Showing 1,341 - 1,360 results of 32,318 for search '(( 50 ((we decrease) OR (((teer decrease) OR (a decrease)))) ) OR ( e point decrease ))', query time: 1.01s Refine Results
  1. 1341

    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.…”
  2. 1342

    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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  9. 1349

    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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  13. 1353

    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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