Unknown

Dataset Information

Comparison of hydrophobicity scales for predicting biophysical properties of antibodies.


ABSTRACT: While antibody-based therapeutics have grown to be one of the major classes of novel medicines, some antibody development candidates face significant challenges regarding expression levels, solubility, as well as stability and aggregation, under physiological and storage conditions. A major determinant of those properties is surface hydrophobicity, which promotes unspecific interactions and has repeatedly proven problematic in the development of novel antibody-based drugs. Multiple computational methods have been devised for in-silico prediction of antibody hydrophobicity, often using hydrophobicity scales to assign values to each amino acid. Those approaches are usually validated by their ability to rank potential therapeutic antibodies in terms of their experimental hydrophobicity. Howev

SUBMITTER: Waibl F 

PROVIDER: S-EPMC9475378 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature