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An improved DNA-binding hot spot residues prediction method by exploring interfacial neighbor properties.

Sijia ZhangLihua WangLe ZhaoMenglu LiMengya LiuKe LiYannan BinJun-Feng Xia
Published in: BMC bioinformatics (2021)
We have developed an accurate improved prediction model, inpPDH, for hot spot residues in protein-DNA binding interfaces by given the structure of a protein-DNA complex. Moreover, we identify a comprehensive and useful feature subset including the proposed interfacial neighbor features that has an important strength for identifying hot spot residues. Our results indicate that these features are more effective than the conventional features considered previously, and that the combination of interfacial neighbor features and traditional features may support the creation of a discriminative feature set for efficient prediction of hot spot residues in protein-DNA complexes.
Keyphrases
  • dna binding
  • transcription factor
  • machine learning
  • ionic liquid
  • molecular dynamics simulations
  • protein protein
  • circulating tumor
  • single molecule
  • deep learning
  • circulating tumor cells