The following queries are directed at computational approaches for genetic- and protein-related data processing. This data processing is useful for analysing viral properties, e.g., detection of mutations or simulation of viral infection. The analysis is not limited to SARS-CoV-2, as the computational principles known from the analysis of other viruses might be applicable to coronaviruses in general and SARS-CoV-2 as well. All searches have been carried out combining the relevant and specific patent classifications in G16B and relevant keywords.
- Modelling and simulation of viral infection
This search concept covers computational methods for modelling and simulating the biomolecular interactions involved in viral infections, such as coronavirus infection.
- Find viruses or viral DNA sequences evolutionary related to a virus of interest
This search concept covers computational methods for the identification of viruses which are evolutionary related to a virus of interest, such as the coronavirus.
- Detection of mutations in viral genomes
This search concept covers computational methods for detecting mutations, such as SNPs and SNVs in a viral genome, such as the coronavirus genome.
- Mapping of viral genotypes to phenotypes (e.g. symptoms, disease severity, prognosis, etc.)
This search concept covers computational methods for predicting phenotypic traits (such as symptoms and their severity, disease prognosis, etc.) from a viral genotype, such as the coronavirus genotype.
Patent analytics gives a deeper dive into the patent landscape. Our patent analysts have created a spreadsheet containing all the search strategies and datasets for patents for analytical protocols as well as additional statistics in one place for you to download. You can also run the search strategies on your own platform or analyse the datasets yourself. If you are not familiar with how to write or adapt search strategies, our Espacenet pocket guide will help.