Discovery-stage identification of drug-like antibodies using emerging experimental and computational methods
Emily K. Makowski, Lina Wu, Priyanka Gupta, Peter M. Tessier
Abstract
properties, including favorable antibody stability, specificity, solubility, pharmacokinetics, and immunogenicity profiles, that together encompass overall drug developability. In particular, we highlight impressive recent progress in developing computational methods for improving rational antibody design and prediction of drug-like behaviors that hold great promise for reducing the amount of required experimentation. We also discuss outstanding challenges that will need to be addressed in the future to fully realize the great potential of using such analysis for minimizing development times and improving the success rate of antibody candidates in the clinic.
Topics & Concepts
Drug discoveryImmunogenicityComputer scienceMonoclonal antibodyDrug developmentDrugAntibodyBiochemical engineeringComputational biologyBioinformaticsMedicineBiologyPharmacologyImmunologyEngineeringMonoclonal and Polyclonal Antibodies ResearchProtein purification and stabilityBiosimilars and Bioanalytical Methods