Machine learning in drug discovery: a review
This review provides the feasible literature on drug discovery through ML tools and
techniques that are enforced in every phase of drug development to accelerate the research …
techniques that are enforced in every phase of drug development to accelerate the research …
Applications of machine learning in drug discovery and development
Drug discovery and development pipelines are long, complex and depend on numerous
factors. Machine learning (ML) approaches provide a set of tools that can improve discovery …
factors. Machine learning (ML) approaches provide a set of tools that can improve discovery …
Co-occurring genomic alterations in non-small-cell lung cancer biology and therapy
F Skoulidis, JV Heymach - Nature Reviews Cancer, 2019 - nature.com
The impressive clinical activity of small-molecule receptor tyrosine kinase inhibitors for
oncogene-addicted subgroups of non-small-cell lung cancer (for example, those driven by …
oncogene-addicted subgroups of non-small-cell lung cancer (for example, those driven by …
Expanding control of the tumor cell cycle with a CDK2/4/6 inhibitor
K Freeman-Cook, RL Hoffman, N Miller, J Almaden… - Cancer cell, 2021 - cell.com
Summary The CDK4/6 inhibitor, palbociclib (PAL), significantly improves progression-free
survival in HR+/HER2− breast cancer when combined with anti-hormonals. We sought to …
survival in HR+/HER2− breast cancer when combined with anti-hormonals. We sought to …
[HTML][HTML] New approaches to SCLC therapy: from the laboratory to the clinic
JT Poirier, J George, TK Owonikoko, A Berns… - Journal of Thoracic …, 2020 - Elsevier
The outcomes of patients with SCLC have not yet been substantially impacted by the
revolution in precision oncology, primarily owing to a paucity of genetic alterations in …
revolution in precision oncology, primarily owing to a paucity of genetic alterations in …
SCLC-CellMiner: a resource for small cell lung cancer cell line genomics and pharmacology based on genomic signatures
C Tlemsani, L Pongor, F Elloumi, L Girard, KE Huffman… - Cell reports, 2020 - cell.com
Summary CellMiner-SCLC (https://discover. nci. nih. gov/SclcCellMinerCDB/) integrates
drug sensitivity and genomic data, including high-resolution methylome and transcriptome …
drug sensitivity and genomic data, including high-resolution methylome and transcriptome …
A pharmacogenomic landscape in human liver cancers
Liver cancers are highly heterogeneous with poor prognosis and drug response. A better
understanding between genetic alterations and drug responses would facilitate precision …
understanding between genetic alterations and drug responses would facilitate precision …
Exploring new targets and chemical space with affinity selection-mass spectrometry
R Prudent, DA Annis, PJ Dandliker… - Nature Reviews …, 2021 - nature.com
Affinity selection-mass spectrometry (AS-MS) is a high-throughput screening (HTS)
technique for drug discovery that enables rapid screening of large collections of compounds …
technique for drug discovery that enables rapid screening of large collections of compounds …
The evolution of cyber resilience frameworks in network security: a conceptual analysis
Abstract The Evolution of Cyber Resilience Frameworks in Network Security: A Conceptual
Analysis provides a comprehensive overview of the development and application of cyber …
Analysis provides a comprehensive overview of the development and application of cyber …
Molecular determinants of nephron vascular specialization in the kidney
Although kidney parenchymal tissue can be generated in vitro, reconstructing the complex
vasculature of the kidney remains a daunting task. The molecular pathways that specify and …
vasculature of the kidney remains a daunting task. The molecular pathways that specify and …