Phenotypic drug discovery: recent successes, lessons learned and new directions
F Vincent, A Nueda, J Lee, M Schenone… - Nature Reviews Drug …, 2022 - nature.com
Many drugs, or their antecedents, were discovered through observation of their effects on
normal or disease physiology. For the past generation, this phenotypic drug discovery …
normal or disease physiology. For the past generation, this phenotypic drug discovery …
The emerging role of mass spectrometry-based proteomics in drug discovery
Proteins are the main targets of most drugs; however, system-wide methods to monitor
protein activity and function are still underused in drug discovery. Novel biochemical …
protein activity and function are still underused in drug discovery. Novel biochemical …
Metallodrugs are unique: Opportunities and challenges of discovery and development
EJ Anthony, EM Bolitho, HE Bridgewater… - Chemical …, 2020 - pubs.rsc.org
Metals play vital roles in nutrients and medicines and provide chemical functionalities that
are not accessible to purely organic compounds. At least 10 metals are essential for human …
are not accessible to purely organic compounds. At least 10 metals are essential for human …
Open Targets Platform: supporting systematic drug–target identification and prioritisation
Abstract The Open Targets Platform (https://www. targetvalidation. org/) provides users with
a queryable knowledgebase and user interface to aid systematic target identification and …
a queryable knowledgebase and user interface to aid systematic target identification and …
[HTML][HTML] The evolving role of investigative toxicology in the pharmaceutical industry
F Pognan, M Beilmann, H Boonen, A Czich… - Nature reviews drug …, 2023 - nature.com
For decades, preclinical toxicology was essentially a descriptive discipline in which
treatment-related effects were carefully reported and used as a basis to calculate safety …
treatment-related effects were carefully reported and used as a basis to calculate safety …
Image-based profiling for drug discovery: due for a machine-learning upgrade?
SN Chandrasekaran, H Ceulemans, JD Boyd… - Nature Reviews Drug …, 2021 - nature.com
Image-based profiling is a maturing strategy by which the rich information present in
biological images is reduced to a multidimensional profile, a collection of extracted image …
biological images is reduced to a multidimensional profile, a collection of extracted image …
Lysosomes as a therapeutic target
SR Bonam, F Wang, S Muller - Nature reviews Drug discovery, 2019 - nature.com
Lysosomes are membrane-bound organelles with roles in processes involved in degrading
and recycling cellular waste, cellular signalling and energy metabolism. Defects in genes …
and recycling cellular waste, cellular signalling and energy metabolism. Defects in genes …
Targeting the NLRP3 inflammasome in inflammatory diseases
MSJ Mangan, EJ Olhava, WR Roush… - Nature reviews Drug …, 2018 - nature.com
Danger signals are a hallmark of many common inflammatory diseases, and these stimuli
can function to activate the cytosolic innate immune signalling receptor NLRP3 (NOD-, LRR …
can function to activate the cytosolic innate immune signalling receptor NLRP3 (NOD-, LRR …
Structure-based development and preclinical evaluation of the SARS-CoV-2 3C-like protease inhibitor simnotrelvir
X Jiang, H Su, W Shang, F Zhou, Y Zhang… - Nature …, 2023 - nature.com
The persistent pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants accentuates the great …
respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants accentuates the great …
Exploiting machine learning for end-to-end drug discovery and development
A variety of machine learning methods such as naive Bayesian, support vector machines
and more recently deep neural networks are demonstrating their utility for drug discovery …
and more recently deep neural networks are demonstrating their utility for drug discovery …