NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model.

ABSTRACT:

Background

Nanobodies, also known as VHH or single-domain antibodies, are unique antibody fragments derived solely from heavy chains. They offer advantages of small molecules and conventional antibodies, making them promising therapeutics. The paratope is the specific region on an antibody that binds to an antigen. Paratope prediction involves the identification and characterization of the antigen-binding site on an antibody. This process is crucial for understanding the specificity and affinity of antibody-antigen interactions. Various computational methods and experimental approaches have been developed to predict and analyze paratopes, contributing to advancements in antibody engineering, drug development, and immunotherapy. However, existing predictive models trained on traditi

SUBMITTER: Li S 

PROVIDER: S-EPMC10956323 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature