🤯 Did You Know (click to read)
The database includes structures for all 20,000+ human proteins and tens of thousands from model organisms like E. coli and yeast.
The AlphaFold Protein Structure Database provides predicted 3D structures for proteins across multiple organisms, including humans, model species, and pathogens. The release uses standard file formats compatible with molecular modeling software. Each structure includes a confidence score per residue, guiding experimental prioritization. This open-access resource accelerates biomedical research by enabling structural hypotheses without requiring experimental determination. Integration with UniProt identifiers ensures seamless connection to functional and genomic data. The database supports drug design, enzyme engineering, and understanding of disease-associated variants.
💥 Impact (click to read)
By providing large-scale protein structural data, the database allows high-throughput computational screening and rational drug design. Academic researchers save significant time in structure determination. Global collaboration is enhanced by standardized data availability. Protein function prediction improves through comparative modeling and structural alignment. The database promotes reproducible research and supports educational initiatives. AI-driven infrastructure becomes central to modern molecular biology.
Laboratories can now explore novel proteins from pathogens or rare organisms without cultivating or crystallizing them. Computational biologists can identify targets for experimental validation efficiently. Students and educators gain hands-on experience with accurate structural data. The resource supports synthetic biology and protein engineering applications. Practical science scales globally through AI-assisted prediction. Structural biology becomes more inclusive and accelerated.
💬 Comments