Search Results for author:
Found 4 papers, 0 papers with code
Guidelines for releasing a variant effect predictor
Computational methods for assessing the likely impacts of mutations, known as variant effect predictors (VEPs), are widely used in the assessment and interpretation of human genetic variation, as well as in other applications like protein engineering.
Structure-Based Experimental Datasets for Benchmarking of Protein Simulation Force Fields
This review article provides an overview of structurally oriented, experimental datasets that can be used to benchmark protein force fields, focusing on data generated by nuclear magnetic resonance (NMR) spectroscopy and room temperature (RT) protein crystallography.
Conformational ensembles of intrinsically disordered proteins and flexible multidomain proteins
Intrinsically disordered proteins (IDPs) and multidomain proteins with flexible linkers show a high level of structural heterogeneity and are best described by ensembles consisting of multiple conformations with associated thermodynamic weights.
On the potential of machine learning to examine the relationship between sequence, structure, dynamics and function of intrinsically disordered proteins
Intrinsically disordered proteins (IDPs) constitute a broad set of proteins with few uniting and many diverging properties.
