By means of computational modeling, we demonstrate that interindividual variability in stress reactivity predicts impairments in model-based decision-making.
Using glycan microarrays, protein microarrays, cell binding studies, and molecular modeling, we demonstrate that therapeutic antibodies to the tumor-associated ganglioside GD2 evolved from highly specific germline precursors.
Through analytical modeling, we demonstrate that by assigning appropriate different attempt probabilities (or contention window sizes) to stations of different classes, it is feasible to provide (proportional) service differentiation and achieve pre-specified targeted throughput ratios among different classes, while at the same time, maximizing the total system capacity.
Using mathematical modeling, we demonstrate how a non-diffusive morphogen concentration gradient can develop in axially growing tissue systems, where growth is due to cell proliferation only.
In addition to the previously demonstrated applications of sequence alignment, fold identification, template selection, and homology modeling, we demonstrate herein, application of the described PCAIN-based structure prediction methodology to derive biological insight into potential structure-function relationships of proteins with hitherto unresolved structure.
Using transcriptional profiling, in vivo-like experimental conditions, and mathematical modeling, we demonstrate that the formation of these drug-tolerant cells is affected by oxygen and nitrate and that these cells adopt an anaerobic metabolism.
By nuclear magnetic resonance and molecular modeling, we demonstrated that the YSNSG cyclopeptide actually adopted the expected β-turn conformation.
Drawing on cumulative prospect theory (CPT Tversky & Kahnemann, 1992) as the currently most influential instance of a descriptive algebraic model, we demonstrate how the two modeling traditions can be linked.
Based on this new model, we demonstrate various diffusion strategies for firms of different size.
Using multiple regression models, we demonstrate how differences in research ensembles lead to differences in working conditions and job satisfactions.
"Using tumor-bearing mouse models, we demonstrate that intravenously injected DNA nanorobots deliver thrombin specifically to tumor-associated blood vessels and induce intravascular thrombosis, resulting in tumor necrosis and inhibition of tumor growth," the paper explains.
