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January 17, 2023Journal of Chemical Information and Modeling

AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree

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Authors

AKAdnan KhanJUJamal UddinFAFarman Ali

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Khan et al. (2023) studied this question.

synapsesocial.com/papers/69da23e7a6045d71bfa3c181https://doi.org/10.1021/acs.jcim.2c01417
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Also Consider

Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1SPOTONE: Hot Spots on Protein Complexes with Extremely Randomized Trees via Sequence-Only Features2020 · 28 citations
  2. 2Lateral Transfer of a Lectin-Like Antifreeze Protein Gene in Fishes2008 · 106 citations
  3. 3AFP-LSE: Antifreeze Proteins Prediction Using Latent Space Encoding of Composition of k-Spaced Amino Acid Pairs2020 · 53 citations