From: CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networks
measure
H
E
C
Q s
82.7
69.3
84.0
Q s p r e MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqWGrbqudaqhaaWcbaGaem4CamhabaGaemiCaaNaemOCaiNaemyzaugaaaaa@339C@
84.4
78.9
78.3
MC
0.754
0.674
0.645