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 ...
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, ...
Designing de novo proteins holds immense potential for achieving superior combinations of novel functions and mechanical properties, thereby advancing biological and engineering applications. However, ...
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 ...
On Wednesday, the Nobel Committee announced that it had awarded the Nobel Prize in chemistry to researchers who pioneered major breakthroughs in computational chemistry. These include two researchers ...
Researchers developed a new machine learning method that, given a relevant amino acid sequence, can automatically predict the location of a protein in any human cell line down to the single-cell level ...
Giving Structure to Language: Profluent’s AI Models Move toward Precise and Steerable Protein Design
The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...
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 ...
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