Explore the words cloud of the PEPTICAPS project. It provides you a very rough idea of what is the project "PEPTICAPS" about.
The following table provides information about the project.
|Coordinator Country||Spain [ES]|
|Total cost||3˙852˙293 €|
|EC max contribution||3˙852˙293 € (100%)|
1. H2020-EU.220.127.116.11. (Ensuring the safe and sustainable development and application of nanotechnologies)
2. H2020-EU.18.104.22.168. (Developing and standardisation of capacity-enhancing techniques, measuring methods and equipment)
3. H2020-EU.22.214.171.124. (Developing the societal dimension of nanotechnology)
|Duration (year-month-day)||from 2015-10-05 to 2018-10-04|
Take a look of project's partnership.
|1||FUNDACION CIDETEC||ES (SAN SEBASTIAN)||coordinator||895˙000.00|
|2||POLYPEPTIDE THERAPEUTIC SOLUTIONS SOCIEDAD LIMITADA||ES (VALENCIA)||participant||482˙875.00|
|3||UNIVERSIDAD DEL PAIS VASCO/ EUSKAL HERRIKO UNIBERTSITATEA||ES (LEIOA)||participant||460˙656.00|
|4||ISTITUTO DI RICERCHE FARMACOLOGICHE MARIO NEGRI||IT (MILANO)||participant||435˙500.00|
|5||UNIVERSITE LYON 1 CLAUDE BERNARD||FR (VILLEURBANNE CEDEX)||participant||419˙093.00|
|6||UNIVERSITE DE BORDEAUX||FR (BORDEAUX)||participant||417˙278.00|
|7||AHAVA DEAD SEA LABORATORIES LTD||IL (AIRPORT CITY)||participant||371˙522.00|
|8||SPINVERSE OY||FI (ESPOO)||participant||222˙867.00|
|9||ANGEL CONSULTING SAS DI MATTEO ZANOTTI RUSSO & C||IT (MILANO)||participant||147˙500.00|
PeptiCaps aims at producing and validating a new family of stimuli-responsive nanocapsules able to encapsulate efficiently and protect specific active ingredients for skin care application. Those nanocapsules will be assembled by nanoemulsion technique using amphiphilic and biocompatible polypeptides diblock copolymers with one hydrophilic poly(ethylene glycol) block and one hydrophobic polypeptide block. Adjustment of the length of each block to finely tune the hydrophilic/Lipophilic balance of the macroemulsifier will allow the encapsulation of either hydrophobic or hydrophilic active ingredients. In addition, polypeptides block will be specifically designed to respond to changes in pH and the presence of enzyme occurring for the skin conditions targeted to allow a triggered release of the active ingredient. After scaling-up selected macroemulsifiers under GMP-like process, two manufacturing processes will be used for the production of the nanocapsules, i.e. high-pressure homogenizer and tubular flow contactor. The most promising process will be selected to produce selected nanocapsules. Physico-chemical properties and (eco)toxicity of the nanocapsules will be extensively characterised using techniques and protocols recommended by the EU Cosmetic regulation to establish their risk and safety assessment. The advantages of safe nanocapsules from PeptiCaps will be demonstrated on validated relevant skin models for each application. All results obtained will be gathered to constitute a Dossier for the validation of the nanocapsules as cosmetic product by the authorities. In addition, PeptiCaps will actively participate to the standardization for nano-safety by developing software to predict the toxicity of nanomaterials (CORAL). Finally, a business plan will be elaborated for the commercialization of PeptiCaps nanocapsules for all cosmetic applications as well as other markets (dermatology and food) to ensure full exploitation of the PeptiCaps technology.
|Visual identity, including Brochure, presentation, poster, leaflet||Websites, patent fillings, videos etc.||2019-05-30 13:56:47|
|Project website||Websites, patent fillings, videos etc.||2019-05-30 13:56:57|
|Master document with all data required for nanomaterials for product registration and validation||Documents, reports||2019-05-30 13:56:46|
|Dissemination strategy||Documents, reports||2019-05-30 13:56:51|
|Report on pre-normative solution for standardization of identified gaps||Documents, reports||2019-05-07 20:23:42|
|New CORAL models available on the CORAL website||Websites, patent fillings, videos etc.||2019-05-07 20:23:42|
|Open access summary report||Documents, reports||2019-05-07 20:23:42|
Take a look to the deliverables list in detail: detailed list of PEPTICAPS deliverables.
|year||authors and title||journal||last update|
Alla P. Toropova, Andrey A. Toropov, Marten Beeg, Marco Gobbi, Mario Salmona
Utilization of the Monte Carlo Method to Build up QSAR Models for Hemolysis and Cytotoxicity of Antimicrobial Peptides
published pages: , ISSN: 1570-1638, DOI: 10.2174/1570163814666170525114128
|Current Drug Discovery Technologies 14/4||2019-05-14|
A. A. Toropov, A. P. Toropova, S. Begum, P. G. R. Achary
Towards predicting the solubility of CO 2 and N 2 in different polymers using a quasi-SMILES based QSPR approach
published pages: 293-301, ISSN: 1062-936X, DOI: 10.1080/1062936X.2016.1172666
|SAR and QSAR in Environmental Research 27/4||2019-05-14|
Mariya A. Toropova, Ivan Raska Jr, Alla P. Toporova, Maria Raskova
CORAL Software: Analysis of Impacts of Pharmaceutical Agents Upon Metabolism via the Optimal Descriptors
published pages: , ISSN: 1389-2002, DOI: 10.2174/1389200218666170301105916
|Current Drug Metabolism 18/6||2019-05-07|
OcÃ©ane Alliod, Jean-Pierre Valour, SÃ©bastien Urbaniak, Hatem Fessi, Damien Dupin, Catherine Charcosset
Preparation of oil-in-water nanoemulsions at large-scale using premix membrane emulsification and Shirasu Porous Glass (SPG) membranes
published pages: 76-84, ISSN: 0927-7757, DOI: 10.1016/j.colsurfa.2018.04.045
|Colloids and Surfaces A: Physicochemical and Engineering Aspects 557||2019-05-07|
Alla P. Toropova, P. Ganga Raju Achary, Andrey A. Toropov
Quasi-SMILES for Nano-QSAR Prediction of Toxic Effect of Al2O3 Nanoparticles
published pages: 17-28, ISSN: 2379-7452, DOI: 10.4018/JNN.2016010102
|Journal of Nanotoxicology and Nanomedicine 1 10||2019-05-07|
Marco Gobbi, Marten Beeg, Mariya A. Toropova, Andrey A. Toropov, Mario Salmona
Monte Carlo method for predicting of cardiac toxicity: hERG blocker compounds
published pages: 42-46, ISSN: 0378-4274, DOI: 10.1016/j.toxlet.2016.04.010
|Toxicology Letters 250-251||2019-05-07|
Andrey A. Toropov, Alla P. Toropova, Luigi Cappellini, Emilio Benfenati, Enrico Davoli
Odor threshold prediction by means of the Monte Carlo method
published pages: 390-394, ISSN: 0147-6513, DOI: 10.1016/j.ecoenv.2016.07.039
|Ecotoxicology and Environmental Safety 133||2019-05-07|
Mariya A. Toropova, Ivan RaÅ ka, Andrey A. Toropov, MÃ¡ria RaÅ kovÃ¡
The Utilization of the Monte Carlo Technique for Rational Drug Discovery
published pages: 676-687, ISSN: 1386-2073, DOI: 10.2174/1386207319666160725145852
|Combinatorial Chemistry & High Throughput Screening 19/8||2019-05-07|
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