Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Benedict Irwin"'
Autor:
Davy Guan, Alexander Wade, Edwin G Tse, Alice Motion, Willem P. van Hoorn, Jonathan Cardoso-Silva, Adele M. Lehane, Giovanni Cincilla, Mario Öeren, Julia C. R. Lindblom, Mykola Galushka, Murray N. Robertson, Matthew H. Todd, James McCulloch, Slade Matthews, Mark G. Anderson, Benedict Irwin, Thomas M. Whitehead, Paul Willis, Laksh Aithani, Ho Leung Ng, Gareth Conduit, Vasileios A. Tatsis, Vito Spadavecchio, Raymond Lui, Kiaran Kirk, Irene Hallyburton
Publikováno v:
Journal of medicinal chemistry. 64(22)
The discovery of new antimalarial medicines with novel mechanisms of action is key to combating the problem of increasing resistance to our frontline treatments. The Open Source Malaria (OSM) consortium has been developing compounds ("Series 4") that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::226bb29c6cfb2827cc0b24dac6a0807c
https://pubmed.ncbi.nlm.nih.gov/34748707
https://pubmed.ncbi.nlm.nih.gov/34748707
Autor:
Thomas M. Whitehead, Benedict Irwin, Jeff Kattas, Tamsin E. Mansley, Dmitriy Chekmarev, Gareth Conduit, Shyam Vyas, Matthew D. Segall, Jack Bikker, Samar Mahmoud
Predicting the sensory properties of compounds is challenging, due to the subjective nature of the experimental measurements, which rely on a panel of human participants and are therefore also expensive and time-consuming. We describe the application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31639090c26ac5404c2c998a685841b4
Publikováno v:
Journal of Chemical Information and Modeling. 59:1197-1204
We describe a novel deep learning neural network method and its application to impute assay pIC50 values. Unlike conventional machine learning approaches, this method is trained on sparse bioactivity data as input, typical of that found in public and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f00023698986900de16e9521d255f00
https://doi.org/10.1021/acs.jcim.8b00768
https://doi.org/10.1021/acs.jcim.8b00768
Autor:
Benedict Irwin
We present a collection of mathematical tools and emphasise a fundamental representation of analytic functions. Connecting these concepts leads to a framework for `exact learning', where an unknown numeric distribution could in principle be assigned
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fdb981319ef94e6a928faf9b5d7a62d
https://doi.org/10.21203/rs.3.rs-149856/v1
https://doi.org/10.21203/rs.3.rs-149856/v1
Autor:
Thomas M. Whitehead, Benedict Irwin, Gareth Conduit, Scott Rowland, Matthew D. Segall, Samar Mahmoud
More accurate predictions of the biological properties of chemical compounds would guide the selection and design of new compounds in drug discovery and help to address the enormous cost and low success-rate of pharmaceutical R&D. However this domain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54822fc8ab8d948d4bb95e1473f43e0d
https://doi.org/10.22541/au.161111205.55340339/v1
https://doi.org/10.22541/au.161111205.55340339/v1