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Diverse MSAs are better for training structure prediction neural networks than random MSAs

Diverse MSAs are better for training structure prediction neural networks than random MSAs

Created Jan 26, 2026Modified Apr 21, 2026

  • protein-language-models/training
  • structure-prediction/training

Summary

Training neural networks that operate on MSAs is improved when diversity is greedily maximized (1).

See also

  • Evoformer
  • MSA Transformer
  • Sequence diffusion
  • Variant effect prediction with homology-aware PLMs improves with ensembling of multiple prompts
1.
Alamdari S, Thakkar N, van den Berg R, Tenenholtz N, Strome R, Moses AM, et al. Protein generation with evolutionary diffusion: sequence is all you need. openRxiv; 2023. Available from: https://doi.org/10.1101/2023.09.11.556673

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