Detailed specificity analysis is critical for drugs, as even minimal off-target binding can cause serious adverse events. As a result, specificity profiling has become an FDA requirement for monoclonal antibodies (MAbs) as well as other emerging biotherapeutic categories such as CAR-T cell therapy. Current methods for profiling the specificity of biotherapeutics, primarily tissue cross-reactivity studies and spotted protein arrays, are poorly predictive of cross-reactivity against the native human proteome, have low sensitivity, and are difficult to interpret. A novel approach for specificity profiling is needed to better predict off-target binding of MAbs and de- risk biotherapeutic discovery programs. Here we propose to develop a technology that has the predictive validity to de-risk biotherapeutics entering preclinical development. This product would have a large impact on the clinical pipelines of nearly every biopharmaceutical company, has significant commercial potential, and can be implemented with very low risk. The resulting product will be the first major innovation in in vitro toxicology testing for biotherapeutics since tissue cross-reactivity studies were adopted 35+ years ago.

Public Health Relevance

This proposal will contribute to public health and the cure of human disease by creating a transformative tool for testing biotherapeutic cross-reactivity, enabling the development of therapeutic candidates with markedly improved likelihoods of succeeding in preclinical and clinical trials. This product will positively impact the clinical pipelines of nearly every biopharmaceutical company.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
2R44GM113556-05
Application #
10077411
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Ravichandran, Veerasamy
Project Start
2015-02-01
Project End
2022-12-31
Budget Start
2020-07-01
Budget End
2021-06-30
Support Year
5
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Integral Molecular
Department
Type
DUNS #
034055645
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Tucker, David F; Sullivan, Jonathan T; Mattia, Kimberly-Anne et al. (2018) Isolation of state-dependent monoclonal antibodies against the 12-transmembrane domain glucose transporter 4 using virus-like particles. Proc Natl Acad Sci U S A 115:E4990-E4999