[HTML][HTML] Why 90% of clinical drug development fails and how to improve it?

D Sun, W Gao, H Hu, S Zhou - Acta Pharmaceutica Sinica B, 2022 - Elsevier
Ninety percent of clinical drug development fails despite implementation of many successful
strategies, which raised the question whether certain aspects in target validation and drug …

AI-powered therapeutic target discovery

FW Pun, IV Ozerov, A Zhavoronkov - Trends in pharmacological sciences, 2023 - cell.com
Disease modeling and target identification are the most crucial initial steps in drug
discovery, and influence the probability of success at every step of drug development …

[HTML][HTML] Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology

AV Singh, V Chandrasekar, N Paudel, P Laux… - Biomedicine & …, 2023 - Elsevier
More information about a person's genetic makeup, drug response, multi-omics response,
and genomic response is now available leading to a gradual shift towards personalized …

From traditional ethnopharmacology to modern natural drug discovery: A methodology discussion and specific examples

S Pirintsos, A Panagiotopoulos, M Bariotakis… - Molecules, 2022 - mdpi.com
Ethnopharmacology, through the description of the beneficial effects of plants, has provided
an early framework for the therapeutic use of natural compounds. Natural products, either in …

Machine learning in pharmacometrics: Opportunities and challenges

M McComb, R Bies… - British Journal of Clinical …, 2022 - Wiley Online Library
The explosive growth in medical devices, imaging and diagnostics, computing, and
communication and information technologies in drug development and healthcare has …

Use of artificial intelligence to enhance phenotypic drug discovery

S Malandraki-Miller, PR Riley - Drug Discovery Today, 2021 - Elsevier
Highlights•This review re-explores the comparison between phenotypic and target-based
drug discovery and outlines how machine learning (ML) can assist the former at the forefront …

A marine collagen-based 3D scaffold for in vitro modeling of human prostate cancer niche and anti-cancer therapeutic discovery

WH Song, YS Lim, JE Kim, HY Kang, C Lee… - Marine Drugs, 2024 - mdpi.com
Recently, the need to develop a robust three-dimensional (3D) cell culture system that
serves as a valuable in vitro tumor model has been emphasized. This system should closely …

State-of-the-art in the drug discovery pathway for Chagas disease: A framework for drug development and target validation

JC Gabaldón-Figueira… - … and Reports in …, 2023 - Taylor & Francis
Chagas disease is the most important protozoan infection in the Americas, and constitutes a
significant public health concern throughout the world. Development of new medications …

Artificial intelligence in longevity medicine

A Zhavoronkov, E Bischof, KF Lee - Nature Aging, 2021 - nature.com
Recent advances in deep learning enabled the development of AI systems that outperform
humans in many tasks and have started to empower scientists and physicians with new …

Structure-based drug-development study against fibroblast growth factor receptor 2: molecular docking and Molecular dynamics simulation approaches

A Shamsi, MS Khan, DK Yadav, M Shahwan… - Scientific Reports, 2024 - nature.com
Developing new therapeutic strategies to target specific molecular pathways has become a
primary focus in modern drug discovery science. Fibroblast growth factor receptor 2 (FGFR2) …