Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Michael Hsing"'
Autor:
Kevin J. Tam, Liangliang Liu, Michael Hsing, Kush Dalal, Daksh Thaper, Brian McConeghy, Parvin Yenki, Satyam Bhasin, James W. Peacock, Yuzhuo Wang, Artem Cherkasov, Paul S. Rennie, Martin E. Gleave, Christopher J. Ong
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract FOXA1 is a pioneer transcription factor that is frequently mutated in prostate, breast, bladder, and salivary gland malignancies. Indeed, metastatic castration-resistant prostate cancer (mCRPC) commonly harbour FOXA1 mutations with a prevale
Externí odkaz:
https://doaj.org/article/04472dd65cc24c0c8a00dc7c0f4fd55c
Autor:
Francesco Gentile, Vibudh Agrawal, Michael Hsing, Anh-Tien Ton, Fuqiang Ban, Ulf Norinder, Martin E. Gleave, Artem Cherkasov
Publikováno v:
ACS Central Science, Vol 6, Iss 6, Pp 939-949 (2020)
Externí odkaz:
https://doaj.org/article/03c7527ee20e46a48e7996f887fbe9be
Publikováno v:
Pharmaceuticals, Vol 14, Iss 10, p 948 (2021)
Aging is considered an inevitable process that causes deleterious effects in the functioning and appearance of cells, tissues, and organs. Recent emergence of large-scale gene expression datasets and significant advances in machine learning technique
Externí odkaz:
https://doaj.org/article/e069f2e5445c4c4fa3f11805ea87b1d3
Publikováno v:
Drug Discovery Today. 26:2660-2679
Transcription factors (TFs) act as major oncodrivers in many cancers and are frequently regarded as high-value therapeutic targets. The functionality of TFs relies on direct protein-DNA interactions, which are notoriously difficult to target with sma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db8f9e915881ba0c75eda0284323e403
https://doi.org/10.1016/j.drudis.2021.07.018
https://doi.org/10.1016/j.drudis.2021.07.018
Publikováno v:
Molecules, Vol 24, Iss 19, p 3459 (2019)
Cutaneous T-cell lymphomas (CTCL) are the most common primary lymphomas of the skin. We have previously identified thymocyte selection-associated high mobility group (HMG) box protein (TOX) as a promising drug target in CTCL; however, there are curre
Externí odkaz:
https://doaj.org/article/44cf86411eeb46499f9abfd6fe1ae50c
Autor:
Godwin Woo, Michael Hsing, Ayse Derya Cavga, Artem Cherkasov, Michael Fernandez, Nathan A. Lack
Publikováno v:
Bioinformatics. 36:813-818
Motivation Recent advances in the areas of bioinformatics and chemogenomics are poised to accelerate the discovery of small molecule regulators of cell development. Combining large genomics and molecular data sources with powerful deep learning techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d290fb26dd174d9f1cf2587e5ffd7b8c
https://doi.org/10.1093/bioinformatics/btz645
https://doi.org/10.1093/bioinformatics/btz645
Autor:
Vibudh Agrawal, Fuqiang Ban, Anh-Tien Ton, Michael Hsing, Ulf Norinder, Francesco Gentile, Martin E. Gleave, Artem Cherkasov
Publikováno v:
ACS Central Science
ACS Central Science, Vol 6, Iss 6, Pp 939-949 (2020)
ACS Central Science, Vol 6, Iss 6, Pp 939-949 (2020)
Drug discovery is a rigorous process that requires billion dollars of investments and decades of research to bring a molecule “from bench to a bedside”. While virtual docking can significantly accelerate the process of drug discovery, it ultimate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3b8f8756ed307168848639923a67358
https://pubmed.ncbi.nlm.nih.gov/32607441
https://pubmed.ncbi.nlm.nih.gov/32607441
Publikováno v:
Molecular Informatics
The recently emerged 2019 Novel Coronavirus (SARS-CoV-2) and associated COVID-19 disease cause serious or even fatal respiratory tract infection and yet no FDA-approved therapeutics or effective treatment is currently available to effectively combat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37c95d4e194c13b295b9880614184763
https://doi.org/10.26434/chemrxiv.11860077
https://doi.org/10.26434/chemrxiv.11860077
Autor:
Paul S. Rennie, Takeshi Yamazaki, Fuqiang Ban, Michael Fernandez, Michael Hsing, Eric Leblanc, Artem Cherkasov, Godwin Woo, William J. Welch
Publikováno v:
Journal of Chemical Information and Modeling. 58:1533-1543
The majority of computational methods for predicting toxicity of chemicals are typically based on "nonmechanistic" cheminformatics solutions, relying on an arsenal of QSAR descriptors, often vaguely associated with chemical structures, and typically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66511e17e7f2b8efcf1d63a020f4b6c5
https://doi.org/10.1021/acs.jcim.8b00338
https://doi.org/10.1021/acs.jcim.8b00338
Autor:
Peter Axerio-Cilies, Paul S. Rennie, Takeshi Yamazaki, Ari Kim, Miriam S. Butler, Sam Lawn, Michael E. Cox, Yubin Guo, Fariba Ghaidi, Scott Lien, Mannan Nouri, Marta Mroczek, Lawrence P. McIntosh, Cheryl Y. Gregory-Evans, Artem Cherkasov, Martin E. Gleave, Kush Dalal, Mani Roshan-Moniri, Desmond K. W. Lau, Paul M. Yen, Michael Hsing, Clement Yau
Publikováno v:
Oncotarget
// Miriam S. Butler 1, *, # , Mani Roshan-Moniri 1, *, # , Michael Hsing 1, *, # , Desmond Lau 2, *, # , Ari Kim 1 , Paul Yen 1 , Marta Mroczek 1 , Mannan Nouri 1 , Scott Lien 1 , Peter Axerio-Cilies 1 , Kush Dalal 1 , Clement Yau 1 , Fariba Ghaidi 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16c1afad7acff7c115719c3c6e99761b
https://doi.org/10.18632/oncotarget.17124
https://doi.org/10.18632/oncotarget.17124