Design of polyPEPTIdes diblock copolymers as emulsifiers to produce safe, controlled and reliable novel stimuli-responsive nanoCAPSules for skin care applications

Informacje na temat projektu

PEPTICAPS

Identyfikator umowy o grant: 686141

DOI

10.3030/686141

Projekt został zamknięty

Data podpisania przez KE 29 Września 2015

Data rozpoczęcia 5 Października 2015

Data zakończenia 4 Października 2018

Finansowanie w ramach

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Nanotechnologies

Koszt całkowity

€ 3 852 293,75

Wkład UE

€ 3 852 293,75

Koordynowany przez

FUNDACION CIDETEC
Spain

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Websites, patent fillings, videos etc. (3)

New CORAL models available on the CORAL website

Implementation of the new software to the CORAL website

Project website
Visual identity, including Brochure, presentation, poster, leaflet

Documents, reports (4)

Dissemination strategy
Open access summary report
Master document with all data required for nanomaterials for product registration and validation

Document template with all the requirements to assess the safety of ENM

Report on pre-normative solution for standardization of identified gaps

Report that describes suitable solutions for the standardization of the characterization of smart ENM that will be submitted to ESN to establish new norms and protocols for these new materials

Publikacje

Peer reviewed articles (15)

Monte Carlo-based quantitative structure-activity relationship models for toxicity of organic chemicals to Daphnia magna

Autorzy: Alla P. Toropova, Andrey A. Toropov, Aleksandar M. Veselinović, Jovana B. Veselinović, Danuta Leszczynska, Jerzy Leszczynski
Opublikowane w: Environmental Toxicology and Chemistry, Numer 35/11, 2016, Strona(/y) 2691-2697, ISSN 0730-7268
Wydawca: Society of Environmental Toxicology and Chemistry
DOI: 10.1002/etc.3466

CORAL: Binary classifications (active/inactive) for drug-induced liver injury

Autorzy: Alla P. Toropova, Andrey A. Toropov
Opublikowane w: Toxicology Letters, Numer 268, 2017, Strona(/y) 51-57, ISSN 0378-4274
Wydawca: Elsevier BV
DOI: 10.1016/j.toxlet.2017.01.011

Monte Carlo method for predicting of cardiac toxicity: hERG blocker compounds

Autorzy: Marco Gobbi, Marten Beeg, Mariya A. Toropova, Andrey A. Toropov, Mario Salmona
Opublikowane w: Toxicology Letters, Numer 250-251, 2016, Strona(/y) 42-46, ISSN 0378-4274
Wydawca: Elsevier BV
DOI: 10.1016/j.toxlet.2016.04.010

Preparation of oil-in-water nanoemulsions at large-scale using premix membrane emulsification and Shirasu Porous Glass (SPG) membranes

Autorzy: Océane Alliod, Jean-Pierre Valour, Sébastien Urbaniak, Hatem Fessi, Damien Dupin, Catherine Charcosset
Opublikowane w: Colloids and Surfaces A: Physicochemical and Engineering Aspects, Numer 557, 2018, Strona(/y) 76-84, ISSN 0927-7757
Wydawca: Elsevier BV
DOI: 10.1016/j.colsurfa.2018.04.045

Odor threshold prediction by means of the Monte Carlo method

Autorzy: Andrey A. Toropov, Alla P. Toropova, Luigi Cappellini, Emilio Benfenati, Enrico Davoli
Opublikowane w: Ecotoxicology and Environmental Safety, Numer 133, 2016, Strona(/y) 390-394, ISSN 0147-6513
Wydawca: Academic Press
DOI: 10.1016/j.ecoenv.2016.07.039

The Utilization of the Monte Carlo Technique for Rational Drug Discovery

Autorzy: Mariya A. Toropova, Ivan RaŠka, Andrey A. Toropov, Mária RaŠková
Opublikowane w: Combinatorial Chemistry & High Throughput Screening, Numer 19/8, 2016, Strona(/y) 676-687, ISSN 1386-2073
Wydawca: Bentham Science Publishers
DOI: 10.2174/1386207319666160725145852

CORAL Software: Analysis of Impacts of Pharmaceutical Agents Upon Metabolism via the Optimal Descriptors

Autorzy: Mariya A. Toropova, Ivan Raska Jr, Alla P. Toporova, Maria Raskova
Opublikowane w: Current Drug Metabolism, Numer 18/6, 2017, ISSN 1389-2002
Wydawca: Bentham Science Publishers
DOI: 10.2174/1389200218666170301105916

Utilization of the Monte Carlo Method to Build up QSAR Models for Hemolysis and Cytotoxicity of Antimicrobial Peptides

Autorzy: Alla P. Toropova, Andrey A. Toropov, Marten Beeg, Marco Gobbi, Mario Salmona
Opublikowane w: Current Drug Discovery Technologies, Numer 14/4, 2017, ISSN 1570-1638
Wydawca: Bentham Science Publishers
DOI: 10.2174/1570163814666170525114128

Towards predicting the solubility of CO 2 and N 2 in different polymers using a quasi-SMILES based QSPR approach

Autorzy: A. A. Toropov, A. P. Toropova, S. Begum, P. G. R. Achary
Opublikowane w: SAR and QSAR in Environmental Research, Numer 27/4, 2016, Strona(/y) 293-301, ISSN 1062-936X
Wydawca: Taylor & Francis
DOI: 10.1080/1062936X.2016.1172666

Quasi-SMILES and nano-QFPR: The predictive model for zeta potentials of metal oxide nanoparticles

Autorzy: Andrey A. Toropov, P. Ganga Raju Achary, Alla P. Toropova
Opublikowane w: Chemical Physics Letters, Numer 660, 2016, Strona(/y) 107-110, ISSN 0009-2614
Wydawca: Elsevier BV
DOI: 10.1016/j.cplett.2016.08.018

Quasi-SMILES as a tool to utilize eclectic data for predicting the behavior of nanomaterials

Autorzy: Alla P. Toropova, Andrey A. Toropov, Serena Manganelli, Caterina Leone, Diego Baderna, Emilio Benfenati, Roberto Fanelli
Opublikowane w: NanoImpact, Numer 1, 2016, Strona(/y) 60-64, ISSN 2452-0748
Wydawca: Elsevier
DOI: 10.1016/j.impact.2016.04.003

The Monte Carlo technique as a tool to predict LOAEL

Autorzy: Jovana B. Veselinović, Aleksandar M. Veselinović, Alla P. Toropova, Andrey A. Toropov
Opublikowane w: European Journal of Medicinal Chemistry, Numer 116, 2016, Strona(/y) 71-75, ISSN 0223-5234
Wydawca: Elsevier BV
DOI: 10.1016/j.ejmech.2016.03.075

CORAL and Nano-QFAR: Quantitative feature – Activity relationships (QFAR) for bioavailability of nanoparticles (ZnO, CuO, Co 3 O 4 , and TiO 2 )

Autorzy: Alla P. Toropova, Andrey A. Toropov, Danuta Leszczynska, Jerzy Leszczynski
Opublikowane w: Ecotoxicology and Environmental Safety, Numer 139, 2017, Strona(/y) 404-407, ISSN 0147-6513
Wydawca: Academic Press
DOI: 10.1016/j.ecoenv.2017.01.054

Nano-QSAR in cell biology: Model of cell viability as a mathematical function of available eclectic data

Autorzy: Alla P. Toropova, Andrey A. Toropov
Opublikowane w: Journal of Theoretical Biology, Numer 416, 2017, Strona(/y) 113-118, ISSN 0022-5193
Wydawca: Academic Press
DOI: 10.1016/j.jtbi.2017.01.012

A quasi-SMILES based QSPR Approach towards the prediction of adsorption energy of Ziegler − Natta catalysts for propylene polymerization

Autorzy: P. Ganga Raju Achary, Sanija Begum, Alla P. Toropova, Andrey A. Toropov
Opublikowane w: Materials Discovery, Numer 5, 2016, Strona(/y) 22-28, ISSN 2352-9245
Wydawca: Elsevier
DOI: 10.1016/j.md.2016.12.003

Book chapters (2)

Development of Monte Carlo Approaches in Support of Environmental Research

Autorzy: Alla P. Toropova, Andrey A. Toropov, Emilio Benfenati, Robert Rallo, Danuta Leszczynska, Jerzy Leszczynski
Opublikowane w: Advances in QSAR Modeling, Numer 24, 2017, Strona(/y) 453-469, ISBN 978-3-319-56849-2
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-56850-8_12

Quasi-SMILES as a Novel Tool for Prediction of Nanomaterials′ Endpoints

Autorzy: A.P. Toropova, A.A. Toropov, A.M. Veselinović, J.B. Veselinović, D. Leszczynska, J. Leszczynski
Opublikowane w: Multi-Scale Approaches in Drug Discovery, 2017, Strona(/y) 191-221, ISBN 9780-081011294
Wydawca: Elsevier
DOI: 10.1016/B978-0-08-101129-4.00008-4

Non-peer reviewed articles (2)

Quasi-SMILES for Nano-QSAR Prediction of Toxic Effect of Al2O3 Nanoparticles

Autorzy: Alla P. Toropova, P. Ganga Raju Achary, Andrey A. Toropov
Opublikowane w: Journal of Nanotoxicology and Nanomedicine, Numer 1 10.4018/JNN.2016 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/JNN.2016/1, 2016, Strona(/y) 17-28, ISSN 2379-7452
Wydawca: IGI Publishing
DOI: 10.4018/JNN.2016010102

Assessment of nano-QSPR models of organic contaminant absorption by carbon nanotubes for ecological impact studies

Autorzy: Alla P. Toropova, Andrey A. Toropov
Opublikowane w: Materials Discovery, Numer 4, 2016, Strona(/y) 22-28, ISSN 2352-9245
Wydawca: Elsevier
DOI: 10.1016/j.md.2016.03.003