CABS-flex predictions of protein flexibility compared with NMR ensembles
arXiv:1403.4954 · doi:10.1093/bioinformatics/btu184
Abstract
Motivation: Identification of flexible regions of protein structures is important for understanding of their biological functions. Recently, we have developed a fast approach for predicting protein structure fluctuations from a single protein model: the CABS-flex. CABS-flex was shown to be an efficient alternative to conventional all-atom molecular dynamics (MD). In this work, we evaluate CABS-flex and MD predictions by comparison with protein structural variations within NMR ensembles. Results: Based on a benchmark set of 140 proteins, we show that the relative fluctuations of protein residues obtained from CABS-flex are well correlated to those of NMR ensembles. On average, this correlation is stronger than that between MD and NMR ensembles. In conclusion, CABS-flex is useful and complementary to MD in predicting of protein regions that undergo conformational changes and the extent of such changes.
References in corpus (1)
Cited by in corpus (6)
- CABS-flex 2.0: a web server for fast simulations of flexibility of protein structures
- CABS-dock web server for the flexible docking of peptides to proteins without prior knowledge of the binding site
- In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19
- Modeling of protein-peptide interactions using the CABS-dock web server for binding site search and flexible docking
- Predicting protein dynamics from structural ensembles
- One-Dimensional Structural Properties of Proteins in the Coarse-Grained CABS Model