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New protein method generates 10M data points in 3 days, boosting AI models
A team at Rice University has built a lab platform that can map the activity of more than 10 million protein variants in a ...
Protein sequencing presents different challenges than nucleic acid sequencing, meaning that proteomics has yet to benefit as much as genomics from the next-generation sequencing revolution. However, ...
insights from industryJeff HawkinsCEOQuantum-SiIn this interview, NewsMedical speaks with Jeff Hawkins, CEO of Quantum-Si, about the challenges of conventional proteomic methods, as well as how ...
Researchers headed by a team at the Centre for Genomic Regulation, Barcelona Institute of Science and Technology and at the Wellcome Sanger Institute have developed an AI tool that they say has made a ...
A new study finds the proteins responsible for controlling which genes are expressed in a genome do more than simply turn a gene on or off. Essentially, each type of protein that interacts with a gene ...
This year’s Lasker Basic Medical Research Award recognizes the contributions of Demis Hassabis and John Jumper for their invention of the AlphaFold artificial intelligence (AI) system, which predicts ...
Machine learning (ML) and other AI- based computational tools have proven their prowess at predicting real-world protein structures. AlphaFold 2, an algorithm developed by scientists at DeepMind that ...
For all the excitement surrounding AlphaFold and the surge of AI‑driven protein design tools, one fact often goes unexamined: nearly every model is trained on databases of known proteins. These ...
Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...
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