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Mendeley readers
Chapter title |
How to Predict Disorder in a Protein of Interest
|
---|---|
Chapter number | 11 |
Book title |
Prediction of Protein Secondary Structure
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6406-2_11 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6404-8, 978-1-4939-6406-2
|
Authors |
Vladimir N. Uversky |
Abstract |
Currently available computational tools, which are many, provide a researcher with the multitude of options for prediction of intrinsic disorder in a protein of interest and for finding at least some of its disorder-based functions. This chapter provides a highly subjective guideline on how not to be lost in the "dark forest" of available tools for the analysis of intrinsic disorder. By no means it gives a unique pathway through this forest, but simply presents some of the tools the author uses in his everyday research. |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 23% |
Student > Master | 2 | 15% |
Student > Ph. D. Student | 2 | 15% |
Lecturer > Senior Lecturer | 1 | 8% |
Other | 1 | 8% |
Other | 1 | 8% |
Unknown | 3 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 31% |
Engineering | 2 | 15% |
Chemical Engineering | 1 | 8% |
Computer Science | 1 | 8% |
Agricultural and Biological Sciences | 1 | 8% |
Other | 2 | 15% |
Unknown | 2 | 15% |