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A recent study conducted by researchers at the University of Innsbruck in Austria explores the challenges in predicting the structure of antibodies using artificial intelligence (AI). The study highlights the importance of accurate structure models for advancing biophysical property predictions and antibody design. However, the researchers also caution that these models may contain inaccuracies, such as incorrect cis-amide bonds or clashes, which can affect predictions. To address this, the researchers have developed a tool called "TopModel" to validate structure models. This research emphasizes the need for careful review and validation of protein structure models before further investment in computing power and experiments. [Extracted from the article]