We based our design on the nitrophenyl-based photolabile protecting group (cage) nitroveratryloxycarbonyl (NVOC) rather than other commonly employed cages such as methoxy nitroindolinyl (MNI) or nitrophenyl ethyl (NPE) since it could be easily derivatised at its phenolic positions.
Instead of having two different insertion devices and optical schemes for low and high photon energy regions, we have based our design on a single long-period, elliptically polarizing undulator and a plane grating monochromator.
To reduce development time and costs, we based our design on readily available, standardised modules such as a 486DX100 compatible CPU, a data acquisition board, a flash disk storage unit, and a high-efficiency DC/DC switch-mode power supply.
We based our design on the endogenous human miRNA genomic template-strand sequences, and included DNA encoding ∼3 helical turns of the pri-miRNA stem-loop sequence (Fig. 1B), the minimum stem length required for Drosha/Microprocessor processing [14], [15].
We based our design on the hypothesis that an accurate predictive model may need several markers, and that markers closer to the malignant phenotype (activated, phosphorylated proteins) may be better predictors than DNA/RNA markers or inactive (unphosphorylated) protein markers.
We have based our design on the data of a cohort of 112 patients, analyzed using the same MRI machine and who also have an LIC quantified using chemical measurements in liver biopsies, provided that, using tubes with different FeCl3 solutions, we were able to reproduce accurately the behavior seen in patients with different levels of iron overload.
We base our design on the microcontroller TI MSP430F5438 and on the radio chip TI CC1100E.
We based our design and development on the broad research, computational and translational science expertise available at the seven National Centers for Biomedical Computing.
We based our design, which used S. cerevisiae dynein, on a linker sensor developed for D. discoideum dynein (Kon et al., 2005).
We integrated quantitative skill application into the existing curriculum and based our course design on recognized effective teaching practice centered on active learning and providing frequent formative assessment opportunities for the instructor and students.
We based our synthetic design on an innovative pharmacophore, 2-methylene-4-cyclopentene-1,3-dione.
