Sentence examples for predictions of activities from inspiring English sources

Exact(1)

Our theoretical predictions of activities of Cp and Qp presented in Table 2 correspond quite well to these experimental results.

Similar(59)

In benchmark calculations on sets of known active and inactive compounds, conditional probability calculations yielded reasonably accurate predictions of activity, at least comparable to current state-of the-art machine learning approaches.

For mammalian toxicity, Derek reports confidence in predictions of activity, or likelihood that activity will be seen, using terms such as "probable", "plausible".

We have identified 2-aminopyridine-3-carbonitriles as a series that showed agreement between both the ligand- and structure-based predictions of activity against A1R, A2AR and PDE10A.

Alignment-free three-dimensional quantitative structure-activity relationship models developed on the basis of GRid Independent descriptors and partial least squares regression analysis, allow feasible predictions of activity of new compounds and reveal structural requirements for optimal affinity, particularly in the case of the 5-HT2A receptor.

Taken together, these observations show that our approach could be instrumental in translating high-throughput datasets generated by vastly different technologies into consistent predictions of activity of underlying signaling pathways and key regulatory proteins.

Twenty-four organicompoundsds currently undergoing testing within cancer bioassays under the aegis of the U.S. National Toxicology Program (NTP) were submitted to the computer automated structure evaluation (CASE) and multiple computer automated structure evaluation (MULTICASE) system for predictions of activity.

We looked for predictions of activity of upstream regulators that were consistent at all times, and also for those that might be switched on and off at different points in the study.

More recently, researchers have tended to use behavioral data-driven approaches (e.g., Seymour et al. 2004; Carter et al. 2006; Kalisch et al. 2006a) as these generate biologically more plausible predictions of activity time courses.

The prediction of activity spectra for substances (PASS) software predicts the probability of biological properties of chemicals.

Prediction of Activity Spectra Analysis of the title compound, predicts anti-diabetic activity with probability to have an active value of 0.348.

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