A new tutorial published in the journal Nature Methods provides a comprehensive overview and comparison of 23 publicly available computational tools for predicting intrinsic disorder in proteins.
The guide includes information on accuracy, runtime, availability, and the need for functional insights. It also provides examples and instructions for using the selected tools, as well as tips for interpreting results.
Intrinsic disorder is a type of protein structure that is characterized by a lack of regular secondary and tertiary structure. It is increasingly recognized as important in a wide range of protein functions. The ability to accurately predict intrinsic disorder from protein sequences can, therefore, help researchers to understand protein function better and develop new therapies for diseases associated with protein misfolding.
The new guide is a valuable resource for researchers who are interested in using computational tools to predict intrinsic disorder in proteins. It is written in a clear and concise style and is easy to follow, even for those who are not familiar with the field of computational biology.
