Profluent’s latest protein language model incorporates structural and functional context to decode the language of biology for fine-tuned protein design.

They are the key innovation behind AlphaFold, DeepMind’s protein structure prediction model. Codex, ... But not all transformer applications require both the encoder and decoder module.

A machine-learning model from MIT researchers computationally breaks down how segments of amino acid chains determine a protein’s function, which could help researchers design and test new proteins ...

Existing models allow us to decode the structures of molecules, but to make new medicines we need to be able to design them. Neo-1, for the first time, allows for this in a single unified model.” ...

AbbVie, J&J to add proprietary data to AI protein model in bid to accelerate drug discovery OpenFold3 will access the companies’ data using federation technology from Apheris Manage alerts for ...

The CCSDS 231.0-B-3 LDPC codes with rates of 1/2 and uncoded block lengths of 64 and 256 bits are specially designed for telecommand (TC) and free space optical applications. Encoder and decoder IP ...

Google DeepMind’s new AI can model DNA, RNA, and ‘all life’s molecules’ AlphaFold 3 uses the same method as AI image generators to predict how different molecules fit together.

They focused on multi-domain proteins and proposed a strategy to treat the domains as a whole, utilizing XL-MS data between the domains to model the dynamic structures of proteins within cells.