentComputationally-driven identification of antibody epitopes.A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters.DisruPPI: structure-based computational redesign algorithm for protein binding disruption.
P2860
Q28486242-2CFFF166-39DD-4E79-A6C2-DC278183F132Q28543006-5CE04EED-8C5D-4F1C-9341-F2C666A8D78AQ28727129-E741A779-6B86-49DE-AF2E-B41F540CC786Q30371474-F734BC34-3194-4D5A-BBF7-1D342E46E2DAQ30377654-5D2CE984-08A8-4295-A216-516DA43867AFQ34247878-992DEBE0-4AEA-4781-86CA-A2AF92DC3FC9Q34311541-0754EC06-E191-4227-BC89-67B401368B4AQ35547152-C4A5E751-3EC9-4DA6-9B8F-BEE91E23FE2AQ35638576-30134DE5-6846-4754-B592-D62A4EBF374BQ35751036-514B2381-1FF6-4531-BC89-9FD26AF2FC98Q36212517-A71714FD-F861-4FFB-9A88-F1B5B459049BQ36399908-2CD23609-A56B-4F43-B718-564E9CD18A74Q38287400-3DA2A219-559A-4F13-A10A-737BA842B207Q38870681-E4E155F1-9B77-4F39-8E11-1E349FA71BA7Q41579449-A7FA4A88-B6EA-464C-A86C-9AE94062825DQ41656698-67ADE4B1-6B01-47AB-8D3D-AB6C40FD8C8BQ41988381-2F629E95-2532-42A8-B87F-01470BB491CFQ47098066-3A16EF90-64AB-462B-850F-F4E8267EA6F6Q50421780-488FF0C5-1F4E-43C9-9607-E595DB085239Q55421652-4546C16B-A753-441C-8232-93876628875C
P2860
A divide-and-conquer approach to determine the Pareto frontier for optimization of protein engineering experiments
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
A divide-and-conquer approach ...... rotein engineering experiments
@en
A divide-and-conquer approach ...... rotein engineering experiments
@nl
type
label
A divide-and-conquer approach ...... rotein engineering experiments
@en
A divide-and-conquer approach ...... rotein engineering experiments
@nl
prefLabel
A divide-and-conquer approach ...... rotein engineering experiments
@en
A divide-and-conquer approach ...... rotein engineering experiments
@nl
P2093
P2860
P356
P1433
P1476
A divide-and-conquer approach ...... rotein engineering experiments
@en
P2093
Alan M Friedman
Chris Bailey-Kellogg
P2860
P304
P356
10.1002/PROT.23237
P407
P577
2011-12-16T00:00:00Z