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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 ...
Paralysis, one of the most common and debilitating outcomes of severe damage to the central nervous system, continues to cast a long shadow of hopelessness on millions of lives worldwide. Despite the ...
Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
Researchers described for the first time the structure of a bifunctional protein, called CcsBA, that transports heme and attaches it to cytochromes. The study captured two conformational states of ...
The proposed solution can be used to design equipment that can function as one of three industrial applications namely Single Board computer, Human Machine Interface panel (also known as Operator ...
Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...
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