APA (7th ed.) Citation

Marissa Mock, Alex W. Jacobitz, Christopher James Langmead, Athena Sudom, Daniel Yoo, Sara C. Humphreys, . . . Iain D. G. Campuzano. (2023). Development of in silico models to predict viscosity and mouse clearance using a comprehensive analytical data set collected on 83 scaffold-consistent monoclonal antibodies. Taylor & Francis Group.

Chicago Style (17th ed.) Citation

Marissa Mock, et al. Development of in Silico Models to Predict Viscosity and Mouse Clearance Using a Comprehensive Analytical Data Set Collected on 83 Scaffold-consistent Monoclonal Antibodies. Taylor & Francis Group, 2023.

MLA (9th ed.) Citation

Marissa Mock, et al. Development of in Silico Models to Predict Viscosity and Mouse Clearance Using a Comprehensive Analytical Data Set Collected on 83 Scaffold-consistent Monoclonal Antibodies. Taylor & Francis Group, 2023.