Order parameters versus temperature for amylase tasks:
<p>mean score and variance of scores versus temperature after initial transient, i.e., at steady-state oscillatory BADASS behavior. Markers come from BADASS runs, and lines are fits using Eqs 5–7 in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013119#pcbi...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| الملخص: | <p>mean score and variance of scores versus temperature after initial transient, i.e., at steady-state oscillatory BADASS behavior. Markers come from BADASS runs, and lines are fits using Eqs 5–7 in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013119#pcbi.1013119.s001" target="_blank">S1 Text</a>. These were obtained from cooling then heating runs of our algorithm for the amylase task: on the left using the ESM2 mutant marginal score, and on the right using the machine learning model that predicts fitness for stain removal and dp3 function. We ran the algorithm for 250 iterations, scoring 500 sequences in each iteration, and show all data for iterations larger than 100 to avoid the initial transient. The peak of the variance at intermediate temperatures is striking. Running the algorithm with an even blend of numbers of mutations changes the variance behavior, and was not fit to our equations. The mean and variance traces here are reminiscent of the magnetization and susceptibility in Ising models.</p> |
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