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Cell Chemical Biology
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March 19, 2021
High-content phenotypic and pathway profiling to advance drug discovery in diseases of unmet need
Rebecca E Hughes, Richard J R Elliott, John C Dawson, et al.
Plos One
|
December 11, 2023
A cautionary note on the use of N-acetylcysteine as a reactive oxygen species antagonist to assess copper mediated cell death
Rebecca E Graham, Richard J R Elliott, Alison F Munro, et al.
Oncotarget
|
January 8, 2015
The cylindromatosis gene product, CYLD, interacts with MIB2 to regulate notch signalling
Neil Rajan, Richard J R Elliott, Alice Smith, et al.
SLAS Discovery : Advancing Life Sciences R & D
|
May 23, 2020
High-Content Phenotypic Profiling in Esophageal Adenocarcinoma Identifies Selectively Active Pharmacological Classes of Drugs for Repurposing and Chemical Starting Points for Novel Drug Discovery
Rebecca E Hughes, Richard J R Elliott, Alison F Munro, et al.
SLAS Discovery : Advancing Life Sciences R & D
|
June 3, 2021
Application of a High-Content Screening Assay Utilizing Primary Human Lung Fibroblasts to Identify Antifibrotic Drugs for Rapid Repurposing in COVID-19 Patients
John A Marwick, Richard J R Elliott, James Longden, et al.
ACS Omega
|
March 3, 2025
Cellular Activity of CQWW Nullomer-Derived Peptides
Steven Shave, Rebecka Isaksson, Nhan T Pham, et al.
RSC Medicinal Chemistry
|
December 15, 2023
Discovery of pyrazolopyrimidines that selectively inhibit CSF-1R kinase by iterative design, synthesis and screening against glioblastoma cells
Daniel J Baillache, Teresa Valero, Álvaro Lorente-Macías, et al.
Iscience
|
July 24, 2023
Chemogenomic library design strategies for precision oncology, applied to phenotypic profiling of glioblastoma patient cells
Paschalis Athanasiadis, Balaguru Ravikumar, Richard J R Elliott, et al.
Digital Discovery
|
May 20, 2026
Identification of drug candidates against glioblastoma with machine learning and high-throughput screening of heterogeneous cellular models
Vanessa Smer-Barreto, Richard J R Elliott, John C Dawson, et al.
Nature Communications
|
June 10, 2023
Discovery of senolytics using machine learning
Vanessa Smer-Barreto, Andrea Quintanilla, Richard J R Elliott, et al.
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Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Cell Chemical Biology
|
March 19, 2021
High-content phenotypic and pathway profiling to advance drug discovery in diseases of unmet need
Rebecca E Hughes, Richard J R Elliott, John C Dawson, et al.
Plos One
|
December 11, 2023
A cautionary note on the use of N-acetylcysteine as a reactive oxygen species antagonist to assess copper mediated cell death
Rebecca E Graham, Richard J R Elliott, Alison F Munro, et al.
Oncotarget
|
January 8, 2015
The cylindromatosis gene product, CYLD, interacts with MIB2 to regulate notch signalling
Neil Rajan, Richard J R Elliott, Alice Smith, et al.
SLAS Discovery : Advancing Life Sciences R & D
|
May 23, 2020
High-Content Phenotypic Profiling in Esophageal Adenocarcinoma Identifies Selectively Active Pharmacological Classes of Drugs for Repurposing and Chemical Starting Points for Novel Drug Discovery
Rebecca E Hughes, Richard J R Elliott, Alison F Munro, et al.
SLAS Discovery : Advancing Life Sciences R & D
|
June 3, 2021
Application of a High-Content Screening Assay Utilizing Primary Human Lung Fibroblasts to Identify Antifibrotic Drugs for Rapid Repurposing in COVID-19 Patients
John A Marwick, Richard J R Elliott, James Longden, et al.
ACS Omega
|
March 3, 2025
Cellular Activity of CQWW Nullomer-Derived Peptides
Steven Shave, Rebecka Isaksson, Nhan T Pham, et al.
RSC Medicinal Chemistry
|
December 15, 2023
Discovery of pyrazolopyrimidines that selectively inhibit CSF-1R kinase by iterative design, synthesis and screening against glioblastoma cells
Daniel J Baillache, Teresa Valero, Álvaro Lorente-Macías, et al.
Iscience
|
July 24, 2023
Chemogenomic library design strategies for precision oncology, applied to phenotypic profiling of glioblastoma patient cells
Paschalis Athanasiadis, Balaguru Ravikumar, Richard J R Elliott, et al.
Digital Discovery
|
May 20, 2026
Identification of drug candidates against glioblastoma with machine learning and high-throughput screening of heterogeneous cellular models
Vanessa Smer-Barreto, Richard J R Elliott, John C Dawson, et al.
Nature Communications
|
June 10, 2023
Discovery of senolytics using machine learning
Vanessa Smer-Barreto, Andrea Quintanilla, Richard J R Elliott, et al.
Page
of 2