There have been many AI models to predict the structure of proteins, especially antibodies. There are several key aspects to developing antibodies as drugs beyond binding to the target of interest. These are : thermostability, expression, aggregation, binding affinity, pharmacokinetics, polyreactivity and immunogenicity. There have been many models available such as IgLM, ProGen2, Chai-1, ESM2, ISM, IgFold among others but there have been severe limitations to the AI model use and this paper helps understand their limitations:
