共 45 条
Design of therapeutic proteins with enhanced stability
被引:439
作者:
Chennamsetty, Naresh
[1
]
Voynov, Vladimir
[1
]
Kayser, Veysel
[1
]
Helk, Bernhard
[2
]
Trout, Bernhardt L.
[1
]
机构:
[1] MIT, Cambridge, MA 02139 USA
[2] Novartis Pharma AG, CH-4057 Basel, Switzerland
来源:
基金:
美国国家科学基金会;
美国国家卫生研究院;
关键词:
aggregation;
antibody;
genetic engineering;
molecular simulation;
MOLECULAR-DYNAMICS SIMULATIONS;
CANONICAL STRUCTURES;
ALZHEIMERS-DISEASE;
CRYSTAL-STRUCTURE;
AGGREGATION;
PREDICTION;
HYDROPHOBICITY;
CONFORMATIONS;
PARAMETERS;
MUTATIONS;
D O I:
10.1073/pnas.0904191106
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Therapeutic proteins such as antibodies constitute the most rapidly growing class of pharmaceuticals for use in diverse clinical settings including cancer, chronic inflammatory diseases, kidney transplantation, cardiovascular medicine, and infectious diseases. Unfortunately, they tend to aggregate when stored under the concentrated conditions required in their usage. Aggregation leads to a decrease in antibody activity and could elicit an immunological response. Using full antibody atomistic molecular dynamics simulations, we identify the antibody regions prone to aggregation by using a technology that we developed called spatial aggregation propensity (SAP). SAP identifies the location and size of these aggregation prone regions, and allows us to perform target mutations of those regions to engineer antibodies for stability. We apply this method to therapeutic antibodies and demonstrate the significantly enhanced stability of our mutants compared with the wild type. The technology described here could be used to incorporate developability in a rational way during the screening of antibodies in the discovery phase for several diseases.
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页码:11937 / 11942
页数:6
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