Chapter title |
Protein–Protein Interface and Disease: Perspective from Biomolecular Networks
|
---|---|
Chapter number | 40 |
Book title |
Network Biology
|
Published in |
Advances in biochemical engineering biotechnology, January 2016
|
DOI | 10.1007/10_2016_40 |
Pubmed ID | |
Book ISBNs |
978-3-31-956459-3, 978-3-31-956460-9
|
Authors |
Guang Hu, Fei Xiao, Yuqian Li, Yuan Li, Wanwipa Vongsangnak |
Abstract |
Protein-protein interactions are involved in many important biological processes and molecular mechanisms of disease association. Structural studies of interfacial residues in protein complexes provide information on protein-protein interactions. Characterizing protein-protein interfaces, including binding sites and allosteric changes, thus pose an imminent challenge. With special focus on protein complexes, approaches based on network theory are proposed to meet this challenge. In this review we pay attention to protein-protein interfaces from the perspective of biomolecular networks and their roles in disease. We first describe the different roles of protein complexes in disease through several structural aspects of interfaces. We then discuss some recent advances in predicting hot spots and communication pathway analysis in terms of amino acid networks. Finally, we highlight possible future aspects of this area with respect to both methodology development and applications for disease treatment. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 29% |
Student > Bachelor | 2 | 12% |
Student > Doctoral Student | 1 | 6% |
Professor | 1 | 6% |
Unspecified | 1 | 6% |
Other | 4 | 24% |
Unknown | 3 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 53% |
Agricultural and Biological Sciences | 1 | 6% |
Sports and Recreations | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Chemistry | 1 | 6% |
Other | 1 | 6% |
Unknown | 3 | 18% |