Monte Carlo simulations of antibody adsorption and orientation on charged surfaces.
Monte Carlo simulations were performed to study the adsorption and orientation of antibodies on charged surfaces based on both colloidal and all-atom models. The colloidal model antibody consists of 12 connected beads representing the 12 domains of an antibody molecule. The structure of the all-atom antibody model was taken from the protein databank. The effects of the surface charge sign and density, the solution pH and ionic strength on the adsorption and orientation of different colloidal model antibodies with different dipole moments were examined. Simulation results show that both the 12-bead and the all-atom models of the antibody, for which the dipole moment points from the Fc to (Fab)2 fragments, tend to have the desired "end-on" orientation on positively charged surfaces and undesired "head-on" orientation on negatively charged surfaces at high surface charge density and low solution ionic strength where electrostatic interactions dominate. At low surface charge density and high solution ionic strength where van der Waals interactions dominate, 12-bead model antibodies tend to have "lying-flat" orientation on surfaces. The orientation of adsorbed antibodies results from the compromise between electrostatic and van der Waals interactions. The dipole moment of an antibody is an important factor for antibody orientation on charged surfaces when electrostatic interactions dominate. This charge-driven protein orientation hypothesis was verified by our simulations results in this work. It was further confirmed by surface plasmon resonance biosensor and time-of-flight secondary ion mass spectrometry experiments reported elsewhere.
Zhou
Jian
J
Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, USA.
Tsao
Heng-Kwong
HK
Sheng
Yu-Jane
YJ
Jiang
Shaoyi
S
D000327:Adsorption; D000906:Antibodies / Q000737:chemistry*; D001665:Binding Sites; D003102:Colloids / Q000737:chemistry*; D003198:Computer Simulation; D004563:Electrochemistry / Q000379:methods*; D007074:Immunoglobulin G / Q000737:chemistry*; D008956:Models, Chemical; D008958:Models, Molecular; D015233:Models, Statistical; D009010:Monte Carlo Method; D011485:Protein Binding; D055672:Static Electricity; D013499:Surface Properties
D000906:Antibodies; D003102:Colloids; D007074:Immunoglobulin G