Sentence examples for an interaction was calculated from inspiring English sources

The ability of each feature to predict the reliability of an interaction was calculated as a likelihood ratio.

The score for an interaction is calculated by evaluating the following equation for three descriptors: the deviation Δ from the ideal distance and the deviation from the ideal bond angles for each of the interaction partners.

The confidence value (CV) for experimental support of a predicted interaction was calculated using the following formula, CV = N x E x S; where N is the total number of data sets in which the interaction was recorded, E is the number of different experimental methods from which an interaction was inferred, and S is the number of reference species from which the same interaction was recorded.

The overall docking score of a chemical-protein interaction was calculated using simple energy calculations (electrostatic and van der Waals) with all default parameters used.

A P value for interaction was calculated, referring to the interaction term of the sex variable or the skin cancer history variable and total recreational activity (categorical) over the entire cohort.

Long range electrostatic interactions were calculated using smooth particle mesh Ewald method [ 66] which was occurring during the MD simulations and coulombic short range interaction was calculated using a cut-off scheme, with a cut-off radius of 9 Å for calculation.

Thus, the halogen bonding geometry of the database example was transferred as accurately as possible to our small model system and the interaction was calculated as an MP2 single point.

Subgroup analyses were also carried out in which the P-value for interaction was calculated with a Cox model including treatment group, baseline characteristics, and their interaction term.

The P-value for interaction was calculated using a likelihood ratio test to compare models with and without multiplicative interaction terms.

Genotype × environment (G × E) interaction was calculated using a two-way analysis of variance with environment (including both site and year) and genotype as variation factors.

The genotype-smoking interaction was calculated by introducing an interaction term into the multivariate logistic regression which was adjusted by age, sex, fmc, smoking status and genotype.