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Translation Libration Screw Motion Determination (TLSMD)[63] divides the protein into
segments whose rigid body motions best account for the observed distribution of
temperature factors in a crystal structure.
The FO (FlexOracle) family of hinge predictors generates protein fragments based on all
possible locations of one or two cuts on the backbone. It is based on the idea that
structural domains fold independently, therefore when the cuts coincide with the hinge
location, the free energy of folding will be minimal for the corresponding fragment pair.
HingeSeq is a hinge predictor based not on structure but rather on sequence features.
These methods are complementary to each other and to hNM since they use very
different information, namely bond network topology, experimental thermal factors,
estimated domain free energy of folding, and sequence. We run all of the predictors
against the HAG, then use various qualitative and quantitative measures to benchmark
and compare the performance of each method. Lastly, we combine all of the methods
using a voting scheme to create a new predictor called HingeMaster.
The hNM family of normal mode based hinge predictors
hNMa: Which normal mode eigenvector is most important for hinge
prediction?
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