Sentence examples for simulation by removing from inspiring English sources

The protein targets were prepared for molecular docking simulation by removing water molecules and bound ligands.

We constructed an l-glutamic acid fermentation simulation model by removing sucAB, a gene encoding α-ketoglutarate dehydrogenase.

It is common to correct the GCM simulations by removing the systematic biases at the time scale of interest, usually individually for each GCM variable that is needed.

To identify the epidemiologic synergy at different periods of the HIV epidemic, we calculated the PAF for different time points in a separate set of simulations by removing the cofactor effect on HIV transmission over two years, starting at times (t) 0, 8, 15, and 20 after the introduction of HIV.

The splint model was simplified to facilitate simulation calculations by removing round edges and screw seats.

The decamer used in the simulations is created by removing the A B dimer.

Then the system was gradually heated in the NVT ensemble from 0 K to 300 K over a period of 200 ps using Langevin thermostat with coupling coefficient of 1.0 ps and a weak constraint of 10 kcal·mon−1·Å−2 onucleotideses, and the system was subjected to an equilibrium simulation for 200 ps by removing all constraints.

Spector intended for Deus Ex to be an "immersive simulation" similar to Ultima Underworld by removing reminders of the game world such as interface or backstory.

Conditioning on the common causal variant rather than the most associated SNP (which is only possible in simulation studies) reduces the bias by removing the SNP selection problem, but does not eliminate it due to the overestimation of effect size (Fig.  1, track C2).

Similar simulations were then further conducted by removing an equal number of nodes (21.5 %) with respect to the following criteria: (a) nodal strength (high to low), (b) clustering (low to high), (c) nodal path length (low to high), (d) betweenness centrality (high to low), (e) subcortical region removal, and (f) embeddedness (high to low).

Simulation and experimental results demonstrate that by removing redundant regions these two post-processing methods can reduce the false acceptance error without significantly increasing the false rejection error.