Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sheng-Hung Juan"'
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0254555 (2021)
The secondary structure prediction (SSP) of proteins has long been an essential structural biology technique with various applications. Despite its vital role in many research and industrial fields, in recent years, as the accuracy of state-of-the-ar
Externí odkaz:
https://doaj.org/article/e18894c3c3cf46d8b893b6449e00f157
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0255076 (2021)
Protein secondary structure prediction (SSP) has a variety of applications; however, there has been relatively limited improvement in accuracy for years. With a vision of moving forward all related fields, we aimed to make a fundamental advance in SS
Externí odkaz:
https://doaj.org/article/c52978beb14f4a9f8822d4eeb7497831
Publikováno v:
PLoS ONE, Vol 15, Iss 6, p e0235153 (2020)
The secondary structure prediction of proteins is a classic topic of computational structural biology with a variety of applications. During the past decade, the accuracy of prediction achieved by state-of-the-art algorithms has been >80%; meanwhile,
Externí odkaz:
https://doaj.org/article/7073b671594f447398e1830a505673da
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 7, p e0255076 (2021)
PLoS ONE, Vol 16, Iss 7, p e0255076 (2021)
Protein secondary structure prediction (SSP) has a variety of applications; however, there has been relatively limited improvement in accuracy for years. With a vision of moving forward all related fields, we aimed to make a fundamental advance in SS
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 6, p e0235153 (2020)
PLoS ONE, Vol 15, Iss 6, p e0235153 (2020)
The secondary structure prediction of proteins is a classic topic of computational structural biology with a variety of applications. During the past decade, the accuracy of prediction achieved by state-of-the-art algorithms has been >80%; meanwhile,
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 7, p e0254555 (2021)
PLoS ONE, Vol 16, Iss 7, p e0254555 (2021)
The secondary structure prediction (SSP) of proteins has long been an essential structural biology technique with various applications. Despite its vital role in many research and industrial fields, in recent years, as the accuracy of state-of-the-ar