Integrated antibody sequence & structure analysis
abYsisProprietary allows users to work beyond the limitations of the public version by placing the complete system behind your firewall or cloud infrastructure. Flexible input permits DNA or protein sequence.
abYsis supports automated antibody numbering and CDR assignment. Already supported are Kabat numbering,as well as Chothia and Martin numbering. In the near future we will also provide IMGT and Aho numbering schemes. Let abYsis rapidly generate 'antibody aware' multiple sequence alignments for you to analyse.
Want to know more? Following these links for helpful information on key differences between the most accredited numbering schemes.
Using abYsis allows you to concentrate on your work, rather than how to get bioinformatics algorithms to work.
Position specific residue distributions
Central to abYsis are position-specific amino-acide distributions derived from a statistical analysis of large scale antibody data.
This enables you to identify atypical residues at key positions of your sequences and potentially clusters of such residues that could represent unwanted epitopes that might elicit an anti-antibody response.
Process Your own proprietary data
Input your sequences either through the interactive front-end GUI or through a batch-processing option that can be restricted to power-users.
Numbering, CDR/framework assignment (Kabat and Chothia), unusual residues and humanness calculations are all automatically applied and await your analysis.
Even ‘fully human’ antibodies are not perfect and can elicit an anti-antibody response. abYsis includes new approaches to assess overall ‘humanness’ that can help identify epitope-like regions that might confer an anti-antibody effect.
Identifying the closest germline for your antibody sequences helps to determine which mutations have been introduced during somatic hypermutation maturation. This also assists in the ‘germlinealization’ approach to humanization, by finding the nearest human germline to the mouse donor.
Back mutation for humanization poses the risk of changing loop conformation. Monitor the predicted conformation as residues are modified.
● Apply canonical structure prediction based on sequence and knowledge of key residue frequencies.
Use our latest interactive tool to analyse any sequence of high interest and explore how it might be humanised.
Apply distributions from more than one organism if e.g. moving from a mouse to human.