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Mendeley readers
| Chapter title |
Survey of Computational Approaches for Prediction of DNA-Binding Residues on Protein Surfaces
|
|---|---|
| Chapter number | 13 |
| Book title |
Computational Systems Biology
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7717-8_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7716-1, 978-1-4939-7717-8
|
| Authors |
Yi Xiong, Xiaolei Zhu, Hao Dai, Dong-Qing Wei |
| Abstract |
The increasing number of protein structures with uncharacterized function necessitates the development of in silico prediction methods for functional annotations on proteins. In this chapter, different kinds of computational approaches are briefly introduced to predict DNA-binding residues on surface of DNA-binding proteins, and the merits and limitations of these methods are mainly discussed. This chapter focuses on the structure-based approaches and mainly discusses the framework of machine learning methods in application to DNA-binding prediction task. |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 22% |
| Professor > Associate Professor | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Unknown | 5 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 1 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Chemistry | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Unknown | 5 | 56% |