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 …
Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …
companies and chemical scientists. However, low efficacy, off-target delivery, time …
QSAR without borders
EN Muratov, J Bajorath, RP Sheridan… - Chemical Society …, 2020 - pubs.rsc.org
Prediction of chemical bioactivity and physical properties has been one of the most
important applications of statistical and more recently, machine learning and artificial …
important applications of statistical and more recently, machine learning and artificial …
Map** the landscape of artificial intelligence applications against COVID-19
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by
the World Health Organization, which has reported over 18 million confirmed cases as of …
the World Health Organization, which has reported over 18 million confirmed cases as of …
A review of computational drug repositioning: strategies, approaches, opportunities, challenges, and directions
Drug repositioning is the process of identifying novel therapeutic potentials for existing drugs
and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an …
and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an …
The BioGRID interaction database: 2019 update
R Oughtred, C Stark, BJ Breitkreutz, J Rust… - Nucleic acids …, 2019 - academic.oup.com
Abstract The Biological General Repository for Interaction Datasets (BioGRID:
https://thebiogrid. org) is an open access database dedicated to the curation and archival …
https://thebiogrid. org) is an open access database dedicated to the curation and archival …
Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients
AC Aschenbrenner, M Mouktaroudi, B Krämer… - Genome medicine, 2021 - Springer
Abstract Background The SARS-CoV-2 pandemic is currently leading to increasing numbers
of COVID-19 patients all over the world. Clinical presentations range from asymptomatic …
of COVID-19 patients all over the world. Clinical presentations range from asymptomatic …
CMNPD: a comprehensive marine natural products database towards facilitating drug discovery from the ocean
Marine organisms are expected to be an important source of inspiration for drug discovery
after terrestrial plants and microorganisms. Despite the remarkable progress in the field of …
after terrestrial plants and microorganisms. Despite the remarkable progress in the field of …
Target identification among known drugs by deep learning from heterogeneous networks
Without foreknowledge of the complete drug target information, development of promising
and affordable approaches for effective treatment of human diseases is challenging. Here …
and affordable approaches for effective treatment of human diseases is challenging. Here …
Autonomous discovery in the chemical sciences part II: outlook
This two‐part Review examines how automation has contributed to different aspects of
discovery in the chemical sciences. In this second part, we reflect on a selection of …
discovery in the chemical sciences. In this second part, we reflect on a selection of …