Showing 821 - 840 results of 29,395 for search '(( a web decrease ) OR ( 50 ((((ms decrease) OR (a decrease))) OR (nn decrease)) ))', query time: 0.92s Refine Results
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    Stability scores with refinement, no USM decreases, no W. by Jedediah M. Singer (10331212)

    Published 2022
    “…<p>Effects of guided and random substitutions within GM designs with a maximum sequence identity to any expert-designed protein of less than 50%, when guided substitutions are not permitted to decrease USM EC<sub>50</sub> predictions and neither guided nor random substitutions are allowed to change amino acids to tryptophan.…”
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    Stability scores with refinement, no USM decreases, no AFILMVWY. by Jedediah M. Singer (10331212)

    Published 2022
    “…<p>Effects of guided and random substitutions within GM designs with a maximum sequence identity to any expert-designed protein of less than 50%, when guided substitutions are not permitted to decrease USM EC<sub>50</sub> predictions and neither guided nor random substitutions are allowed to change amino acids to alanine, phenylalanine, isoleucine, leucine, methionine, valine, tryptophan, or tyrosine.…”
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    S1 File - by Chantelle M. de Vet (16535257)

    Published 2024
    “…The student’s RV-GLS consistency was poor during the first 25 measurements, moderate-to good during the second 25 measurements and again poor-to-moderate during the final 50 measurements. Repeated measurements analysis showed a significant decrease in variability of the LV- and RV-GLS score differences between the expert and trainees over time (<i>p</i><sub>adj</sub><0.001), which was not significantly different between trainees. …”
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    GLS analysis with 2D-STE software. by Chantelle M. de Vet (16535257)

    Published 2024
    “…The student’s RV-GLS consistency was poor during the first 25 measurements, moderate-to good during the second 25 measurements and again poor-to-moderate during the final 50 measurements. Repeated measurements analysis showed a significant decrease in variability of the LV- and RV-GLS score differences between the expert and trainees over time (<i>p</i><sub>adj</sub><0.001), which was not significantly different between trainees. …”
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