Sentence examples for probabilities of activity from inspiring English sources

In combination with the SAR matrix method, compound neighborhood analysis based upon Free-Wilson principles and derivation of conditional probabilities of activity are applicable to predict novel active compounds at different stages of chemical optimization efforts.

The conceptual basis of the approach is provided by the following ideas: based on the observed frequency of occurrence of given core and value fragments in active versus inactive compounds (in the following referred to as the active versus inactive class), probabilities of activity and inactivity can be derived for cores and values.

Logit analysis is used to estimate equations to predict the probabilities of activity interference and annoyance due to road traffic noise and aircraft noise at each site.

In the model, growth and branching processes are driven by the respective probabilities of activity, rest or death of apical and lateral buds.

These techniques can be used to enhance the effectiveness of lead-discovery programmes since they ensure that only those molecules with reasonable a priori probabilities of activity are considered for conventional biological screening.

Then the proportions of the compounds with low, high, and equivocal probabilities of activity are R −1(p L ), 1 − R −1(p H ) and R −1(p H ) − R −1(p L ), respectively, using the inverse function of R v).

A Bayesian classifier considers each structural feature or descriptor independent of the other descriptors, and the probability of activity is considered to be proportional to the ratio of actives to inactives that share the descriptor value.

The probability of activity in any of these scenarios can be conceptually derived from the probability of activation of a protein.

Such a conditional probability measures the probability of activity for one compound given that a structurally related compound was active.

In contrast to NBH-based prediction of numerical potency values, the conditional probability method can utilize approximate potency measurements (e.g., primary screening data) leading to a binary classification of inactive vs. active data set compounds and ensuing prediction of a probability of activity for VCs.

Suppose p L and p H are two thresholds that define "low probability of activity" and "high probability of activity".