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‘CancerVar’ – A New Machine Learning Empowered Tool to Interpret Somatic Variants in Cancer
CancerVar leverages machine learning frameworks to evaluate the potential relevance of somatic cancer mutations in terms of cancer diagnosis, prognosis, and targetability, in addition...
Enzyme Engineered by Structure-Based Machine Learning Degrades Plastic Waste in Hours to Days
A team of scientists and engineers at the University of Texas at Austin created an enzyme that could break down environmentally damaging polymers in...
Researchers Puzzled by the Structure of Key Protein Implicated in Cell Division
Researchers from the Max Planck Institute reveal the first 3D image of the CCAN protein complex and highlight basic questions about the development of...
‘DeepRank’ – A Deep Learning Framework for Data Mining Protein-Protein Interfaces Using 3D Convolutional...
Scientists formulate a deep learning framework, DeepRank, for the data mining of 3D protein-protein interfaces. They demonstrated the efficiency and readiness of DeepRank on...
A Novel Parallel Graph Neural Networks Based Method for Decoding Protein-Ligand Interactions
A deep learning-based method for predicting the biophysical and biochemical features of protein-ligand complexes developed by researchers could help discover new drug candidates.
Scientists formulate...