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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Claim

A Genetic Algorithm to scour protein sequence space: A novel framework for protein engineering using protein language models and force fields

Research datakeyboard_double_arrow_right Dataset 17 Nov 2025Publisher:Zenodo
Authors: Sartori, Joao;

doi: 10.5281/zenodo.17632559 , 10.5281/zenodo.17632558

A Genetic Algorithm to scour protein sequence space: A novel framework for protein engineering using protein language models and force fields

Abstract

This files contains all codes and results presented on the paper "A Genetic Algorithm to scour protein sequence space: A novel framework for protein engineering using protein language models and force fields". Separated by the optimization using Simulated Annealing, the genetic algorithm with ESM2 seeded and Natural enzyme seed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average