3 citations · 3 across the 6 of their papers we have counts for
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Is Sequence Information All You Need for Bayesian Optimization of Antibodies?
Sebastian W. Ober, Calvin McCarter, Aniruddh Raghu +4
Bayesian optimization is a natural candidate for the engineering of antibody therapeutic properties, which is often iterative and expensive. However, finding the optimal choice of…
Improved Therapeutic Antibody Reformatting through Multimodal Machine Learning
Jiayi Xin, Aniruddh Raghu, Nick Bhattacharya +3
Modern therapeutic antibody design often involves composing multi-part assemblages of individual functional domains, each of which may be derived from a different source or enginee…
Guided Sequence-Structure Generative Modeling for Iterative Antibody Optimization
Aniruddh Raghu, Sebastian Ober, Maxwell Kazman +1
Therapeutic antibody candidates often require extensive engineering to improve key functional and developability properties before clinical development. This can be achieved throug…