Pages that link to "Q36761752"

The following pages link to Combining molecular dynamics and machine learning to improve protein function recognition (Q36761752):

Displaying 9 items.

• The FEATURE framework for protein function annotation: modeling new functions, improving performance, and extending to novel applications (Q21263145) (← links)
• Integration of Diverse Research Methods to Analyze and Engineer Ca2 - Binding Proteins: From Prediction to Production (Q30393133) (← links)
• High Resolution Prediction of Calcium-Binding Sites in 3D Protein Structures Using FEATURE. (Q36517226) (← links)
• Efficient algorithms to explore conformation spaces of flexible protein loops (Q37479619) (← links)
• Calciomics: integrative studies of Ca2 -binding proteins and their interactomes in biological systems (Q38067042) (← links)
• Predicting Ca2 -binding sites using refined carbon clusters (Q41557386) (← links)
• Analysis and prediction of calcium-binding pockets from apo-protein structures exhibiting calcium-induced localized conformational changes (Q42003393) (← links)
• Graphlet kernels for prediction of functional residues in protein structures (Q42272603) (← links)
• Challenges and opportunities in connecting simulations with experiments via molecular dynamics of cellular environments (Q62491925) (← links)