期刊
PROTEIN ENGINEERING DESIGN & SELECTION
卷 17, 期 9, 页码 673-680出版社
OXFORD UNIV PRESS
DOI: 10.1093/protein/gzh079
关键词
computational protein design; stability; TNF-ligand family; TRAIL
Protein thermal stability is important for therapeutic proteins, both influencing the pharmacokinetic and pharmacodynamic properties and for stability during production and shelf-life of the final product. In this paper we show the redesign of a therapeutically interesting trimeric all-beta-sheet protein, the cytokine TRAIL (tumor necrosis factor-related apoptosis-inducing ligand), yielding variants with improved thermal stability. A combination of tumor necrosis factor (TNF) ligand family alignment information and the computational design algorithm PERLA was used to propose several mutants with improved thermal stability. The design was focused on non-conserved residues only, thus reducing the use of computational resources. Several of the proposed mutants showed a significant increase in thermal stability as experimentally monitored by far-UV circular dichroism thermal denaturation. Stabilization of the biologically active trimer was achieved by monomer subunit or monomer-monomer interface modifications. A double mutant showed an increase in apparent T-m of 8degreesC in comparison with wildtype TRAIL and remained biologically active after incubation at 73degreesC for 1h. To our knowledge, this is the first study that improves the stability of a large multimeric P-sheet protein structure by computational redesign. A similar approach can be used to alter the characteristics of other multimeric proteins, including other TNF ligand family members.
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