Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Norman John Mapes"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 17, Iss , Pp 90-100 (2019)
Free radicals that form from reactive species of nitrogen and oxygen can react dangerously with cellular components and are involved with the pathogenesis of diabetes, cancer, Parkinson's, and heart disease. Cysteine amino acids, due to their reactiv
Externí odkaz:
https://doaj.org/article/0d66c73bc70d47afa4cc311be7940f9f
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17:1276-1289
Accurately predicting three dimensional protein structures from sequences would present us with targets for drugs via molecular dynamics that would treat cancer, viral infections, and neurological diseases. These treatments would have a far reaching
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33263ee585b027b090d99085bf617ec8
https://doi.org/10.1109/tcbb.2019.2892441
https://doi.org/10.1109/tcbb.2019.2892441
Publikováno v:
Mol Ther
Cancer is a disease caused by loss of regulatory processes that control the cell cycle, resulting in increased proliferation. The loss of control can deregulate both tumor suppressors and oncogenes. Apart from cell intrinsic gene mutations and enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2c8e7ee95b8b548be91d24262b1899c
https://pubmed.ncbi.nlm.nih.gov/35143960
https://pubmed.ncbi.nlm.nih.gov/35143960
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 17, Iss, Pp 90-100 (2019)
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal
Free radicals that form from reactive species of nitrogen and oxygen can react dangerously with cellular components and are involved with the pathogenesis of diabetes, cancer, Parkinson's, and heart disease. Cysteine amino acids, due to their reactiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32ec43b029680cd1a23ab3b95c2b749f
http://www.sciencedirect.com/science/article/pii/S200103701830134X
http://www.sciencedirect.com/science/article/pii/S200103701830134X
Publikováno v:
Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda.
On the NLP4IF 2019 sentence level propaganda classification task, we used a BERT language model that was pre-trained on Wikipedia and BookCorpus as team ltuorp ranking #1 of 26. It uses deep learning in the form of an attention transformer. We substi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::394ebb5db91c22d53cc1d0d8e55dfbef
https://doi.org/10.18653/v1/d19-5014
https://doi.org/10.18653/v1/d19-5014