Improved contact predictions using the recognition of protein like contact patterns

HIGHLIGHTS

• who: Triomflaan and collaborators from the Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden, Science for Life Laboratory, Stockholm University, Solna, SwedenEditor: Guanghong Wei, Fudan University, China have published the research work: Improved Contact Predictions Using the Recognition of Protein Like Contact Patterns, in the Journal: (JOURNAL)
• what: The authors show that a deep learning pattern_recognition-based approach improves the accuracy significantly for all types of proteins, residue separations and numbers of homologous sequences. The authors compare PconsC2 to a set of alternative contact prediction methods, including mutual information (MI) and MI with phylogenetic . . .
  

   

  

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