Sentence examples for widely used inputs from inspiring English sources

Similar to MD, DISpro and MULTICOM, we use the sequence profiles (the most widely used inputs; Table 1), predicted secondary structure (SS) [disordered regions are characterized by lack of SS (Radivojac et al., 2004, 2007; Vucetic et al., 2003)] and solvent accessibility [unstructured regions have a large solvent-accessible area (Schlessinger et al., 2009)].

Two of the most widely used applications for input preparation are MOE Chemical Computing Groupp) and Maestro (Schrodinger).

Binding domains of proteins and Förster resonance energy transfer (FRET) have emerged as one of the most potent and widely used combinations of input and output, respectively.

With limited government inputs, widely used frameworks such as the GRI have been developed and refined in negotiations between often thousands of reporters and their stakeholders from around the world.

Operational modal analysis (OMA), or output-only modal analysis, has been extensively developed in the past decades and widely used especially when the input is unknown and difficult to measure.

Generally, energy density E is widely used to characterize energy input, which is a measure of the average applied energy per unit volume of the deposited material in an SLM process.

Since the tensor product basis function based simulator is widely used to approximate the input-output relationship of complicated structure, the analytical solution of the variance based global sensitivity is especially applicable to engineering practice problems.

The dimensionless parameters of these widely used formulae are used as inputs in a new regression approach.

AutoDockTools software, widely used as interface for preparing input files, utilizes the either Gasteiger or Kollman partial charge calculation method for both protein and ligand charge calculations.

Sensory integration therapy and auditory integration therapy, which utilize a variety of anticipation, stimulation and calming techniques to modify the child's response to sensory input, are widely used.

The Linear-Nonlinear-Poisson (LNP) model (Chichilnisky, 2001; Dayan, 2001; Ringach and Shapley, 2004; Bialek and van Steveninck, 2005; Schwartz et al., 2006; Kim et al., 2011) is widely used to relate time-varying input to stochastic output.