Artificial intelligence for drug discovery: are we there yet?

C Hasselgren, TI Oprea - Annual Review of Pharmacology and …, 2024 - annualreviews.org
Drug discovery is adapting to novel technologies such as data science, informatics, and
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …

Chemoinformatics and artificial intelligence colloquium: progress and challenges in develo** bioactive compounds

J Bajorath, AL Chávez-Hernández… - Journal of …, 2022 - Springer
We report the main conclusions of the first Chemoinformatics and Artificial Intelligence
Colloquium, Mexico City, June 15–17, 2022. Fifteen lectures were presented during a virtual …

[HTML][HTML] The alzheimer's knowledge base: A knowledge graph for alzheimer disease research

JD Romano, V Truong, R Kumar, M Venkatesan… - Journal of Medical …, 2024 - jmir.org
Background As global populations age and become susceptible to neurodegenerative
illnesses, new therapies for Alzheimer disease (AD) are urgently needed. Existing data …

Screening techniques for drug discovery in alzheimer's disease

S Maniam, S Maniam - ACS omega, 2024 - ACS Publications
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive and
irreversible impairment of memory and other cognitive functions of the aging brain …

Pathogenic tau induces an adaptive elevation in mRNA translation rate at early stages of disease

G Zuniga, S Katsumura, J De Mange, P Ramirez… - Aging cell, 2024 - Wiley Online Library
Alterations in the rate and accuracy of messenger RNA (mRNA) translation are associated
with aging and several neurodegenerative disorders, including Alzheimer's disease and …

Machine learning assists prediction of genes responsible for plant specialized metabolite biosynthesis by integrating multi-omics data

W Bai, C Li, W Li, H Wang, X Han, P Wang, L Wang - BMC genomics, 2024 - Springer
Background Plant specialized (or secondary) metabolites (PSM), also known as
phytochemicals, natural products, or plant constituents, play essential roles in interactions …

The versatile role of TREM2 in regulating of microglia fate in the ischemic stroke

W Ma, S Wang, Q Wu, X Zhou, S Chu… - International …, 2022 - Elsevier
Microglia are the earliest activated and the longest lasting immune cells after stroke, and
they participate in almost all the pathological reactions after stroke. However, their regulatory …

Machine learning models identify predictive features of patient mortality across dementia types

J Zhang, L Song, Z Miller, KCG Chan… - Communications …, 2024 - nature.com
Background Dementia care is challenging due to the divergent trajectories in disease
progression and outcomes. Predictive models are needed to flag patients at risk of near-term …

[HTML][HTML] Artificial intelligence and neuroscience: transformative synergies in brain research and clinical applications

R Onciul, CI Tataru, AV Dumitru, C Crivoi… - Journal of Clinical …, 2025 - mdpi.com
The convergence of Artificial Intelligence (AI) and neuroscience is redefining our
understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy …

Integration of genome-scale data identifies candidate sleep regulators

YY Lee, M Endale, G Wu, MD Ruben, LJ Francey… - Sleep, 2023 - academic.oup.com
Abstract Study Objectives Genetics impacts sleep, yet, the molecular mechanisms
underlying sleep regulation remain elusive. In this study, we built machine learning models …