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 …
discovery and development, encapsulating its potentials, methodologies, real-world …
Artificial intelligence, big data and machine learning approaches in precision medicine & drug discovery
A Nayarisseri, R Khandelwal, P Tanwar… - Current drug …, 2021 - ingentaconnect.com
Artificial Intelligence revolutionizes the drug development process that can quickly identify
potential biologically active compounds from millions of candidate within a short period. The …
potential biologically active compounds from millions of candidate within a short period. The …
Artificial intelligence in drug discovery: a comprehensive review of data-driven and machine learning approaches
As expenditure on drug development increases exponentially, the overall drug discovery
process requires a sustainable revolution. Since artificial intelligence (AI) is leading the …
process requires a sustainable revolution. Since artificial intelligence (AI) is leading the …
Machine learning applications in drug repurposing
Abstract The coronavirus disease (COVID-19) has led to an rush to repurpose existing
drugs, although the underlying evidence base is of variable quality. Drug repurposing is a …
drugs, although the underlying evidence base is of variable quality. Drug repurposing is a …
Artificial intelligence in surveillance, diagnosis, drug discovery and vaccine development against COVID-19
As of August 6th, 2021, the World Health Organization has notified 200.8 million laboratory-
confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic …
confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic …
Computational approaches for modeling and structural design of biological systems: A comprehensive review
E Gayathiri, P Prakash, P Kumaravel… - Progress in Biophysics …, 2023 - Elsevier
The convergence of biology and computational science has ushered in a revolutionary era,
revolutionizing our understanding of biological systems and providing novel solutions to …
revolutionizing our understanding of biological systems and providing novel solutions to …
Machine-learning repurposing of DrugBank compounds for opioid use disorder
Opioid use disorder (OUD) is a chronic and relapsing condition that involves the continued
and compulsive use of opioids despite harmful consequences. The development of …
and compulsive use of opioids despite harmful consequences. The development of …
[HTML][HTML] Systems pharmacology approaches in herbal medicine research: a brief review
Herbal medicine, a multi-component treatment, has been extensively practiced for treating
various symptoms and diseases. However, its molecular mechanism of action on the human …
various symptoms and diseases. However, its molecular mechanism of action on the human …
Drug–drug similarity measure and its applications
L Huang, H Luo, S Li, FX Wu… - Briefings in …, 2021 - academic.oup.com
Drug similarities play an important role in modern biology and medicine, as they help
scientists gain deep insights into drugs' therapeutic mechanisms and conduct wet labs that …
scientists gain deep insights into drugs' therapeutic mechanisms and conduct wet labs that …
Artificial intelligence and big data facilitated targeted drug discovery
B Liu, H He, H Luo, T Zhang, J Jiang - Stroke and vascular neurology, 2019 - svn.bmj.com
Different kinds of biological databases publicly available nowadays provide us a goldmine
of multidiscipline big data. The Cancer Genome Atlas is a cancer database including …
of multidiscipline big data. The Cancer Genome Atlas is a cancer database including …