TY - JOUR
T1 - BioFET-SIM web interface
T2 - implementation and two applications
AU - Hediger, Martin Robert
AU - Jensen, Jan Halborg
AU - De Vico, Luca
N1 - e45379
PY - 2012/10/8
Y1 - 2012/10/8
N2 - We present a web interface which allows us to conveniently set up calculations based on the BioFET-SIM model. With the interface, the signal of a BioFET sensor can be calculated depending on its parameters, as well as the signal dependence on pH. As an illustration, two case studies are presented. In the first case, a generic peptide with opposite charges on both ends is inverted in orientation on a semiconducting nanowire surface leading to a corresponding change in sign of the computed sensitivity of the device. In the second case, the binding of an antibody/antigen complex on the nanowire surface is studied in terms of orientation and analyte/nanowire surface distance. We demonstrate how the BioFET-SIM web interface can aid in the understanding of experimental data and postulate alternative ways of antibody/antigen orientation on the nanowire surface.
AB - We present a web interface which allows us to conveniently set up calculations based on the BioFET-SIM model. With the interface, the signal of a BioFET sensor can be calculated depending on its parameters, as well as the signal dependence on pH. As an illustration, two case studies are presented. In the first case, a generic peptide with opposite charges on both ends is inverted in orientation on a semiconducting nanowire surface leading to a corresponding change in sign of the computed sensitivity of the device. In the second case, the binding of an antibody/antigen complex on the nanowire surface is studied in terms of orientation and analyte/nanowire surface distance. We demonstrate how the BioFET-SIM web interface can aid in the understanding of experimental data and postulate alternative ways of antibody/antigen orientation on the nanowire surface.
U2 - 10.1371/journal.pone.0045379
DO - 10.1371/journal.pone.0045379
M3 - Journal article
C2 - 23056201
SN - 1932-6203
VL - 7
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 10
ER -