Machine learning-guided protein engineering
Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …
machine learning methods. These methods leverage existing experimental and simulation …
Kinetic Ensemble of Tau Protein through the Markov State Model and Deep Learning Analysis
Y Yuan, X Mao, X Pan, R Zhang… - Journal of Chemical Theory …, 2024 - ACS Publications
The ordered assembly of Tau protein into filaments characterizes Alzheimer's and other
neurodegenerative diseases, and thus, stabilization of Tau protein is a promising avenue for …
neurodegenerative diseases, and thus, stabilization of Tau protein is a promising avenue for …
Comparative Markov state analysis of APOE protein dynamics by neural networks
J Kopko - 2023 - dspace.cuni.cz
This thesis leverages the CoVAMPnet neural network architecture to analyze the dy-namics
of apolipoprotein E (APOE), a protein involved in the development of Alzheimer's disease …
of apolipoprotein E (APOE), a protein involved in the development of Alzheimer's disease …