title: Probing protein orientation near charged nanosurfaces for simulation-assisted biosensor design.
abstract: Protein-surface interactions are ubiquitous in biological processes and bioengineering, yet are not fully understood. In biosensors, a key factor determining the sensitivity and thus the performance of the device is the orientation of the ligand molecules on the bioactive device surface. Adsorption studies thus seek to determine how orientation can be influenced by surface preparation, varying surface charge, and ambient salt concentration. In this work, protein orientation near charged nanosurfaces is obtained under electrostatic effects using the Poisson-Boltzmann equation, in an implicit-solvent model. Sampling the free energy for protein G B1 D4' at a range of tilt and rotation angles with respect to the charged surface, we calculated the probability of the protein orientations and observed a dipolar behavior. This result is consistent with published experimental studies and combined Monte Carlo and molecular dynamics simulations using this small protein, validating our method. More relevant to biosensor technology, antibodies such as immunoglobulin G are still a formidable challenge to molecular simulation, due to their large size. With the Poisson-Boltzmann model, we obtained the probability distribution of orientations for the iso-type IgG2a at varying surface charge and salt concentration. This iso-type was not found to have a preferred orientation in previous studies, unlike the iso-type IgG1 whose larger dipole moment was assumed to make it easier to control. Our results show that the preferred orientation of IgG2a can be favorable for biosensing with positive charge on the surface of 0.05 C/m(2) or higher and 37 mM salt concentration. The results also show that local interactions dominate over dipole moment for this protein. Improving immunoassay sensitivity may thus be assisted by numerical studies using our method (and open-source code), guiding changes to fabrication protocols or protein engineering of ligand molecules to obtain more favorable orientations.
authors.affiliation: Mechanical Engineering, Boston University, Boston, Massachusetts 02215, USA.
authors.forename: Christopher D
authors.initials: CD
authors.lastname: Cooper
authors.affiliation: Mechanical and Aerospace Engineering, The George Washington University, Washington, DC 20052, USA.
authors.forename: Natalia C
authors.initials: NC
authors.lastname: Clementi
authors.affiliation: Mechanical and Aerospace Engineering, The George Washington University, Washington, DC 20052, USA.
authors.forename: Lorena A
authors.initials: LA
authors.lastname: Barba
mesh_terms: D015374:Biosensing Techniques / Q000295:instrumentation* / Q000379:methods; D004867:Equipment Design / Q000379:methods*; D007074:Immunoglobulin G / Q000737:chemistry; D056004:Molecular Dynamics Simulation; D009010:Monte Carlo Method; D049329:Nanostructures / Q000737:chemistry*; D011506:Proteins / Q000737:chemistry*; D015203:Reproducibility of Results; D012997:Solvents / Q000737:chemistry; D055672:Static Electricity; D013499:Surface Properties
chemical_list: D007074:Immunoglobulin G; D011506:Proteins; D012997:Solvents