Adeno-associated virus (AAV) is reckoned as one of the most propitious vectors for gene research and therapy. It is recommended to use the Patsnap Bio sequence database to extract sequences analogous to definite AAV sequences and examine new AAV data from sources accessible to the public, thereby providing a catalyst for advanced AAV research.

During the process of antibody sequence retrieval, it is often necessary to align multiple antibody sequences within the same series for comprehensive research analysis. It is recommended to use the online sequence alignment feature of the BioSequence Database provided by Patsnap Bio.

In order to address the risk of missed detection brought by degenerate sequences, the Patsnap Engineering team utilizes its self-developed NLP, CV, entity recognition, anaphora resolution and other technologies to construct a deep learning model.