Team List
Handles creating, reading and updating teams.
GET /api/team/?format=api&offset=20&ordering=address
{ "count": 45, "next": "https://catalogue.france-bioinformatique.fr/api/team/?format=api&limit=20&offset=40&ordering=address", "previous": "https://catalogue.france-bioinformatique.fr/api/team/?format=api&limit=20&ordering=address", "results": [ { "id": 21, "name": "PRABI-Lyon-Gerland", "logo_url": null, "description": "Le PRABI-Gerland https://prabi.ibcp.fr localisé à l'IBCP développe les bases de données dans le domaine infectieux, les méthodes de prédiction et d'optimisation des structures 3D de protéines ainsi que les outils et services s'y rapportant. Dans le domaine des services la spécificité de la PF est la bioinformatique structurale (Modélisation moléculaire, prédiction de structure) introduite sur Lyon dès 1986 (il y a 25 ans avant même que le mot n'existe...). Dans ce domaine, l’activité proposée par le PRABI-Gerland s’appuie sur les expertises suivantes:\r\n Prédiction de structure de protéines [G. Deléage]\r\n Modélisation moléculaire [E. Bettler, G. Deléage, R. Terreux]\r\n Intégration de méthodes et serveurs Web [C. Combet, G Deléage]\r\n Serveur Web 3D [E. Bettler, G. Deléage]\r\n Drug design et QSAR (R. Terreux, J.A. Chemelle)\r\n \r\nMots clefs: Bioinformatique structurale, Prédiction de structure, Base de données structurales, Analyse de séquences, Modélisation moléculaire, docking moléculaire.\r\n \r\nPrincipaux sites web: https://prabi.ibcp.fr (site en cours de refonte)\r\n https://geno3d-prabi.ibcp.fr/\r\n https://npsa-prabi.ibcp.fr/\r\n http://sumo-pbil.ibcp.fr\r\n http://espript.ibcp.fr\r\n http://endscript.ibcp.fr\r\nMéthodes de prédiction des structures secondaires de protéines.\r\nPlusieurs méthodes originales ont été développées, Self Optimized Prediction Method (SOPM), génère automatiquement à partir de cette base de donnée, une \"sous-base\" rassemblant les 60 à 80 protéines les plus homologues ou appartenant à la même classe structurale que la protéine\r\nétudiée. En effet, des protéines homologues ont généralement une structure assez proche (30% d'identité indique une architecture semblable). Après une phase d'apprentissage automatique sur cette \"sous-base\", en particulier d'optimisation des paramètres, la prédiction de la structure de la protéine est réalisée. La version SOPMA tire bénéfice des alignements multiples. La méthode MLRC combine les réseaux de neurones avec la méthode SOPMA.\r\n [SOPMA] Self optimised Prediction Method (1995)\r\n [SOPM] Self optimised Prediction Method (1994)\r\n [DPM] Double prediction Method (1987)\r\n [MLRC] Multivariate Linear Regression Combination (1999)\r\n [AMPHIPASEEK] Prediction of membrane anchor helical peptides (2006)\r\n \r\nIntégration de methodes- WebicielsServeur NPS@\r\nLe PRABI Gerland a développé le premier serveur de mail Français pour la prédiction de structures secondaires de protéines (80 000 prédictions en tout). Ensuite ces méthodes ont été intégrées dans [NPS@ 2000]. Le serveur est actuellement dans sa version 3. Dans le cadre de RENABI-IFB, ce serveur généraliste de séquences couplé aux prédictions de structures sera mis à jour en termes d’ergonomie, d’interface et de conception. Mise à disposition d’outils et de services en ligne correspondant aux domaines d’expertise du laboratoire d’accueil de la PF.\r\n \r\nServeur Web ESPript/ENDscript\r\nA partir d’une protéine de structure connue (code ou fichier PDB), le serveur ENDscript produit, en quelques secondes et de manière automatisée, plusieurs illustrations téléchargeables dans des formats usuels (PostScript, PDF, PNG et TIFF) :\r\n1/ Une première figure, générée par le logiciel ESPript, présente la séquence de la protéine d’intérêt agrémentée de ses éléments de structure secondaire, de l’accessibilité au solvant et de l’hydropathie par résidu. Si disponibles, sont aussi représentés les contacts cristallographiques et non-cristallographiques protéine/protéine et/ou protéine/ligand ainsi que les résidus impliqués dans des ponts disulfures.\r\n2/ Une seconde figure ESPript montre, en plus des informations précédentes, un alignement multiple de séquences des protéines homologues coloré en fonction de la conservation des résidus et agrémenté des éléments de structure secondaire de ces dernières si leurs structures sont connues. \r\n3/ Deux représentations 3D interactives visualisables par le logiciel PyMOL : a) une représentation en ruban, colorée en fonction de la conservation de séquence. b) une représentation en tube dont le diamètre est proportionnel à la déviation structurale (rmsd) entre la protéine d’intérêt et les protéines homologues de structure connue. De plus, si disponible, peuvent être affichés : l’assemblage de l’unité biologique, les modèles RMN multiples, les ligands et les résidus en contact avec ces derniers.\r\nLe serveur ESPript permet, en complément d’ENDscript ou de manière autonome, de représenter des alignements multiples de séquences avec la possibilité d’ajouter des marqueurs définis par l’utilisateur de manière à produire des figures facilitant l’analyse ou dédiées aux communications scientifiques.\r\n \r\nModélisation moléculaire\r\nUn serveur Web de modélisation moléculaire automatique de structure 3D de protéines appelé geno3D est disponible depsuis 2002 qui permet aux biologistes et biochimistes d'obtenir un modèle 3D de qualité si la séquence \"query\" présente plus de 35% d'identité avec une protéine de structure 3D connue. Le principe de cette modélisation consiste à appliquer les techniques de modélisation sous contraintes à la protéine à modéliser (de type RMN) à partir d'un jeu de contraintes calculées sur l'empreinte structurale. Plusieurs empreintes sont utilisables, le ligand (si présent) est replacé dans les modèles, 10 modèles sont générés. Les résultats sont proposés sous la forme d’une archive récupérable et les résultats sont conservés 8 jours sur le serveur. Ce serveur génère 100 modèles/mois. Un système intégré de modélisation moléculaire (MAGOS ) à grande échelle de protéomes entiers a été utilisé pour des protéomes de virus (modeome3D) et de plantes (arabidome3D).\r\n \r\nDocking et sites 3D- chemo-informatique\r\nUne méthode bioinformatique SUMO a été développée permettant de détecter des sites 3D fonctionnels communs à plusieurs protéines. L’approche a fait l’objet d’un brevet déposé par le CNRS et d'un serveur Web pour rendre utilisable la méthode par la communauté académique.\r\nDans un travail récent, nous avons réévalué les paramètres et avons montré que la qualité de comparaison était améliorée tout comme la rapidité du calcul. Cette méthode a été appliquée pour établir une classification des antibiotiques à noyau ß lactame.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "https://prabi.ibcp.fr", "unitId": "", "address": "7 Passage du Vercors\r\n69367 Lyon\r\nFrance", "city": "Lyon", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" } ], "publications": [ "" ], "certifications": [ "Label IBiSA", "RIO" ], "fundedBy": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" } ], "keywords": [], "fields": [ "Biologie", "Biomédical", "Biotechnologie" ], "orgid": null, "tools": [], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/52/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/169/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/169/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/593/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/52/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/113/?format=api" ], "maintainers": [], "ifbMembership": "None", "platforms": [], "is_active": false, "closing_date": "2023-03-15", "lat": "45.727764", "lng": "4.825956", "updated_at": "2025-10-21T13:07:13.009659Z" }, { "id": 7, "name": "ATGC", "logo_url": "https://www.lirmm.fr/wp-content/uploads/sites/3/2025/11/ATGClogo_LIRMM-300x105-1.jpg", "description": "The bioinformatics platform ATGC is supported by a research team from LIRMM. It has the triple vocation of disseminating the bioinformatics tools developed within the Montpellier community, of encouraging collaborations between computer scientists and biologists, and of providing assistance to these researchers by setting up bioinformatics services directly related to their work. The tools it offers are accessible online free of charge. They can be downloaded and/or run on Cluster IO from Montpellier Mésocentre (ISDM). A major axis of the platform concerns evolutionary studies.", "expertise": [ "http://edamontology.org/topic_3372" ], "expertise_description": "The ATGC platform aims to braodcast the software systems developed by MAB Team from LIRMM.\r\nThe MAB team (Methods and Algorithms for Bioinformatics) proposes mathematical and algorithmic methods (text and tree algorithms, combinatorial algorithms and optimization, probabilistic modeling, statistical machine learning) to address biological issues such as evolution, phylogeny, comparative genomics", "linkCovid19": "", "homepage": "http://www.atgc-montpellier.fr/", "unitId": "UMR5506", "address": "860 rue Saint Priest", "city": "Montpellier", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 73, "name": "LIRMM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/LIRMM/?format=api" } ], "publications": [ "10.1007/978-3-642-00982-2_60", "10.1186/1471-2105-9-166", "10.1093/sysbio/syq002", "10.1093/oxfordjournals.molbev.a025808", "10.1080/10635150390235520", "10.1093/nar/gki352", "10.1093/bioinformatics/bti713", "10.1080/10635150600755453", "10.1080/10635150701639754", "10.1093/molbev/msn067", "10.1098/rstb.2008.0180", "10.1186/1471-2105-9-413", "10.1080/10635150600969872", "", "10.1093/sysbio/syq010", "10.1093/nar/gkn180" ], "certifications": [ "Label IBiSA" ], "fundedBy": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" }, { "id": 99, "name": "University of Montpellier", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20of%20Montpellier/?format=api" } ], "keywords": [ "Phylogeny", "Evolution and Phylogeny", "Text mining", "Structural genomics" ], "fields": [ "Biologie", "Biomédical", "Agro-alimentaire", "Environnement", "Biotechnologie" ], "orgid": null, "tools": [ "bionj", "compphy", "crac", "fastme", "lordec", "mpscan", "phylogeny.fr", "phyml" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/528/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/282/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/830/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/528/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/443/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/50/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/76/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/108/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/118/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/282/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/411/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/480/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/585/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/443/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/830/?format=api" ], "ifbMembership": "Member platform", "platforms": [], "is_active": true, "closing_date": null, "lat": "43.636878", "lng": "3.841811", "updated_at": "2025-11-27T13:24:55.215918Z" }, { "id": 27, "name": "Orphanet", "logo_url": "https://www.orpha.net/build/images/logo-orphanet.png", "description": "Orphanet est une base de connaissances sur les maladies rares et les médicaments orphelins. Elle vise à répertorier et à générer des données sur les maladies rares afin d'améliorer le diagnostic, les soins et le traitement des patients. Le site web Orphanet vise à fournir des informations de qualité sur les maladies rares et à garantir l'égalité d'accès à la base de connaissances pour les chercheurs et dans l'ontologie des maladies rares d'Orphanet. Orphanet tient également à jour la nomenclature des maladies rares d'Orphanet (numéro ORPHA), essentielle pour améliorer la visibilité des maladies rares dans les systèmes d'information sur la santé et la recherche, en agissant comme vecteur d'interopérabilité.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "http://www.orpha.net", "unitId": "", "address": "96 rue Didot", "city": "Paris", "country": "France", "communities": [], "projects": [], "affiliatedWith": [ { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" } ], "publications": [ "" ], "certifications": [ "HON Code", "IRDiRC Recommended", "Autre" ], "fundedBy": [ { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" } ], "keywords": [], "fields": [ "Biomédical" ], "orgid": null, "tools": [ "ordo" ], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/518/?format=api" ], "technicalLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/292/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/474/?format=api" ], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/188/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/171/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/292/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/22/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/223/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/227/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/274/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/402/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/463/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/538/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/551/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/567/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/627/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/257/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/451/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/532/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/292/?format=api" ], "ifbMembership": "Associated Team", "platforms": [], "is_active": true, "closing_date": null, "lat": "48.827419", "lng": "2.314518", "updated_at": "2025-10-21T13:07:13.108661Z" }, { "id": 42, "name": "BONSAI", "logo_url": "https://www.cristal.univ-lille.fr/bonsai/img/bonsai-rond.jpg", "description": "The team Bonsai has been re-created on January 1, 2011, and is an evolution of the INRIA-LIFL team Sequoia, which was created in 2007. The scientific focus of Bonsai is still very much the same as the one of Sequoia. We work in computational biology, and more specifically o n algorithms for biological sequences analysis. Several topics of Bonsai were already present in Sequoia: Noncoding RNA analysis and non ribosomal peptide synthesis. We also work on further lines of research: Algorithms for Next Generation Sequencing and comparison of sequences at genome scale taking into account rearrangements. These lines of research find their source in the development of new sequencing technologies and the increasing availability of complete genome sequence data. They are supported by strategical collaborations, and they also reinforce the expertise of the team in sequence analysis and genome annotation. The main goal of Bonsai is to define appropriate combinatorial models and efficient algorithms for large-scale sequence analysis in molecular biology.", "expertise": [], "expertise_description": "", "linkCovid19": "", "homepage": "https://radar.inria.fr/report/2011/bonsai/uid0.html", "unitId": "", "address": "Avenue Henri Poincaré 59655 Villeneuve d'Ascq France", "city": "Villeneuve d'Ascq", "country": "France", "communities": [], "projects": [], "affiliatedWith": [], "publications": [ "" ], "certifications": [], "fundedBy": [], "keywords": [], "fields": [], "orgid": null, "tools": [], "services": [], "leaders": [], "deputies": [], "scientificLeaders": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/610/?format=api" ], "technicalLeaders": [], "members": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/610/?format=api" ], "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/610/?format=api" ], "ifbMembership": "Associated Team", "platforms": [], "is_active": true, "closing_date": null, "lat": "50.606180", "lng": "3.138530", "updated_at": "2025-10-21T13:07:13.081697Z" }, { "id": 3, "name": "Bilille", "logo_url": "https://bilille.univ-lille.fr/fileadmin/_processed_/9/2/csm_logo_bilille_complet_65be9bda8b.png", "description": "Bilille is the Lille bioinformatics and biostatistics platform within the UAR 2014 - US 41 “Plateformes Lilloises en Biologie et Santé”.\r\nBilille is a full member of the French Institute of Bioinformatics and an associated platfom of France Genomique. Bilille is also labelled by the GIS IBiSA.\r\nThe platform's interdisciplinary and diverse expertise in analysing data from the fields of biological, environmental and health research enables it to offer a wide range of services, from consulting to data analysis and/or software development for research projects.\r\nBilille also offers training courses for students, academic and industrial engineers, and researchers, and provides dedicated access to several computing infrastructures in the form of cloud and cluster resources.", "expertise": [ "http://edamontology.org/topic_3316", "http://edamontology.org/topic_3474", "http://edamontology.org/topic_3173", "http://edamontology.org/topic_3577", "http://edamontology.org/topic_1317", "http://edamontology.org/topic_3391", "http://edamontology.org/topic_3673", "http://edamontology.org/topic_3517", "http://edamontology.org/topic_0769", "http://edamontology.org/topic_3050", "http://edamontology.org/topic_3360", "http://edamontology.org/topic_3382", "http://edamontology.org/topic_3941", "http://edamontology.org/topic_0121", "http://edamontology.org/topic_0160", "http://edamontology.org/topic_0749", "http://edamontology.org/topic_3174", "http://edamontology.org/topic_3125", "http://edamontology.org/topic_3308", "http://edamontology.org/topic_3170", "http://edamontology.org/topic_3169", "http://edamontology.org/topic_0622", "http://edamontology.org/topic_3293", "http://edamontology.org/topic_2269", "http://edamontology.org/topic_0080", "http://edamontology.org/topic_0199", "http://edamontology.org/topic_0091", "http://edamontology.org/topic_3172" ], "expertise_description": "Bilille's scientific scope includes in particular: omics data analysis, sequence annotation, phylogeny, systems biology, structural bioinformatics, integrative biology, high content screening data analysis and image data analysis.\r\nExpertise in bioinformatics and biostatistics enables us to handle a variety of projects, from software development to the application of advanced statistical models.", "linkCovid19": "", "homepage": "https://bilille.univ-lille.fr", "unitId": "UAR 2014 - 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