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Predicting Protein Conformational Disorder and Disordered Binding Sites
| Content Provider | Hyper Articles en Ligne (HAL) |
|---|---|
| Author | Tamburrini, Ketty Pesce, Giulia Nilsson, Juliet Gondelaud, Frank Kajava, Andrey Berrin, Jean-Guy Longhi, Sonia |
| Abstract | In the last two decades it has become increasingly evident that a large number of proteins adopt either a fully or a partially disordered conformation. Intrinsically disordered proteins are ubiquitous proteins that fulfill essential biological functions while lacking a stable 3D structure. Their conformational heterogeneity is encoded by the amino acid sequence, thereby allowing intrinsically disordered proteins or regions to be recognized based on their sequence properties. The identification of disordered regions facilitates the functional annotation of proteins and is instrumental for delineating boundaries of protein domains amenable to crystallization. This chapter focuses on the methods currently employed for predicting protein disorder and identifying intrinsically disordered binding sites. |
| Related Links | https://hal.science/hal-03834097/file/Chapter%20on%20disorder%20predictors%20310521%20%28S%20Longhi%29.pdf |
| DOI | 10.1007/978-1-0716-2095-3_4 |
| Volume Number | 2449 |
| Language | English |
| Publisher | HAL CCSD Springer US |
| Publisher Date | 2022-05-05 |
| Access Restriction | Open |
| Subject Keyword | intrinsically disordered binding sites intrinsic disorder intrinsically disordered proteins induced folding disorder databases and metaservers intrinsically disordered regions prediction methods and tools Life Sciences [q-bio] |
| Content Type | Text |
| Resource Type | Chapter |
| Subject | Biochemistry, Genetics and Molecular Biology |