Sentence examples for optimization candidate from inspiring English sources

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At each iteration of the optimization, candidate plant parameters are generated by using G-optimal DoE.

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Results show that, thanks to the combined usage of surrogate models and adaptive training in an evolutionary optimization framework, optimal candidates may be located even with limited computational resources with respect to plain evolutionary approaches and similar standard methodologies.

However, the optimization is based on algebra score alone, and algebra length computes additional information for each optimal candidate.

Within the proposed RA-AIS optimization, the candidate antibody is constructed by using frequency channels and time slots, and in the mutation phase, the candidate antibody evolves dynamically according to its corresponding readers' interfering power.

Project cycle time from lead optimization to candidate selection (integer>0).

The p K a values have found application in many areas, such as the evaluation and optimization of candidate drug molecules [1 3], ADME profiling [4, 5], pharmacokinetics [6], understanding of protein-ligand interactions [7, 8], etc.

Following RNA and codon optimization, 50 candidate genes representing five classes of human proteins – transcription factors, ribosomal and polymerase subunits, protein kinases, membrane proteins and immunomodulators – all showed reliable, and 86% even elevated expression.

As a performance optimization, the candidate sequence is compared to all sequences in the reference set.

The ultimate objective was to derive guidelines that could be interpreted in terms of the chemical structure of the ligand to aid in reducing risk in the lead optimization and candidate selection phases of a discovery research project.

6 He outlined PBPK modeling strategies and approaches used in industry across the drug development continuum, and underscored the role of PBPK in applications specific to decision-making in industry, including lead optimization and candidate selection, prediction of first-in-human PK, and its supportive role in enabling decision-making in later phases of clinical development.

The multi-level analysis of patterns of immunogenicity across different groups of bacteria provides a new way to approach questions of bacterial immune camouflage or escape, as well as to approach the selection and optimization of candidates for vaccine design.

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