Kipoi - Seminar

The monthly virtual seminar series is designed as a platform for interested Kipoi users and developers and will host talks on the applications of deep learning on biological data. The seminar is held on every first Wednesday of the month at 5:30 p.m. - 6:30 p.m. CET/CEST. We are also happy to share the recordings of the seminar on YouTube.

How to take part

Our Virtual Seminar Series is hosted entirely online. To join, please subscribe to the mailing list below; we will send you a single recurring link that provides access to every lecture in the series.

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How to apply as a speaker

The seminar is a great opportunity to present your recent work to a large international audience. If you want to apply as a speaker, please use the contact in the registration confirmation email.

Next seminar

Title: Protein Language Models

3 June 2026 5:30 p.m. - 6:30 p.m. CET/CEST

Speaker: Zeming Lin, Biohub

Abstract:

Proteins are fundamental to life. Accurate digital representations could accelerate the discovery of protein biology through virtual experiments. Built on decades of sequencing data, foundation models over protein sequences are transforming our understanding of biology. In this talk, I will detail the next generation of protein language models, ESMC, and the challenges involved in training such a model. We will then explore the representations of these protein language models and how interpretability techniques can lead to the alignment of protein function with textual data. Finally, we show how building on these frontier representations results in ESMFold2, a state-of-the-art protein structure prediction model capable of predicting protein and antibody complexes without explicit coevolutionary data. A simple search procedure using this folding model yields high experimental success rates for discovering proteins with nanomolar binding affinities for both miniproteins and single-chain antibodies, a modality critical for therapeutic design.

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