Topology prediction for helical transmembrane proteins at 86% accuracy–Topology prediction at 86% accuracy
By Burkhard Rost, Piero Fariselli, Rita Casadio. 1996
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Steven Henikoff
- Burkhard Rost
- Emidio Capriotti
- Pauline Crystal Ng
- Sean R. Eddy
- G. von Heijne
- Jorja G. Henikoff
- Erik L. L. Sonnhammer
Citations in the corpus
- Support vector machine approach for protein subcellular localization prediction (2001, unknown): “No transmembrane proteins were included as they could be quite reliably predicted by some known methods (Rost et al. , 1996; Hirokawa et al. , 1998; Lio and Vannucci, 2000).”
- Prediction of contact maps with neural networks and correlated mutations. (2001, methodology): “It has been previously shown that neural networks are efficient tools in solving several kinds of problems, including predictions of secondary structures (Rost and Sander, 1995; Jones, 1999), transmembrane helices (Rost et al., 1996) and folding initiation sites (Compiani et al., 1998).”
- The PredictProtein server (2003, background): “NORSp Floppy regions J. Liu and B. Rost (19,20) Protein structure PHDsec Secondary structure B. Rost (11,49,50) PHDacc Solvent accessibility B. Rost (11,51) PHDhtm Membrane helices B. Rost (11,52, 53 ) PROFsec Secondary structure B. Rost (12) PROFacc Solvent accessibility B. Rost Unpublished GLOBE G”
- Best α‐helical transmembrane protein topology predictions are achieved using hidden Markov models and evolutionary information (2004, methodology): “1 (Rost et al. 1996) is the single sequence version of PHD, PHD_htm2.”
- Artificial neural networks for computer-based molecular design. (1998, methodology): “An improvement of the method developed by Rost and co-workers (Rost et al., 1995) included the combination of several dierent ®lter systems as well the inclusion of expert knowledge (Rost et al., 1996).”
- Comparing function and structure between entire proteomes (2001, methodology): “We filtered the resulting alignments (Rost 1999) and used them as input forPHDhtm(Rost et al. 1996), using the default threshold of 0.8.”
- PHAT: a transmembrane-specific substitution matrix (2000, methodology): “Block families were submitted to PHDhtm, a prediction program that achieves 86% transmembrane prediction accuracy per residue ( Rost et al., 1996 ).”