Modeling the Structure and Interactions of Intrinsically Disordered Peptides with Multiple Replica, Metadynamics-Based Sampling Methods and Force-Field Combinations.
Lunna LiTommaso CasaliniPaolo ArosioMatteo SalvalaglioPublished in: Journal of chemical theory and computation (2022)
Intrinsically disordered proteins play a key role in many biological processes, including the formation of biomolecular condensates within cells. A detailed characterization of their configurational ensemble and structure-function paradigm is crucial for understanding their biological activity and for exploiting them as building blocks in material sciences. In this work, we incorporate bias-exchange metadynamics and parallel-tempering well-tempered metadynamics with CHARMM36m and CHARMM22* to explore the structural and thermodynamic characteristics of a short archetypal disordered sequence derived from a DEAD-box protein. The conformational landscapes emerging from our simulations are largely congruent across methods and force fields. Nevertheless, differences in fine details emerge from varying combinations of force-fields and sampling methods. For this protein, our analysis identifies features that help to explain the low propensity of this sequence to undergo self-association in vitro, which are common to all force-field/sampling method combinations. Overall, our work demonstrates the importance of using multiple force-field and sampling method combinations for accurate structural and thermodynamic information in the study of disordered proteins.
Keyphrases
- single molecule
- molecular dynamics
- amino acid
- induced apoptosis
- molecular dynamics simulations
- protein protein
- air pollution
- genome wide
- high resolution
- oxidative stress
- cell proliferation
- cell cycle arrest
- mass spectrometry
- endoplasmic reticulum stress
- health information
- small molecule
- convolutional neural network
- pi k akt