[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 …

[HTML][HTML] Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges

I Salahshoori, M Golriz, MAL Nobre, S Mahdavi… - Journal of Molecular …, 2024 - Elsevier
Efficient drug delivery systems (DDSs) play a pivotal role in ensuring pharmaceuticals'
targeted and effective administration. However, the intricate interplay between drug …

Current strategies to enhance delivery of drugs across the blood–brain barrier

RI Teleanu, MD Preda, AG Niculescu, O Vladâcenco… - Pharmaceutics, 2022 - mdpi.com
The blood–brain barrier (BBB) has shown to be a significant obstacle to brain medication
delivery. The BBB in a healthy brain is a diffusion barrier that prevents most substances from …

Artificial intelligence: Machine learning approach for screening large database and drug discovery

PP Parvatikar, S Patil, K Khaparkhuntikar, S Patil… - Antiviral Research, 2023 - Elsevier
Recent research in drug discovery dealing with many faces difficulties, including
development of new drugs during disease outbreak and drug resistance due to rapidly …

[HTML][HTML] Natural bioactive products as promising therapeutics: A review of natural product-based drug development

CB Aware, DN Patil, SS Suryawanshi, PR Mali… - South African Journal of …, 2022 - Elsevier
Since ancient times, natural medicines have had paramount importance in bolstering
biotherapeutics to treat various diseases. The World Health Organization (WHO) revealed …

Geometric deep learning for structure-based ligand design

AS Powers, HH Yu, P Suriana, RV Koodli… - ACS Central …, 2023 - ACS Publications
A pervasive challenge in drug design is determining how to expand a ligand─ a small
molecule that binds to a target biomolecule─ in order to improve various properties of the …

Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery

MK Tripathi, A Nath, TP Singh, AS Ethayathulla… - Molecular Diversity, 2021 - Springer
The accumulation of massive data in the plethora of Cheminformatics databases has made
the role of big data and artificial intelligence (AI) indispensable in drug design. This has …

A review on parallel virtual screening softwares for high-performance computers

NA Murugan, A Podobas, D Gadioli, E Vitali… - Pharmaceuticals, 2022 - mdpi.com
Drug discovery is the most expensive, time-demanding, and challenging project in
biopharmaceutical companies which aims at the identification and optimization of lead …

Design of tracers in fluorescence polarization assay for extensive application in small molecule drug discovery

L Hua, D Wang, K Wang, Y Wang, J Gu… - Journal of Medicinal …, 2023 - ACS Publications
Development of fluorescence polarization (FP) assays, especially in a competitive manner,
is a potent and mature tool for measuring the binding affinities of small molecules. This …

Caspases in Alzheimer's disease: mechanism of activation, role, and potential treatment

P Wójcik, MK Jastrzębski, A Zięba, D Matosiuk… - Molecular …, 2024 - Springer
With the aging of the population, treatment of conditions emerging in old age, such as
neurodegenerative disorders, has become a major medical challenge. Of these, Alzheimer's …