Sentence examples for optimization of identified from inspiring English sources
The results of molecular docking prompted the pharmacological studies for further optimization of identified selective inhibition.
The obtained results from pharmacological and molecular modeling studies can be utilized for further optimization of identified hits for selective inhibition of ACE.
Based on these findings we anticipate that the combination of composting conditions (30 55°C, pH 6 8), use of a targeted feedstock and codon optimization of identified candidate enzymes to improve heterologous expression will supply physiologically versatile and feedstock-specific enzymes applicable to emerging pretreatment practices such as ionic-liquid pretreatment [30].
Further optimization of identifying such dependencies and taking a mixed approach of bottom-up and top-down scheduling would bring the best of both worlds.
Most of the compounds resulted from a chemical optimization of previously identified molecules and some of them could represent suitable candidates for the development of advanced anticancer agents.
Current state-of-the-art medicinal chemistry allows for the design of inhibitor libraries targeting metalloenzymes and the efficient optimization of leads identified.
A potent and selective inhibitor of Akt1 and Akt2 (AKTi-1/2; naphthyridinone) was prepared through optimization of leads identified by a high-throughput screen for inhibitors of purified activated Akt1, Akt2 and Akt3 kinases [21].
The subsequent hit-to-lead evaluation and the success of lead optimization to identify a clinical candidate are critically dependent on the quality of the initial screening hit.
Holicky (2009) applied probabilistic methods of risk optimization to identify the most effective safety measures considered in the design of road tunnels.
The present study investigates the use of shape optimization to identify a maximum-strength onsert design.
It uses multi-objective dynamic optimization to identify the combination of targets (enzymatic modifications) and the degree of up- or down-regulation that must be performed in order to optimize a set of pre-defined performance metrics subject to process constraints.
