NucB sampling:

<p>Performance comparison between BADASS, EvoProtGrad and GGS using ESM2 and Seq2Fitness models. As benchmark, the reference NucB sequence has an ESM2 fitness of 0.0, and a Seq2Fitness score of -0.677. BADASS was run for 200 iterations with a batch size of 520 sequences.</p>

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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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Description
Summary:	<p>Performance comparison between BADASS, EvoProtGrad and GGS using ESM2 and Seq2Fitness models. As benchmark, the reference NucB sequence has an ESM2 fitness of 0.0, and a Seq2Fitness score of -0.677. BADASS was run for 200 iterations with a batch size of 520 sequences.</p>

NucB sampling:

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