Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mark, Lennox"'
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Understanding the interactions between novel drugs and target proteins is fundamentally important in disease research as discovering drug-protein interactions can be an exceptionally time-consuming and expensive process. Alternatively, this process c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a400d5e6ed55bdc4555fe4cdf564e405
https://pubmed.ncbi.nlm.nih.gov/34892183
https://pubmed.ncbi.nlm.nih.gov/34892183
Publikováno v:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Modern sequencing technology has produced a vast quantity of proteomic data, which has been key to the development of various deep learning models within the field. However, there are still challenges to overcome with regards to modelling the propert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fa1eae0a3b30f76f9949058fa51dd9d
https://doi.org/10.1109/embc46164.2021.9630387
https://doi.org/10.1109/embc46164.2021.9630387
Publikováno v:
Lennox, M, Devereux, B & Robertson, N 2021, Deep Metric Learning for Proteomics . in M A Wani, F Luo, X Li, D Dou & F Bonchi (eds), Proceedings-19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020 ., 9356221, Proceedings-19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Institute of Electrical and Electronics Engineers Inc., pp. 308-313, 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Virtual, Miami, United States, 14/12/2020 . https://doi.org/10.1109/ICMLA51294.2020.00057
ICMLA
ICMLA
Deep learning has become an innovative tool for predicting the properties of a protein. However, obtaining an accurate predictive model using deep learning methods typically requires a large amount of labelled data, which is expensive and time-consum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b4c334fac0d593750ddea9ed7d0f088
https://pure.qub.ac.uk/en/publications/dac86f6c-b754-4226-8c30-4c47b99dc59c
https://pure.qub.ac.uk/en/publications/dac86f6c-b754-4226-8c30-4c47b99dc59c
Publikováno v:
EMBC
Lennox, M, Robertson, N & Devereux, B 2020, Expanding the Vocabulary of a Protein: Application of Subword Algorithms to Protein Sequence Modelling . in 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society: Proceedings . vol. 2020, Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, pp. 2361-2367 . https://doi.org/10.1109/EMBC44109.2020.9176380
Lennox, M, Robertson, N & Devereux, B 2020, Expanding the Vocabulary of a Protein: Application of Subword Algorithms to Protein Sequence Modelling . in 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society: Proceedings . vol. 2020, Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, pp. 2361-2367 . https://doi.org/10.1109/EMBC44109.2020.9176380
Deep learning has proven to be a useful tool for modelling protein properties. However, given the variability in the length of proteins, it can be difficult to summarise the sequence of amino acids effectively. In many cases, as a result of using fix
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ef97026f0f0427f3f50c67e9a071061
https://doi.org/10.1109/embc44109.2020.9176380
https://doi.org/10.1109/embc44109.2020.9176380
Autor:
Katharina Lückerath, Caius G. Radu, Matthias Eiber, Johannes Czernin, Joseph R. Capri, Jeremie Calais, Andreea D. Stuparu, Catherine Meyer, Wolfgang P. Fendler, Kyle Current, Thuc Le, Magnus Dahlbom, Mark Lennox, Christine E. Mona, Roger Slavik, Susan Evans-Axelsson
Publikováno v:
J Nucl Med
Journal of nuclear medicine : official publication, Society of Nuclear Medicine, vol 62, iss 7
Journal of nuclear medicine : official publication, Society of Nuclear Medicine, vol 62, iss 7
Prostate-specific membrane antigen (PSMA)–targeted radioligand therapy (RLT) is effective against prostate cancer (PCa), but all patients relapse eventually. Poor understanding of the underlying resistance mechanisms represents a key barrier to dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c732dd53cedf4646ecb25b1f12eda1a4
https://doi.org/10.2967/jnumed.120.256263
https://doi.org/10.2967/jnumed.120.256263
Autor:
Mark, Lennox
Publikováno v:
Nursing New Zealand (Wellington, N.Z. : 1995). 16(9)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::76f32d42478a9c1222c8ee62d4f7c815
https://pubmed.ncbi.nlm.nih.gov/21141225
https://pubmed.ncbi.nlm.nih.gov/21141225