From: Analysis of an optimal hidden Markov model for secondary structure prediction
Test k a k s i a MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqqGubavcqqGLbqzcqqGZbWCcqqG0baDdaqhaaWcbaGaem4AaSMaemyyaeMaem4AaSMaem4CamNaemyAaKgabaGaemyyaegaaaaa@3A53@
Test d s s p b MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqqGubavcqqGLbqzcqqGZbWCcqqG0baDdaqhaaWcbaGaemizaqMaem4CamNaem4CamNaemiCaahabaGaemOyaigaaaaa@391A@
Test s t r i d e c MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqqGubavcqqGLbqzcqqGZbWCcqqG0baDdaqhaaWcbaGaem4CamNaemiDaqNaemOCaiNaemyAaKMaemizaqMaemyzaugabaGaem4yamgaaaaa@3BD0@
OSS-HMM k a k s i d MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacqqGpbWtcqqGtbWucqqGtbWucqqGTaqlcqqGibascqqGnbqtcqqGnbqtdaqhaaWcbaGaem4AaSMaemyyaeMaem4AaSMaem4CamNaemyAaKgabaGaemizaqgaaaaa@3CB6@
76.3
74.4
75.2
OSS-HMM dssp
73.8
75.5
75.4
OSS-HMM stride
75.3
76.02
76.7
PSIPRED
78.6
80.5
81.2