These have been proven to successfully outperform current state of the art predictions by 35% in an empirical assessment we conducted over a time frame of 7 months within the inner city of Cologne, Germany.
Despite its simplicity, it is competitive or superior in performance over many aspects when compared with the state-of-the-art predictions performed by supervised or unsupervised approaches.
There are several state-of-the-art prediction servers for predicting DNA bindings based on protein sequences, including DISIS [ 2], DNABindR [ 4], BindN [ 5], BindN-rf [ 6], DP-Bind [ 7] and DBS-PRED [ 8].
We further demonstrate how this finding in a simple way can be applied to significantly improve the predictions of MHC class II ligands by combining predicted surface exposure with state-of-the-art prediction methods for MHC class II binding.
Therefore, we also predicted disorder with two other state-of-the-art prediction methods, namely VSL2 (Obradovic et al., 2005; Peng et al., 2006) and MD (Schlessinger et al., 2009).
Although the current model could be further fine-tuned, our goal here is not to produce a state-of-the-art prediction model, but instead to investigate the limitations and sources of predictability in human mobility.
GalaxySite was extensively tested on different ligand binding prediction test sets, on which it showed superior or similar performance compared to other state of the art prediction methods.
Specifically, IDSSIM runs much faster than the other modern IQA indices which could achieve the state-of-the-art prediction performance.
A companion paper [J. Wind Eng. Ind. Aerodyn. 65 (1996) 189 201] compares the measured responses to analytical predictions using state-of-the-art prediction methods.
Moreover, even state-of-the-art prediction accuracy of 75% retains less than one-third of the structural information encoded in secondary structure.
