Protein Function Annotation Transfer: A Benchmark Study of Sequence and Structure Representations
DOI:
https://doi.org/10.5281/zenodo.22660825Keywords:
Protein Function Annotation Transfer; Applied machine learning; Evidence synthesis; Production deployment; MLOpsAbstract
Protein Function Annotation Transfer is an area of active development in applied machine learning, with evidence that has
accumulated unevenly across its component questions. We review the current evidence base for protein function annotation
transfer, spanning methodological, implementation, governance, and cost dimensions, focusing on where practice has converged
and where it continues to vary, and set out the practical considerations relevant to a team considering its adoption. We conclude
that selective, context-specific use is best supported by the evidence currently available, rather than uniform adoption or
avoidance.
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