New EU-funded Project: Fragment-Screen
Lab Matters EMBL is one of the partners of this project that aims to accelerate drug discovery and development, bringing in expertise from EMBL Grenoble and EMBL-EBI.
2023
lab-matters
Case study: AlphaFold uses open data and AI to discover the 3D protein universe
Perspectives, Science Open data played a pivotal role in the development of the AlphaFold AI. The same open principles now apply to AlphaFold predictions.
2023
perspectivesscience
AI helps scientists decipher cellular structures
Science New artificial intelligence tool adds speed and detailed cellular information to analysis of cryo-electron tomography to aid researchers’ understanding of inner cell workings.
2023
science
Machine learning to identify and prioritise drug targets
Science, Technology and innovation Open Targets is using artificial intelligence and machine learning to identify and prioritise drug targets.
2023
sciencetechnology-and-innovation
AlphaFold applications – a community assessment
Research highlights, Science Researchers use social media to share findings on how useful AlphaFold predictions are for different applications.
2022
research-highlightsscience
AI4LIFE: AI models for bioimaging
Announcements, Science 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
Technology and innovation Over 40 million protein annotations have been added to the UniProt database using a Google Research natural language processing model.
2022
technology-and-innovation
EMBL Barcelona and CRG kickstart new era of digital biology in Barcelona
Lab Matters The institutes have launched a joint new initiative which aims to make biology as engineerable as an aeroplane or a bridge.
2022
lab-matters
AlphaFold: where will the next AI breakthrough come from?
Perspectives, Science 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.
2022
perspectivesscience
Puzzling out the structure of a molecular giant
Science Scientists have solved several mysteries around the structure and function of a true molecular giant: the human nuclear pore complex. They created the most complete model of the complex thanks to combining the program AlphaFold2 with cryo-electron tomography, integrative modelling, molecular…
2022
science
A machine learning approach for allocating gene function
Science, Technology and innovation Researchers in the Ensembl team are making the most of machine learning methods to speed up genome annotation pipelines
2022
sciencetechnology-and-innovation
Europe PMC: Harnessing the power of text mining to accelerate life sciences research
Science, Technology and innovation How text mining collaborations benefit our research, data resources, and the wider scientific community.
2022
sciencetechnology-and-innovation
2.4 billion sequences now available in the latest MGnify protein database release
Updates from data resources 2.4 billion protein sequences are now available in the latest MGnify release including new annotations provided by Google AI
2022
updates-from-data-resources
Deep learning models help predict protein function
Perspectives, Science Deep learning models can improve protein annotations and has helped expand the Pfam database.
2022
perspectivesscience
Learning from Deep Learning: the inspirational story behind AlphaFold
Science DeepMind visits EMBL Heidelberg to discuss current and future implications of Artificial Intelligence for life science research.
2022
science
A new era for European molecular biology
Announcements, Lab Matters EMBL announces details about its next programme, ‘Molecules to Ecosystems’. It will guide studying life across scales and in context with changing environments.
2022
announcementslab-matters
Artificial intelligence — a scientific game changer in 2021
Science 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.
2021
science
DeepMind and EMBL release the most complete database of predicted 3D structures of human proteins
Science 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.
2021
science
Accessible 3D protein models to accelerate scientific discovery
Science DeepMind and EMBL-EBI to make millions of protein structure predictions freely available to the scientific community.
2021
science
Illuminating protein complexes in cells
Lab Matters EMBL group leaders Julia Mahamid, Anna Kreshuk & Jonas Ries awarded Chan Zuckerberg Initiative grant to advance what we see inside cells.
2021
lab-matters
Artificial intelligence makes great microscopes better than ever
Science EMBL scientists have combined artificial intelligence (AI) algorithms with two cutting-edge microscopy techniques.
2021
science
Solving the protein structure puzzle
Science How artificial intelligence can help us solve the mysteries of the protein universe
2020
science
Bringing AI out of the black box
Lab Matters Why should researchers make artificial intelligence more transparent and how can they do it?
2020
lab-matters
New clues to a 500-year old mystery about the human heart
Science An international team of scientists involving Ewan Birney's group has investigated the function of a complex mesh of muscle fibres that line the inner surface of the heart.
2020
science
Bridging artificial intelligence and the life sciences – launch of ELLIS Heidelberg
Lab Matters Researchers from all life science disciplines – from fundamental biological research to medical applications – generate immense datasets. Analysing these datasets and gaining new knowledge from them is a growing challenge for scientists. The fields of artificial intelligence (AI) and machine…
2020
lab-matters
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