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In this talk I will give an overview of the databases and tools built within my group to exploit the sequence and structure data available for antibodies to build a better understanding of the immune system and aid in the development of biotherapeutics. Our focus is to move from a sequence based view of the system that is common in the area of immunoinformatics to a structure based one.

To this end we have built the structural antibody database (SAbDab) and the computational antibody prediction toolset SAbPred for modelling and designing antibodies. These tools are then used to enrich the available sequence data in our Observed Antibody Space (OAS) a database of nearly two billion antibody sequences, Thera-SAbDab, a collection of all antibody and nanobody-related therapeutics recognized by the World Health Organisation and most recently CoV-AbDab, an annotated database of all known antibody and nanobody binders to betacoronoviruses.

I will describe how bringing together the huge availability of sequence data alongside structural data and prediction tools has allowed us to develop insights into the natural immune repertoire, response of the repertoire to vaccines and the development of antibody therapeutics.


Charlotte Deane with brown hair wearing a salmon coloured shirt

Charlotte Deane

Charlotte is Professor of Structural Bioinformatics at the Department of Statistics, University of Oxford. She is also Deputy Executive Chair of the Engineering and Physical Sciences Research Council (EPSRC) and COVID-19 Response Director at UK Research and Innovation (UKRI).

At Oxford, Charlotte leads the Oxford Protein Informatics Group (OPIG), who work on diverse problems across protein structure, interaction networks and small molecule drug discovery; combining theoretical and empirical analysis with special interest in AI. She collaborates with experimentalists in academia and industry in experiment design to leverage the power of computation for biological insight.

Her work focuses on the development of novel algorithms, tools and databases that are openly available to the community. Examples include SAbDab, SAbPred, Cov-AbDab, PanDDA and MEMOIR. These tools are widely used web resources and are also part of several Pharma drug discovery pipelines. Charlotte has consulted extensively with industry and has set up a consulting arm within her own research group as a way of promoting industrial interaction and use of the group’s software tools.

Twitter: @OPIGlets

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Title: Computationally designing therapeutic antibodies – combining immune repertoire data and structural information

Date: November 9th, 2021
Time: 15:00 CET

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