Three recent papers published on July 15, July 22, and August 20, 2021, two by DeepMind company in Nature (July) and one by David Baker and coworkers in Science (August), bring a breakthrough in structural biology comparable to previous major instrumental and methodological innovations. The published studies clearly demonstrate that advanced modeling programs AlphaFold2 and RosseTTAFold, based on artificial intelligence, can predict the precise 3D atomic structures of proteins with high confidence. The Reader’s Corner on our website presents all three papers together with the Editorials from Nature and Science magazines, along with a commentary by Patrick Cramer (MPI for Biophysical Chemistry, Göttingen). It is a “must-read” not only for all structural biologists, but also for the whole community, as these new tools outline the future of structural biology. The seminal contributions to the development of machine-learning algorithms will greatly facilitate and accelerate biomedical applications and life science research requiring structural knowledge at atomic resolution.
This is a reminder to apply for the Instruct-ERIC R&D Pilot Call - get funding of up to €15,000!
Closing 14:00 CEST on 15 April, the Instruct-ERIC R&D Funding Call invites early career researchers to submit proposals to access Instruct technology, equipment, and expertise from our 27 facilities across Europe for small scale pilot research projects in integrated structural biology.
Register now for the 32nd edition of the Instruct-ERIC Structure Meets Function webinar series, taking place on Zoom, 17 April at 11:00 CEST.
The latest webinar will have two speakers who have accessed the Instruct-ERIC facilities, expertise, and machinery via the ISIDORe project.
Talk 1: Nikitas Georgiou - National and Kapodistrian University of Athens
Title: Potential anti-inflammatory drugs
Talk 2: Séverine Padiolleau - Université de Technologie de Compiègne
Title: Identification of aptamers interacting with a protein target involved in lyme disease