Prediction of protein binding regions in disordered proteins.
Many disordered proteins function via binding to a structured partner and undergo a disorder-to-order transition. The coupled folding and binding can confer several functional advantages such as the precise control of binding specificity without increased affinity. Additionally, the inherent flexibility allows the binding site to adopt various conformations and to bind to multiple partners. These features explain the prevalence of such binding elements in signaling and regulatory processes. In this work, we report ANCHOR, a method for the prediction of disordered binding regions. ANCHOR relies on the pairwise energy estimation approach that is the basis of IUPred, a previous general disorder prediction method. In order to predict disordered binding regions, we seek to identify segments that are in disordered regions, cannot form enough favorable intrachain interactions to fold on their own, and are likely to gain stabilizing energy by interacting with a globular protein partner. The performance of ANCHOR was found to be largely independent from the amino acid composition and adopted secondary structure. Longer binding sites generally were predicted to be segmented, in agreement with available experimentally characterized examples. Scanning several hundred proteomes showed that the occurrence of disordered binding sites increased with the complexity of the organisms even compared to disordered regions in general. Furthermore, the length distribution of binding sites was different from disordered protein regions in general and was dominated by shorter segments. These results underline the importance of disordered proteins and protein segments in establishing new binding regions. Due to their specific biophysical properties, disordered binding sites generally carry a robust sequence signal, and this signal is efficiently captured by our method. Through its generality, ANCHOR opens new ways to study the essential functional sites of disordered proteins.
Mészáros
Bálint
B
Institute of Enzymology, Biological Research Center, Hungarian Academy of Sciences, Budapest, Hungary.
Simon
István
I
Dosztányi
Zsuzsanna
Z
D000465:Algorithms; D000595:Amino Acid Sequence; D030562:Databases, Protein; D006801:Humans; D010363:Pattern Recognition, Automated; D011485:Protein Binding; D011487:Protein Conformation; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry* / Q000235:genetics / Q000378:metabolism*; D040901:Proteomics; D012372:ROC Curve; D013816:Thermodynamics; D016159:Tumor Suppressor Protein p53 / Q000737:chemistry / Q000378:metabolism; D051316:Wiskott-Aldrich Syndrome Protein / Q000737:chemistry / Q000378:metabolism
D011506:Proteins; D016159:Tumor Suppressor Protein p53; D051316:Wiskott-Aldrich Syndrome Protein