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RNA-binding proteins use a dual binding mechanism involving zinc finger (ZnF) domains and intrinsically disordered regions ...
Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety ...
Understanding what is happening inside the “black box” of large protein models could help researchers choose better models ...
Biomolecular Emulator can predict protein dynamics and offers accurate insights in biomolecular research. This article helps ...
PepMLM generates binders to challenging therapeutic targets across cancer and neurological disease using protein sequence and ...
Artificial intelligence (AI) is reshaping diverse fields in science, with molecular science being no exception. A recent ...
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AZoLifeSciences on MSNAtomic-Level Models Reveal New Class Of Protein Misfolding
New computer simulations that model every atom of a protein as it folds into its final three-dimensional form support the existence of a recently identified type of protein misfolding.
Developing the model The researchers trained and tested ProtGPS on two batches of proteins with known localizations. They found that it could correctly predict where proteins end up with high ...
The team behind DeepMind’s protein structure prediction software AlphaFold announced Oct. 31 that it is expanding its model beyond proteins. Ligands, nucleic acids, and post-translational ...
Background AlphaFold and the AlphaFold Protein Structure Database have transformed access to protein structure predictions, enabling modeling of both single chains and complex protein assemblies.
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