Prediction of allosteric sites and signaling: insights from benchmarking datasets

HIGHLIGHTS

• who: Nan Wu from the College London, London , BZ, UK have published the Article: Prediction of allosteric sites and signaling: Insights from benchmarking datasets, in the Journal: (JOURNAL) of January/14,/2022
• what: The authors demonstrate how bond-to-bond propensity analysis is used to not only predict allosteric sites large benchmarking datasets but also to shed light on the possible allosteric mechanisms involved. The authors show in this work that bond-to-bond propensity analysis achieves overall higher accuracy in the ASBench dataset compared to the other methods using the same benchmarking dataset . The . . .
  

   

  

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