Natural products for drug discovery in the 21st century: innovations for novel drug discovery

NE Thomford, DA Senthebane, A Rowe… - International journal of …, 2018 - mdpi.com
The therapeutic properties of plants have been recognised since time immemorial. Many
pathological conditions have been treated using plant-derived medicines. These medicines …

Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences

C Manzoni, DA Kia, J Vandrovcova… - Briefings in …, 2018 - academic.oup.com
Advances in the technologies and informatics used to generate and process large biological
data sets (omics data) are promoting a critical shift in the study of biomedical sciences. While …

[HTML][HTML] A next generation connectivity map: L1000 platform and the first 1,000,000 profiles

A Subramanian, R Narayan, SM Corsello, DD Peck… - Cell, 2017 - cell.com
We previously piloted the concept of a Connectivity Map (CMap), whereby genes, drugs,
and disease states are connected by virtue of common gene-expression signatures. Here …

Machine and deep learning approaches for cancer drug repurposing

NT Issa, V Stathias, S Schürer… - Seminars in cancer …, 2021 - Elsevier
Abstract Knowledge of the underpinnings of cancer initiation, progression and metastasis
has increased exponentially in recent years. Advanced “omics” coupled with machine …

[HTML][HTML] The role of natural products as sources of therapeutic agents for innovative drug discovery

K Dzobo - Comprehensive pharmacology, 2022 - ncbi.nlm.nih.gov
Emerging threats to human health require a concerted effort in search of both preventive and
treatment strategies, placing natural products at the center of efforts to obtain new therapies …

DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery

C Ye, DJ Ho, M Neri, C Yang, T Kulkarni… - Nature …, 2018 - nature.com
Here we report Digital RNA with pertUrbation of Genes (DRUG-seq), a high-throughput
platform for drug discovery. Pharmaceutical discovery relies on high-throughput screening …

Reversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targets

B Chen, L Ma, H Paik, M Sirota, W Wei… - Nature …, 2017 - nature.com
The decreasing cost of genomic technologies has enabled the molecular characterization of
large-scale clinical disease samples and of molecular changes upon drug treatment in …

Integrating cell morphology with gene expression and chemical structure to aid mitochondrial toxicity detection

S Seal, J Carreras-Puigvert, MA Trapotsi… - Communications …, 2022 - nature.com
Mitochondrial toxicity is an important safety endpoint in drug discovery. Models based solely
on chemical structure for predicting mitochondrial toxicity are currently limited in accuracy …

Harnessing big 'omics' data and AI for drug discovery in hepatocellular carcinoma

B Chen, L Garmire, DF Calvisi, MS Chua… - Nature Reviews …, 2020 - nature.com
Hepatocellular carcinoma (HCC) is the most common form of primary adult liver cancer. After
nearly a decade with sorafenib as the only approved treatment, multiple new agents have …

Saracatinib, a selective src kinase inhibitor, blocks fibrotic responses in preclinical models of pulmonary fibrosis

F Ahangari, C Becker, DG Foster… - American Journal of …, 2022 - atsjournals.org
Rationale: Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, and often fatal
disorder. Two US Food and Drug Administration–approved antifibrotic drugs, nintedanib and …