1 citations · 1 across the 1 of their papers we have counts for
3 papers
Deep transfer learning in the assessment of the quality of protein models
David Menéndez Hurtado, Karolis Uziela, Arne Elofsson
MOTIVATION: Proteins fold into complex structures that are crucial for their biological functions. Experimental determination of protein structures is costly and therefore limited…
ProQ3D: Improved model quality assessments using Deep Learning
Karolis Uziela, David Menéndez Hurtado, Björn Wallner +1
Summary: Protein quality assessment is a long-standing problem in bioinformatics. For more than a decade we have developed state-of-art predictors by carefully selecting and optimi…
ProQ3: Improved model quality assessments using Rosetta energy terms
Karolis Uziela, Björn Wallner, Arne Elofsson
Motivation: To assess the quality of a protein model, i.e. to estimate how close it is to its native structure, using no other information than the structure of the model has been…