Network pharmacology approach for medicinal plants: review and assessment

F Noor, M Tahir ul Qamar, UA Ashfaq, A Albutti… - Pharmaceuticals, 2022 - mdpi.com
Natural products have played a critical role in medicine due to their ability to bind and
modulate cellular targets involved in disease. Medicinal plants hold a variety of bioactive …

Artificial intelligence and machine learning technology driven modern drug discovery and development

C Sarkar, B Das, VS Rawat, JB Wahlang… - International Journal of …, 2023 - mdpi.com
The discovery and advances of medicines may be considered as the ultimate relevant
translational science effort that adds to human invulnerability and happiness. But advancing …

Artificial intelligence in drug discovery and development

KK Mak, YH Wong, MR Pichika - Drug discovery and evaluation: safety …, 2024 - Springer
This chapter comprehensively explores the pivotal role of artificial intelligence (AI) in drug
discovery and development, encapsulating its potentials, methodologies, real-world …

Polypharmacology: drug discovery for the future

AS Reddy, S Zhang - Expert review of clinical pharmacology, 2013 - Taylor & Francis
In recent years, even with remarkable scientific advancements and a significant increase of
global research and development spending, drugs are frequently withdrawn from markets …

Computational drug repositioning: from data to therapeutics

MR Hurle, L Yang, Q Xie, DK Rajpal… - Clinical …, 2013 - Wiley Online Library
Traditionally, most drugs have been discovered using phenotypic or target‐based screens.
Subsequently, their indications are often expanded on the basis of clinical observations …

Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases

S He, LG Leanse, Y Feng - Advanced drug delivery reviews, 2021 - Elsevier
In the era of antimicrobial resistance, the prevalence of multidrug-resistant microorganisms
that resist conventional antibiotic treatment has steadily increased. Thus, it is now …

Toward in silico structure-based ADMET prediction in drug discovery

G Moroy, VY Martiny, P Vayer, BO Villoutreix… - Drug discovery today, 2012 - Elsevier
Quantitative structure–activity relationship (QSAR) methods and related approaches have
been used to investigate the molecular features that influence the absorption, distribution …

Strategies of Artificial intelligence tools in the domain of nanomedicine

M Habeeb, HW You, M Umapathi, KK Ravikumar… - Journal of Drug Delivery …, 2024 - Elsevier
Nanomedicine is a field of medicine that uses nanotechnology to develop new diagnostic
tools and therapies for a wide range of medical conditions. It encompasses a variety of …

DrugNet: Network-based drug–disease prioritization by integrating heterogeneous data

V Martínez, C Navarro, C Cano, W Fajardo… - Artificial intelligence in …, 2015 - Elsevier
Objective Computational drug repositioning can lead to a considerable reduction in cost and
time in any drug development process. Recent approaches have addressed the network …

The emerging paradigm of network medicine in the study of human disease

SY Chan, J Loscalzo - Circulation research, 2012 - Am Heart Assoc
The molecular pathways that govern human disease consist of molecular circuits that
coalesce into complex, overlapping networks. These network pathways are presumably …