artificial-intelligence
Connecting AI to biology: Model Context Protocol
AlphaFold Database launches custom annotations feature
AI analysis for bioimages – what’s missing?
New PDBe entry pages: Interactive, personalised, and mobile-ready
AI model forecasts disease risk decades in advance
Welcome: Jess Ewald
New AlphaFold Database entry pages
CORNETO: machine learning to decode complex omics data
New Wellcome funding model supports the development of EMBL-EBI open data resources
New platform calculating polygenic scores
InterPro 105.0: AI for protein classification
BioChatter: making large language models accessible for biomedical research
Computational protein design and protein structure prediction win Nobel Prize in Chemistry
New MGnify Proteins web resources launched
AlphaFold database empowers researchers with enhanced structural search via Foldseek integration
The EMBL evolution: Ewan Birney on open data and the ethos of excellence
AI annotations increase patent data in SureCheMBL
The AI revolution hinges on accessible training
ProteomicsML: empowering proteomics research with machine learning
Deciphering the data deluge: how large language models are transforming scientific data curation
Reducing the carbon footprint of scientific computing
A leap in user experience: AlphaFold Database introduces sequence-based search and structure cluster members
New predictions of genetic variant pathogenicity using AlphaFold protein structures
Revealing the secrets of protein evolution using the AlphaFold database
EMBL alumni: Laura Clarke on the importance of data management
Major user experience update in AlphaFold Database
Case study: AlphaFold uses open data and AI to discover the 3D protein universe
Machine learning to identify and prioritise drug targets
AlphaFold applications – a community assessment
AI4LIFE: AI models for bioimaging
Natural language processing for rapid protein annotation
AlphaFold: where will the next AI breakthrough come from?
A machine learning approach for allocating gene function
Europe PMC: Harnessing the power of text mining to accelerate life sciences research
2.4 billion sequences now available in the latest MGnify protein database release
Deep learning models help predict protein function
A new era for European molecular biology
AI for drug discovery: what’s the hold up?
DeepMind and EMBL release the most complete database of predicted 3D structures of human proteins
Great expectations – the potential impacts of AlphaFold DB
Pfam releases structures for every protein family
Solving the protein structure puzzle
Bringing AI out of the black box
New clues to a 500-year old mystery about the human heart
Artificial intelligence finds patterns of mutations and survival in tumour images
