Sentence examples for orphan compounds from inspiring English sources

These findings exhibit a drop in performance that is experienced during external validation, for situations when orphan compounds are distinct from the training set.

Instead of scattering its efforts among these causes, the institute's researchers are sifting through orphan compounds that might attack dehydration directly, by stopping the secretion of water into the gut.

Such approaches are designed to predict targets for orphan compounds early in the drug development phase, with the predictions forming the base of an experimental confirmation afterwards.

The objective of this work is concerned with the integration of such bioactivity data in the target prediction of orphan compounds to produce the probability of activity and inactivity for a range of targets.

Another target prediction algorithm developed by Koutsoukas et al. [39], is able to predict structure activity relationships (SARs) for orphan compounds using either a Laplacian-modified Naïve Bayes classifier or a Parzen-Rosenblatt Window (PRW) learner.

The objective of this work is hence concerned with the construction of an in silico target prediction approach that is able to consider both the probability for activity and inactivity of orphan compounds against a range of biological targets, thus, giving a more holistic perspective of chemical space for factors that contribute and counteract bioactivity.

Although most of these methods produce a probability of activity for an orphan compound against a given target, the approaches mentioned here do not utilise inactive bioactivity data [39].

Given that phenobarbital is often referred to as an "orphan compound" without a known direct target, EGFR may represent one of the molecular targets that initiates phenobarbital-mediated cellular responses, including CAR activation.

They are orphan receptors, exhibiting high affinity for compounds with psychotropic activity, which was explored for the development of antipsychotic drugs.

Here we report a high-throughput entry into the imidazopyridine scaffold, using a microfluidic-assisted synthesis setup, coupled to a target prediction tool to de-orphan a focused compound library with high success rate, and identify an innovative GPCR-inhibiting chemotype.

Just five pharmacological classes were represented: there were two immunosuppressants, two respiratory system compounds, three antimicrobials, ten pulmonary arterial hypertension compounds, and no less than 34 antineoplastic compounds (reflecting the fact that much current orphan drug research focuses on therapies for rare types of cancer [7]).