AI Built for Biology Patents

Biology patent drafting involves preparing patent applications for biological inventions such as proteins, antibodies, nucleic acids, and other biomolecules. These applications often include sequence listings, experimental data, and detailed descriptions of biological function. Because biological inventions rely heavily on sequence information, drafting requires careful alignment between the sequence listing and the written specification.

ST.26 is the international standard for sequence listings used in patent applications involving nucleotide or amino acid sequences. It defines how sequences, identifiers, qualifiers, and annotations must be formatted and submitted to patent offices. Proper ST.26 compliance is essential for applications filed with major patent offices worldwide.

DeepIP helps patent teams draft biology applications directly from sequence data and experimental materials. It turns sequences into structured drafting context so identifiers, annotations, and references remain consistent across the application. This reduces manual reconciliation and helps avoid cross-reference errors between the sequence listing and the specification.

Yes. DeepIP helps maintain ST.26-compliant sequence listings as drafting evolves. This reduces the manual work involved in updating sequences, handling modified residues, and preparing compliant exports for filing.

DeepIP can help generate an ST.26-compliant consensus sequence from selected sequence inputs. The consensus sequence can be added to the sequence listing and used as structured context throughout the drafting process.

Sequence-heavy patents often contain many references between sequence listings, claims, and descriptions. DeepIP keeps sequence identifiers, annotations, and references structured and reusable throughout drafting. This helps reduce cross-reference errors and improves internal consistency across the application.

Yes. DeepIP can ingest sequences, technical disclosures, prior drafts, and experimental data. Once uploaded, sequences become structured context that can be referenced consistently throughout the patent application.