Powerful machine-learning algorithms, including AlphaFold and RoseTTAFold, cannot provide realistic representations of these 'disordered' and 'chaotic' protein regions as a whole.

The overall program structure is presented in Listing 1 ... The demo concludes by using the trained decision tree to make a prediction: The AdaBoost.R2 regression algorithm has not received as much ...

From a developer's point of view, the key thing to note is that there are two sets of weights used by the algorithm. The alpha weights are inference weights -- they're used to make the final ...

That is the bold claim with which quant investor Igor Tulchinsky and Cornell professor of genomics Christopher E Mason begin The Age of Prediction ... of how predictive algorithms are changing ...

the firm DeepMind announced that their AlphaFold software program had solved the protein structure prediction problem. At the time, DeepMind did not release details of its algorithm beyond a 10 ...

That’s always been the mission of DeepMind: to develop general-purpose algorithms that could ... CASP14 [the 14th Critical Assessment of Structure Prediction, a protein-folding competition].