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Healthy cells are constantly breaking down proteins and building up new ones with the help of enzymes aptly named unfoldases, ...
A team at the Centro Nacional de Investigaciones Cardiovasculares (CNIC), led by Jorge Alegre-Cebollada, has developed an ...
Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...
If you plan to use machine learning for research, consider ChatGPT’s shortcomings and inquire about AI tools’ training data and benchmarking performance ...
In this work, we propose an end-to-end deep contextual representation ... attributes of each protein node in the protein interaction network, and then automatically learns topological features from ...
Department of Computer Science, Vanderbilt University, 2201 West End Ave, Nashville, Tennessee 37235, United States ...
and graph edges connect amino acids that are close to each other under a given threshold. In this way we can get very descriptive features related to spatial and physical-chemical properties of the ...