Adaptive immune receptors are not only key mediators of the immune response but are also the basis for hundreds of approved therapeutics and diagnostics.Throughout this one-day meeting, we will hear from world-leading computational researchers who develop and apply in silico methods such as structure-aware machine learning to predict the characteristics of antibodies, nanobodies, and T-cell receptors. This includes the evolving fields of structure and conformational ensemble prediction, repertoire immunoinformatics, and biopharmaceutical informatics: from developability prediction to binder design based on grafting, mutational, or de novo approaches.
A poster session will take place over lunch; please submit your poster abstracts by 23:59 GMT on Friday 22nd March, 2024Please register early as spaces are limited.
Abstract Submission
Poster abstracts can be submitted at the following link: https://forms.office.com/e/8aauPAzzcS
Please submit your poster abstract by Friday 22nd March.
Early Bird Registration Fees (MGMS Member | Non-MGMS Member)
Student: £100 | £125
Academic non-student: £150 | £175
Industry: £200 | £225
Registration is now open: https://www.oxforduniversitystores.co.uk/conferences-and-events/statistics/statistics/adaptive-immune-receptors-structural-modelling-and-immunoinformatics
MGMS Membership can be purchased here: https://www.mgms.org/WordPress/members/membership-and-journal-subscription-form/.
Current cost: Student/Retired/Career break/Unemployed: £15; Full Membership: £30.
