基本信息
浏览量:53
职业迁徙
个人简介
Paul Dalby leads research at UCL on protein engineering, formulation and manufacturing, for therapeutic proteins, viral vectors, vaccines and novel enzyme biocatalysts.
He develops new protein engineering and formulation strategies for improved stability and function of biocatalytic enzymes and therapeutic proteins, that ease their manufacture and delivery to patients. This combines computational simulations, machine learning and biophysics to elucidate aggregation mechanisms, and predictively guide protein engineering and protein formulation, in both the liquid and freeze-dried states. He has collaborated extensively with Dr Paul Matejtschuk (NIBSC/MHRA), Dr Milena Quaglia (LGC), and Prof Stephen Perkins (UCL), and with many key industry players to achieve these aims. In this work, Paul has engineered antibody fragments, nanobodies and enzymes for improved thermostability and storage shelf life.
Paul pioneered the use of smart directed evolution libraries guided by protein structure analysis, substrate docking in silico, and bioinformatics, and patented the concept of substrate walking for iteratively evolving function towards acceptance of progressively more distant substrates. He recently incorporated non-natural amino acids into an enzyme active site to improve activity and stability.
He develops new protein engineering and formulation strategies for improved stability and function of biocatalytic enzymes and therapeutic proteins, that ease their manufacture and delivery to patients. This combines computational simulations, machine learning and biophysics to elucidate aggregation mechanisms, and predictively guide protein engineering and protein formulation, in both the liquid and freeze-dried states. He has collaborated extensively with Dr Paul Matejtschuk (NIBSC/MHRA), Dr Milena Quaglia (LGC), and Prof Stephen Perkins (UCL), and with many key industry players to achieve these aims. In this work, Paul has engineered antibody fragments, nanobodies and enzymes for improved thermostability and storage shelf life.
Paul pioneered the use of smart directed evolution libraries guided by protein structure analysis, substrate docking in silico, and bioinformatics, and patented the concept of substrate walking for iteratively evolving function towards acceptance of progressively more distant substrates. He recently incorporated non-natural amino acids into an enzyme active site to improve activity and stability.
研究兴趣
论文共 169 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
PloS oneno. 4 (2024): e0300964-e0300964
Victoria E. Wood, Mark-Adam Kellerman,Kate Groves,Milena Quaglia,Elizabeth M. Topp,Paul Matejtschuk,Paul A. Dalby
MOLECULAR PHARMACEUTICSno. 4 (2024): 1965-1976
CATALYSIS SCIENCE & TECHNOLOGYno. 9 (2024): 2390-2399
Niccolo Alberto Elia Venanzi,Andrea Basciu,Attilio Vittorio Vargiu, Alexandros Kiparissides,Paul A Dalby,Duygu Dikicioglu
Journal of chemical information and modelingno. 7 (2024): 2681-2694
Scientific reportsno. 1 (2024): 1287-1287
Hannah F Bradford, Christophe Lalaurie,Jayesh Gor, Xin Gao,Charis Pericleous,Stephen J Perkins,Hannah Britt, Kostantions Thalassinos,Ian P Giles,Anisur Rahman,Mihaela Delcea,Paul A Dalby,
crossref(2024)
Journal of agricultural and food chemistry (2023)
引用0浏览0WOS引用
0
0
Jiazhi Tang,Cheng Zhang, Nuria Codina Castillo, Christophe J. Lalaurie,Xin Gao,Paul A. Dalby,Frank Kozielski
Scientific reportsno. 1 (2023): 16281-14
引用0浏览0WOSNATURE引用
0
0
MOLECULAR PHARMACEUTICSno. 5 (2023): 2650-2661
引用0浏览0WOS引用
0
0
npj Vaccinesno. 1 (2023): 1-9
引用1浏览0WOSNATURE引用
1
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn