Evolutionary-guided de novo structure prediction of self-associated transmembrane helical proteins with near-atomic accuracy

HIGHLIGHTS

• who: Y. Wang from the (UNIVERSITY) have published the research work: Evolutionary-guided de novo structure prediction of self-associated transmembrane helical proteins with near-atomic accuracy, in the Journal: NATURE COMMUNICATIONS NATURE COMMUNICATIONS of 21/05/2015
• what: The authors develop EFDOCK-TM a general method to predict self-associated transmembrane protein helical (TMH) structures from sequence guided by co-evolutionary information. The authors show that accurate intermolecular contacts can be identified using a combination of protein sequence covariation and TMH binding surfaces predicted from sequence. The authors show that a very small number . . .
  

   

  

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