The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
A new study published in Engineering presents an innovative computational method for predicting the distribution of blast loads on complex 3D buildings using graph neural networks. The research, led ...
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MULTI-evolve accelerates protein engineering with machine learning
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.
In the same vein as weather forecast models that predict developing storms, researchers have now developed a method to predict the cell activity in tissues over time. The new software combines ...
In research inspired by the principles of quantum mechanics, researchers from Pompeu Fabra University (UPF) and the University of Oxford reveal new findings to understand why the human brain is able ...
How do we think, feel, remember, or move? It all depends on transmission of chemical signals in the brain, carried and released by molecular containers called vesicles. In a new study, researchers ...
What if artificial intelligence could process information faster, cost less, and still deliver unparalleled accuracy? With the release of Deepseek 3.2 Experimental, that vision is no longer ...
A computational tool has accurately predicted a drug combination that inhibited triple-negative breast cancer in in vitro experiments. Researchers at the Icahn School of Medicine at Mount Sinai (NY, ...
Miniax M2.1 is a 230B-parameter open source model strong at coding; it supports multi-agent teamwork to ship features faster.
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