Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Edgardo A. Ferrán"'
Autor:
Pierre Dieu, Mourad Kaghad, Annette Roasio, Nathalie Hasel, Amélie Aries, Stéphane Yvon, Jan H. Lupker, Fréderique Guette, Constantino Diaz, Pascual Ferrara, Brigitte Miloux, Claude Feuillerat, Edgardo A. Ferrán, Danielle Albène, Christine Labit-Le Bouteiller, Aimée Cambon-Kernëis, Eric Perret, Marie-Françoise Jamme
Publikováno v:
Molecular Informatics. 32:213-229
The DLS-VS strategy was developed as an integrated method for identifying chemical modulators for orphan GPCRs. It combines differential low-throughput screening (DLS) and virtual screening (VS). The two cascaded techniques offer complementary advant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e85cf33c32baaf7a33295d515bf16a6
https://doi.org/10.1002/minf.201200047
https://doi.org/10.1002/minf.201200047
Publikováno v:
Protein Science. 3:507-521
We have recently described a method based on artificial neural networks to cluster protein sequences into families. The network was trained with Kohonen's unsupervised learning algorithm using, as inputs, the matrix patterns derived from the dipeptid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34cd1d28176b201e528a6ba4fe6d56f0
https://doi.org/10.1002/pro.5560030316
https://doi.org/10.1002/pro.5560030316
Autor:
Bernard Pflugfelder, Edgardo A. Ferrán
Publikováno v:
Europe PubMed Central
We have recently proposed a method, based on artificial neural networks (ANNs) to cluster protein sequences into families according to their degree of sequence similarity. The network was trained with an unsupervised learning algorithm, using, as inp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::577537afae3871c678299add36bb6cbe
https://doi.org/10.1093/bioinformatics/9.6.671
https://doi.org/10.1093/bioinformatics/9.6.671
Autor:
Annick Josse, Pascual Ferrara, Patricia Angelloz-Nicoud, Pascal Leplatois, David Shire, Monique Delpech, Edgardo A. Ferrán, Florence Pecceu, Constantino Diaz, Gérard Loison, Marc Pascal, Marinette Lecomte
Publikováno v:
Molecular informatics. 30(4)
We discovered a constitutively activating mutation (CAM) V308E for the neurotensin NT1 receptor. Molecular dynamics (MD) performed for the CAM NT1-V308E exhibiting a high spontaneous activity, and for the wild-type NT1 without basal activity, show dr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae76c7611f070ea22754d66b8dc3cc40
https://pubmed.ncbi.nlm.nih.gov/27466951
https://pubmed.ncbi.nlm.nih.gov/27466951
Autor:
Edgardo A. Ferrán, Pascual Ferrara
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 185:395-401
We use neutral networks to classify proteins according to their sequence similarities. A network composed by 7 × 7 neurons, was trained with the Kohonen unsupervised learning algorithm using, as inputs, matrix patterns derived from the bipeptide com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::405f9b4366b8a4f8da70c228ae85423e
https://doi.org/10.1016/0378-4371(92)90480-e
https://doi.org/10.1016/0378-4371(92)90480-e
Autor:
Pascual Ferrara, Edgardo A. Ferrán
Publikováno v:
International Journal of Neural Systems. :221-226
In a previous work we have described a method, based on Kohonen’s unsupervised-learning algorithm, to cluster a set of known protein sequences into families. We show here some examples of how a network, trained with 1758 human protein sequences, ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e926cad2222ae890a4e5d14c5902aa34
https://doi.org/10.1142/s0129065792000553
https://doi.org/10.1142/s0129065792000553
Publikováno v:
International Journal of Neural Systems. :237-245
A model is proposed in which the synaptic efficacies of a feedforward neural network are adapted with a cost function that vanishes if the boolean function that is represented has the same symmetry properties as the target one. The function chosen ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abc34cec9989dd0ba0a94f5dbf2c0dc5
https://doi.org/10.1142/s0129065790000138
https://doi.org/10.1142/s0129065790000138
Autor:
Pascual Ferrara, Hélian Boucherie, Jean-Claude Guillemot, Edgardo A. Ferrán, Michel Perrot, Joël Capdevielle, Christelle Monribot, Francis Sagliocco
Publikováno v:
Yeast (Chichester, England). 12(15)
In this study we used genetically manipulated strains in order to identify polypeptide spots of the protein map of Saccharomyces cerevisiae. Thirty-two novel polypeptide spots were identified using this strategy. They corresponded to the product of 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37aad5bd671152ab8edd35aa1be68844
https://pubmed.ncbi.nlm.nih.gov/8972575
https://pubmed.ncbi.nlm.nih.gov/8972575
Autor:
Pascual Ferrara, Edgardo A. Ferrán
Publikováno v:
Europe PubMed Central
An artificial neural network was used to cluster proteins into families. The network, composed of 7 x 7 neurons, was trained with the Kohonen unsupervised learning algorithm using, as inputs, matrix patterns derived from the bipeptide composition of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f79253602d58ef887ea6af6149e0c4e8
https://pubmed.ncbi.nlm.nih.gov/1314686
https://pubmed.ncbi.nlm.nih.gov/1314686
Autor:
Edgardo A. Ferrán
We show that Kohonen's ordering theorem for unidimensional self-organizing maps is not valid for discontinuous synaptic changes, as those usually used in computational simulations of Kohonen's algorithm. In fact, alterations in the ordering of the se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbc1fa7b30063fe9237d9f1b2a6f17ce
https://doi.org/10.1016/b978-0-444-89488-5.50151-2
https://doi.org/10.1016/b978-0-444-89488-5.50151-2
