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...

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Bibliographic Details
Main Author:	Carlos A. Gomez-Uribe (21492788) (author)
Other Authors:	Japheth Gado (21492791) (author), Meiirbek Islamov (9733301) (author)
Published:	2025
Subjects:	Biophysics Biochemistry Evolutionary Biology Biological Sciences not elsewhere classified protein engineering approach prevent premature convergence large language model innovative optimization algorithm dynamically adjusting temperature combining evolutionary data sequences containing mutations amino acid sequences div >< p badass may generalize badass efficiently explores loop </ p 000 sequences identified experimental fitness measurements generate diverse high predict fitness landscapes b </ b </ b 000 sequences fitness sequences experimental labels designing diverse design sequences 000 ). badass exceed predicted fitness underlying mechanism top 1 sequence spaces positions entirely performance proteins new semi mutation energies machine learning every cutoff directed evolution alternative models
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Order parameters versus temperature for amylase tasks:

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