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Mendeley readers
Chapter title |
SH2 Ligand Prediction–Guidance for In-Silico Screening
|
---|---|
Chapter number | 5 |
Book title |
SH2 Domains
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6762-9_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6760-5, 978-1-4939-6762-9
|
Authors |
Shawn S. C. Li, Lei Li, Li, Shawn S. C., Li, Lei |
Editors |
Kazuya Machida, Bernard A. Liu |
Abstract |
Systematic identification of binding partners for SH2 domains is important for understanding the biological function of the corresponding SH2 domain-containing proteins. Here, we describe two different web-accessible computer programs, SMALI and DomPep, for predicting binding ligands for SH2 domains. The former was developed using a Scoring Matrix method and the latter based on the Support Vector Machine model. |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 25% |
Student > Bachelor | 1 | 25% |
Other | 1 | 25% |
Unknown | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 1 | 25% |
Agricultural and Biological Sciences | 1 | 25% |
Chemistry | 1 | 25% |
Unknown | 1 | 25% |