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- W2047962508 abstract "In silico protein structure prediction using efficient fully automated servers continues to remain a challenging problem. While many of these servers can generate near-native structures, the lack of reliable structure quality assessment methods makes the identification of these structures problematic. The most common way of discriminating between predicted structures of a given protein is to employ either knowledge or physics based energy functions. Our recently developed MUFOLD-MD server uses an alternative ranking method of the predicted protein structures by testing their relative stability against gradual heating during all atom molecular dynamics (MD) simulations." @default.
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- W2047962508 date "2011-02-01" @default.
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- W2047962508 title "Quality Assessment of Predicted Protein Structures by Using Molecular Dynamic Simulations" @default.
- W2047962508 doi "https://doi.org/10.1016/j.bpj.2010.12.1381" @default.
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