Journal
BIOORGANIC & MEDICINAL CHEMISTRY LETTERS
Volume 19, Issue 14, Pages 3744-3747Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.bmcl.2009.05.005
Keywords
Antibody maturation; Computational design; Species cross-reactivity; Protein engineering
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Funding
- Sandler Program in the Basic Sciences
- NIH [CA072006, GM082250]
- Genentech Scholars Program
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The high degree of specificity displayed by antibodies often results in varying potencies against antigen orthologs, which can affect the efficacy of these molecules in different animal models of disease. We have used a computational design strategy to improve the species cross-reactivity of an antibody-based inhibitor of the cancer-associated serine protease MT-SP1. In silico predictions were tested in vitro, and the most effective mutation, T98R, was shown to improve antibody affinity for the mouse ortholog of the enzyme 14-fold, resulting in an inhibitor with a K-I of 340 pM. This improved affinity will be valuable when exploring the role of MT-SP1 in mouse models of cancer, and the strategy outlined here could be useful in fine-tuning antibody specificity. (C) 2009 Elsevier Ltd. All rights reserved.
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