Challenges in antibody structure prediction.

ABSTRACT: Advances in structural biology and the exponential increase in the amount of high-quality experimental structural data available in the Protein Data Bank has motivated numerous studies to tackle the grand challenge of predicting protein structures. In 2020 AlphaFold2 revolutionized the field using a combination of artificial intelligence and the evolutionary information contained in multiple sequence alignments. Antibodies are one of the most important classes of biotherapeutic proteins. Accurate structure models are a prerequisite to advance biophysical property predictions and consequently antibody design. Specialized tools used to predict antibody structures based on different principles have profited from current advances in protein structure prediction based on artificial intelligence

SUBMITTER: Fernandez-Quintero ML 

PROVIDER: S-EPMC9928471 | biostudies-literature | 2023 Jan-Dec

REPOSITORIES: biostudies-literature