2don MSN
Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Amid all the change, there remains a constant: the quality of an AI model’s outputs is only ever as good as the data that feeds it. Data management technologies and practices have also been advancing, ...
In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...
3don MSN
AI model predicts peptide sequences that prevent ribosome stalling in E. coli protein production
Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, ...
The developers of OpenFold3 have released an early version of the tool, which they hope will one day perform on par with DeepMind’s protein-structure model.
A new approach enhances AI understanding through hierarchical clustering techniques with LLM-driven keyphrase extraction.
The applied ontology degree will prepare students from around the world for work in this rapidly growing interdisciplinary ...
The new program, titled College Foundations, consists of four classes that fulfill up to six general education requirements.
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