Boltz: Biomolecular Interaction Modeling with Gabriele Corso & Jeremy Wohlwend

Understanding biomolecular interactions is fundamental to advancing fields like drug discovery and protein design. In this talk, we introduce Boltz-1, an open-source deep learning model incorporating innovations in model architecture, speed optimization, and data processing achieving AlphaFold3-level accuracy in predicting the 3D structures of biomolecular complexes.

Boltz-1 demonstrates a performance on-par with state-of-the-art commercial models on a range of diverse benchmarks, setting a new benchmark for commercially accessible tools in structural biology. By releasing the training and inference code, model weights, datasets, and benchmarks under the MIT open license, we aim to foster global collaboration, accelerate discoveries, and provide a robust platform for advancing biomolecular modeling.

Please register in advance for this seminar even if you plan to attend in person at https://acm-org.zoom.us/webinar/register/8217463194322/WN_U1yhFblMQO-I4n1cBhkBFw

Indicate on the registration form if you plan to attend in person. This will help us determine whether the room is close to reaching capacity. We plan to serve light refreshments from about 6:30 pm.

After registering, you will receive a confirmation email containing information about joining the webinar.

We may make some auxiliary material such as slides and access to the recording available after the seminar to people who have registered.

This is a joint meeting of the GBC/ACM (http://www.gbcacm.org) and the Boston Chapter of the IEEE-CS.