In the living world, roughly a third of all proteins we know rely on metals to function. Zinc helps enzymes break down molecules, iron helps carry oxygen in the blood, calcium helps relay signals in ...
How does a 167M-parameter protein foundation model outperform a 650M general-purpose model on the tasks that matter?
A single human gene can produce multiple protein isoforms through alternative splicing, greatly expanding the functional diversity of the proteome.
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AI tools for predicting protein folding produce chemically impossible structures and need human oversight
Researchers at Rensselaer Polytechnic Institute (RPI) have found that today's leading artificial intelligence tools for predicting protein structures routinely generate results that are physically and ...
Figure 1. This figure depicts the four categories of protein druggability target screening tools discussed in this section, which include structure-based methods, sequence-based methods, machine ...
This artificial intelligence system largely accomplished the task it was built to solve, and researchers outside DeepMind ...
Panel A illustrates the different types of protein representations used by the model: structural, sequential, and surface-based. Panel B shows how these representations are projected to a common ...
Matwings Demonstrates Closed-Loop Protein AI Through Four AI-Wet Lab Cycles and 222 Protein Variants
The GenSci148 program illustrates a shift from one-time mutation prediction to iterative protein engineering under real drug-development constraints ...
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