Reasoning chain: Phylogenetic bias affects protein design models

This reasoning chain explains how the presence of phylogenetic bias in large protein databases leads to downstream consequences for machine learning models trained for protein prediction or design. It connects the empirical finding of taxonomic biases in both the PDB and AFDB with their effect on the statistical utility and limitations of models relying on this training data.

Reasoning Steps (2)

Source

Connections (3)