protein engineering
PulseAugur coverage of protein engineering — every cluster mentioning protein engineering across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Machine learning's role in directed evolution analyzed
A retrospective analysis of machine learning's impact on directed evolution over the past five years reveals a significant disconnect between ML researchers' goal of identifying optimal proteins and the broader directed…
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Machine learning's role in directed evolution falls short due to misaligned goals
A retrospective on machine learning's impact on directed evolution reveals a significant gap between the goals of ML-assisted directed evolution (MLDE) researchers and the broader field. While MLDE researchers often aim…
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LLM-powered agents simplify protein engineering for biologists
Two new agent frameworks, AutoProteinEngine (AutoPE) and TourSynbio-Search, have been developed to simplify protein engineering for biologists. AutoPE utilizes large language models (LLMs) to enable natural language int…