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5901459023 of 78723 results
59014.
* Secondary structure is predicted at an expected average accuracy > 72% for
the three states helix, strand and loop.
Description
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* La structure secondaire est prédite avec une précision moyenne attendue > 72%
pour les trois états hélice, fil et boucle.
Translated by Sylvie Gallet
Reviewed by gisele perreault
Located in Package: profphd
59015.
* Solvent accessibility is predicted at a correlation coefficient
(correlation between experimentally observed and predicted relative
solvent accessibility) of 0.54
Description
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* L'accessibilité au solvant est prédite avec un coefficient de corrélation
(corrélation entre l'accessibilité au solvant relative observée
expérimentalement et prédite) de 0,54
Translated by Sylvie Gallet
Reviewed by gisele perreault
Located in Package: profphd
59016.
* Transmembrane helix prediction has an expected per-residue accuracy of
about 95%. The number of false positives, i.e., transmembrane helices
predicted in globular proteins, is about 2%.
Description
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* La prédiction d'hélice transmembranaire a une précision par-résidu attendue
d'environ 95%. Le nombre de faux positifs, c.-à-d. d'hélices transmembranaires
prédites dans des protéines globulaires, est d'environ 2%.
Translated by Sylvie Gallet
Reviewed by gisele perreault
Located in Package: profphd
59017.
neural network architecture for profphd
Summary
architecture de réseaux de neurones pour le paquet profphd
Translated by Łukasz Zemczak
Located in Package: profphd-net
59018.
Profnet is a component of the prediction methods that make up the Predict Protein service by the lab of Burkhard Rost. It provides the neural network component to a variety of predictors that perform protein feature prediction directly from sequence. This neural network implementation has to be compiled for every different network architecture. This package contains the neural network architecture for profphd.
Summary
ProfNet est un composant des méthodes de prédiction qui constituent le service Predict Protein par le laboratoire de Burkhard Rost. Il fournit le composant de réseau neuronal à plusieurs variables prédictives qui effectuent des prédictions caractéristiques des protéines directement depuis la séquence. Cette mise en œuvre de réseau neuronal doit être compilée pour chacune des différentes architectures de réseau. Ce paquet contient l'architecture du réseau neuronal pour profphd.
Translated by Sylvie Gallet
Reviewed by gisele perreault
Located in Package: profphd-net
59019.
profphd helper utilities convert_seq and filter_hssp
Summary
utilitaires d'assistance de profphd, convert_seq et filter_hssp
Translated by Sylvie Gallet
Reviewed by gisele perreault
Located in Package: profphd-utils
59020.
The package provides the following binary utilities: convert_seq, filter_hssp. These are used by prof from the profphd package: a secondary structure, accessibility and transmembrane helix predictor from Burkhard Rost.
Description
Le paquet fournit les utilitaires binaires suivants[nbsp]: convert_seq, filter_hssp. Ils sont utilisés par prof du paquet profphd[nbsp]: un prédicteur de structure secondaire, d'accessibilité et d'hélice transmembranaire de Burkhard Rost.
Translated by Sylvie Gallet
Reviewed by gisele perreault
Located in Package: profphd-utils
59021.
per-residue prediction of bacterial transmembrane beta barrels
Summary
prédiction par-résidu de barils bêta transmembranaires bactériens
Translated and reviewed by gisele perreault
Located in Package: proftmb
59022.
For each query protein, proftmb provides both a Z-value indicating that the protein actually contains a membrane barrel, and a four-state per-residue labeling of upward- and downward-facing strands, periplasmic hairpins and extracellular loops.
Description
(no translation yet)
Located in Package: proftmb
59023.
debugging symbols for proftmb
Summary
Symboles de débogage pour proftmb
Translated by Pierre Slamich
Reviewed by Sylvie Gallet
Located in Package: proftmb-dbg
5901459023 of 78723 results

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