A menagerie of deep-learning models
EMBL scientists collaborate to build easy-to-use ‘Zoo’ of pre-trained AI models to help biologists and microscopists better analyse their biological images.
LAB MATTERS2025
lab-matters
How AI shapes the life sciences: an interview with Oliver Stegle
EMBL scientist Oliver Stegle explains how AI-based tools have the potential to transform our ability to better understand the complexity of life and how these tools will shape the future of life science exploration.
LAB MATTERSPEOPLE & PERSPECTIVES2023
lab-matterspeople-perspectives
Reducing the carbon footprint of scientific computing
As science increasingly relies on big data and AI tools, the carbon footprint of computational work is on the rise
2023
perspectives
A leap in user experience: AlphaFold Database introduces sequence-based search and structure cluster members
In response to user community demands, the AlphaFold Protein Structure database has introduced sequence-based search and cluster members.
2023
updates-from-data-resources
New predictions of genetic variant pathogenicity using AlphaFold protein structures
Ensembl Variant Effect Predictor integrates Google DeepMind’s new AlphaMissense Database for better predictions of genetic variant pathogenicity.
SCIENCE & TECHNOLOGY2023
science-technologytechnology-and-innovation
Major user experience update in AlphaFold Database
The AlphaFold Database boasts improved user experience, including better search filters and an improved 3D viewer.
2023
updates-from-data-resources
AI4LIFE: AI models for bioimaging
Researchers across EMBL are helping to make artificial intelligence (AI) models for bioimaging analysis interoperable and openly available to the scientific community.
2022
announcementsscience
Natural language processing for rapid protein annotation
Over 40 million protein annotations have been added to the UniProt database using a Google Research natural language processing model.
2022
technology-and-innovation
AlphaFold: where will the next AI breakthrough come from?
Ewan Birney, Deputy Director General of EMBL and Director of EMBL-EBI, reveals the key factors that enabled AlphaFold to change the world of biology.
PEOPLE & PERSPECTIVES2022
people-perspectivesperspectivesscience
Interpreting bioimages with deep learning
Virginie Uhlmann shares her tips for using deep learning for bioimage analysis in the life sciences.
SCIENCE & TECHNOLOGY2022
perspectivessciencescience-technology
Deep learning models help predict protein function
Deep learning models can improve protein annotations and has helped expand the Pfam database.
SCIENCE & TECHNOLOGY2022
perspectivessciencescience-technology
Learning from Deep Learning: the inspirational story behind AlphaFold
DeepMind visits EMBL Heidelberg to discuss current and future implications of Artificial Intelligence for life science research.
SCIENCE & TECHNOLOGY2022
sciencescience-technology
A new era for European molecular biology
EMBL announces details about its next programme, ‘Molecules to Ecosystems’. It will guide studying life across scales and in context with changing environments.
EMBL ANNOUNCEMENTSLAB MATTERS2022
announcementsembl-announcementslab-matters
Artificial intelligence — a scientific game changer in 2021
The systematic application of AI in life sciences as in the AlphaFold algorithm for predicting protein structures has been named '2021 Breakthrough of the Year' by Science magazine.
SCIENCE & TECHNOLOGY2021
sciencescience-technology
DeepMind and EMBL release the most complete database of predicted 3D structures of human proteins
Partners use AlphaFold, the AI system recognised last year as a solution to the protein structure prediction problem, to release more than 350,000 protein structure predictions including the entire human proteome to the scientific community.
SCIENCE & TECHNOLOGY2021
sciencescience-technology
Pfam releases structures for every protein family
Thousands of new protein structure models, prected using deep learning, now available to explore
SCIENCE & TECHNOLOGY2021
sciencescience-technology
Solving the protein structure puzzle
How artificial intelligence can help us solve the mysteries of the protein universe
SCIENCE & TECHNOLOGY2020
sciencescience-technology
Bringing AI out of the black box
Why should researchers make artificial intelligence more transparent and how can they do it?
LAB MATTERSSCIENCE & TECHNOLOGY2020
lab-mattersscience-technology
Deep learning captures cell cycle
Members of an EMBL-led research group with collaborators in Estonia and Russia have built and trained a deep learning model to better understand how cells grow and divide.
SCIENCE & TECHNOLOGY2020
sciencescience-technology
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