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Description
  • We develop a method capable to identify important amino acids for histogram-based methods predicting DNA-binding propensity. This method can be used both for prediction from sequence information Tube Histograms) and prediction from structural information (Ball Histograms). We validate our method in prediction experiments using only proteins' primary structure, achieving favourable accuracies. Moreover, the histogram-based methods equipped with this new searching method also provide interpretable features involving distributions of amino acids.
  • We develop a method capable to identify important amino acids for histogram-based methods predicting DNA-binding propensity. This method can be used both for prediction from sequence information Tube Histograms) and prediction from structural information (Ball Histograms). We validate our method in prediction experiments using only proteins' primary structure, achieving favourable accuracies. Moreover, the histogram-based methods equipped with this new searching method also provide interpretable features involving distributions of amino acids. (en)
Title
  • Searching for Important Amino Acids in DNA-binding Proteins for Histogram Methods
  • Searching for Important Amino Acids in DNA-binding Proteins for Histogram Methods (en)
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  • Searching for Important Amino Acids in DNA-binding Proteins for Histogram Methods
  • Searching for Important Amino Acids in DNA-binding Proteins for Histogram Methods (en)
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  • RIV/68407700:21230/11:00181845!RIV12-MSM-21230___
http://linked.open...avai/riv/aktivita
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  • P(ME10047), S
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  • 228469
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  • RIV/68407700:21230/11:00181845
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  • Feature construction; Proteomics; DNA-binding proteins (en)
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  • [75B80968D3CD]
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  • Kuželka, Ondřej
  • Szabóová, Andrea
  • Tolar, J.
  • Železný, Filip
http://localhost/t...ganizacniJednotka
  • 21230
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