Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions

161 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding (2018, methodology): “So far, over 50 prediction methods have been developed using a wide arse-nal of approaches, including simple amino acid propensity scales, simplified biophysical models, machine learning techniques and meta-servers (15–17).”
Deep learning methods in protein structure prediction (2020, background): “However, given its role in protein structure prediction pipelines is less clear than for other PSA, we will not explicitly focus on disorder in this article and refer the reader to specialised reviews on disorder prediction, e.g. [24–26].”
Prediction of protein disorder based on IUPred (2018, unknown): “25 Overall, computational methods have contributed significantly to our understanding of biological properties of IDRs.”