Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jaak Jänes"'
Autor:
Antreas Afantitis, Georgia Melagraki, Panagiotis Isigonis, Andreas Tsoumanis, Dimitra Danai Varsou, Eugenia Valsami-Jones, Anastasios Papadiamantis, Laura-Jayne A. Ellis, Haralambos Sarimveis, Philip Doganis, Pantelis Karatzas, Periklis Tsiros, Irene Liampa, Vladimir Lobaskin, Dario Greco, Angela Serra, Pia Anneli Sofia Kinaret, Laura Aliisa Saarimäki, Roland Grafström, Pekka Kohonen, Penny Nymark, Egon Willighagen, Tomasz Puzyn, Anna Rybinska-Fryca, Alexander Lyubartsev, Keld Alstrup Jensen, Jan Gerit Brandenburg, Stephen Lofts, Claus Svendsen, Samuel Harrison, Dieter Maier, Kaido Tamm, Jaak Jänes, Lauri Sikk, Maria Dusinska, Eleonora Longhin, Elise Rundén-Pran, Espen Mariussen, Naouale El Yamani, Wolfgang Unger, Jörg Radnik, Alexander Tropsha, Yoram Cohen, Jerzy Leszczynski, Christine Ogilvie Hendren, Mark Wiesner, David Winkler, Noriyuki Suzuki, Tae Hyun Yoon, Jang-Sik Choi, Natasha Sanabria, Mary Gulumian, Iseult Lynch
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 583-602 (2020)
Nanotechnology has enabled the discovery of a multitude of novel materials exhibiting unique physicochemical (PChem) properties compared to their bulk analogues. These properties have led to a rapidly increasing range of commercial applications; this
Externí odkaz:
https://doaj.org/article/81b6870ad37945198bc7dfd358f34de2
Autor:
Anastasios G. Papadiamantis, Jaak Jänes, Evangelos Voyiatzis, Lauri Sikk, Jaanus Burk, Peeter Burk, Andreas Tsoumanis, My Kieu Ha, Tae Hyun Yoon, Eugenia Valsami-Jones, Iseult Lynch, Georgia Melagraki, Kaido Tämm, Antreas Afantitis
Publikováno v:
Nanomaterials, Vol 10, Iss 10, p 2017 (2020)
A literature curated dataset containing 24 distinct metal oxide (MexOy) nanoparticles (NPs), including 15 physicochemical, structural and assay-related descriptors, was enriched with 62 atomistic computational descriptors and exploited to produce a r
Externí odkaz:
https://doaj.org/article/876adad0d108441f91a92f6a0ccf0390
Autor:
Mati Karelson, Dimitar Dobchev, Tarmo Tamm, Indrek Tulp, Jaak Jänes, Kaido Tämm, Andre Lomaka, Deniss Savchenko, Gunnar Karelson
Publikováno v:
ARKIVOC, Vol 2008, Iss 16, Pp 38-60 (2008)
Externí odkaz:
https://doaj.org/article/19cf168936fa469d80208a7f0c59284a
Publikováno v:
Journal of Medical Screening. 29:53-60
Objective Organised cervical cancer screening was started in Estonia in 2006, but participation is still low. Human papillomavirus (HPV) self-sampling has proved to increase screening uptake. This study addressed the feasibility of HPV self-sampling
Autor:
Marta, Swirog, Alicja, Mikolajczyk, Karolina, Jagiello, Jaak, Jänes, Kaido, Tämm, Tomasz, Puzyn
Publikováno v:
The Science of the total environment. 840
Natural and engineered nanoparticles (NPs) entering the environment are influenced by many physicochemical processes and show various behavior in different systems (e.g., natural waters showing different characteristics). Determining the physicochemi
Autor:
Susana I L, Gomes, Mónica J B, Amorim, Suman, Pokhrel, Lutz, Mädler, Matteo, Fasano, Eliodoro, Chiavazzo, Pietro, Asinari, Jaak, Jänes, Kaido, Tämm, Jaanus, Burk, Janeck J, Scott-Fordsmand
Publikováno v:
Nanoscale. 13(35)
Assessing the risks of nanomaterials/nanoparticles (NMs/NPs) under various environmental conditions requires a more systematic approach, including the comparison of effects across many NMs with identified different but related characters/descriptors.
Autor:
Suman Pokhrel, Pietro Asinari, Kaido Tämm, Susana I. L. Gomes, Janeck J. Scott-Fordsmand, Jaak Jänes, Matteo Fasano, Jaanus Burk, Lutz Mädler, Mónica J.B. Amorim, Eliodoro Chiavazzo
Publikováno v:
Gomes, S I L, Amorim, M J B, Pokhrel, S, Mädler, L, Fasano, M, Chiavazzo, E, Asinari, P, Jänes, J, Tämm, K, Burk, J & Scott-Fordsmand, J J 2021, ' Machine learning and materials modelling interpretation of : In vivo toxicological response to TiO 2 nanoparticles library (UV and non-UV exposure) ', Nanoscale, vol. 13, no. 35, pp. 14666-14678 . https://doi.org/10.1039/d1nr03231c
Royal Society of Chemistry
Royal Society of Chemistry
Assessing the risks of nanomaterials/nanoparticles (NMs/NPs) under various environmental conditions requires a more systematic approach, including the comparison of effects across many NMs with identified different but related characters/descriptors.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3dc5625801ee42fde2f4dcfcb3cd5e6
https://pure.au.dk/portal/da/publications/machine-learning-and-materials-modelling-interpretation-of(b5451a5a-a9d6-4dc0-a354-104a4c9559b7).html
https://pure.au.dk/portal/da/publications/machine-learning-and-materials-modelling-interpretation-of(b5451a5a-a9d6-4dc0-a354-104a4c9559b7).html
Autor:
Tae Hyun Yoon, Lauri Sikk, My Kieu Ha, Iseult Lynch, Anastasios G. Papadiamantis, Antreas Afantitis, Kaido Tämm, Evangelos Voyiatzis, Georgia Melagraki, Andreas Tsoumanis, Jaanus Burk, Peeter Burk, Eugenia Valsami-Jones, Jaak Jänes
Publikováno v:
Nanomaterials
Volume 10
Issue 10
Nanomaterials, Vol 10, Iss 2017, p 2017 (2020)
Volume 10
Issue 10
Nanomaterials, Vol 10, Iss 2017, p 2017 (2020)
A literature curated dataset containing 24 distinct metal oxide (MexOy) nanoparticles (NPs), including 15 physicochemical, structural and assay-related descriptors, was enriched with 62 atomistic computational descriptors and exploited to produce a r
Publikováno v:
International journal of STDAIDS. 29(3)
Men who have sex with men (MSM) face negative health outcomes such as sexually transmitted infections (STIs) at disproportionate rates. Nonetheless, infections may be underestimated due to limited uptake in testing. To increase testing, screening int
Autor:
Deniss Savchenko, Andre Lomaka, Indrek Tulp, Jaak Jänes, Kaido Tämm, Gunnar Karelson, Tarmo Tamm, Dimitar A. Dobchev, Mati Karelson
Publikováno v:
ResearcherID
ARKIVOC, Vol 2008, Iss 16, Pp 38-60 (2008)
ARKIVOC, Vol 2008, Iss 16, Pp 38-60 (2008)
Quantitative Structure-Activity Relationship (QSAR) models were developed for blood-brain barrier and human serum albumin binding for a dataset of drugs where experimental values of both properties were available. All drugs were represented by chemic