Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions
Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, developing drugs for central nervous system (CNS) disorders remains the most …
However, developing drugs for central nervous system (CNS) disorders remains the most …
Promising drug targets and associated therapeutic interventions in Parkinson's disease
SN Rai, P Singh, R Varshney… - Neural regeneration …, 2021 - journals.lww.com
Parkinson's disease (PD) is one of the most debilitating brain diseases. Despite the
availability of symptomatic treatments, response towards the health of PD patients remains …
availability of symptomatic treatments, response towards the health of PD patients remains …
Machine learning in Alzheimer's disease drug discovery and target identification
C Geng, ZB Wang, Y Tang - Ageing Research Reviews, 2024 - Elsevier
Alzheimer's disease (AD) stands as a formidable neurodegenerative ailment that poses a
substantial threat to the elderly population, with no known curative or disease-slowing drugs …
substantial threat to the elderly population, with no known curative or disease-slowing drugs …
Unlocking the paracetamol adsorption mechanism in graphene tridimensional-based materials: an experimental-theoretical approach
The omnipresence of emerging contaminants in the aquatic environment is indisputable.
These contaminants include chemical substances not removed in traditional water and …
These contaminants include chemical substances not removed in traditional water and …
Designing multi-target drugs for the treatment of major depressive disorder
Introduction Major depressive disorders (MDD) pose major health burdens globally.
Currently available medications have their limitations due to serious adverse effects, long …
Currently available medications have their limitations due to serious adverse effects, long …
有希望成为帕金森病的新药物靶标和相关的治疗干预措施
SN Rai, P Singh, R Varshney, VK Chaturvedi… - 中国神经再生研究 …, 2021 - sjzsyj.com.cn
Parkinson's disease (PD) is one of the most debilitating brain diseases. Despite the
availability of symptomatic treatments, response towards the health of PD patients remains …
availability of symptomatic treatments, response towards the health of PD patients remains …
Exploring the applications of formulation-based drug development strategies in neurological disorders using artificial intelligence and machine learning approaches
The study of artificial intelligence (AI), a multidimensional field, empowers machines with the
ability to understand, reason, learn, and perform tasks autonomously. As a pivotal branch of …
ability to understand, reason, learn, and perform tasks autonomously. As a pivotal branch of …
MOZART, a QSAR Multi-Target Web-Based Tool to Predict Multiple Drug–Enzyme Interactions
R Concu, MNDS Cordeiro, M Pérez-Pérez… - Molecules, 2023 - mdpi.com
Developing models able to predict interactions between drugs and enzymes is a primary
goal in computational biology since these models may be used for predicting both new …
goal in computational biology since these models may be used for predicting both new …
Yeni Kolinesteraz ve Monoamin Oksidaz Enzim Inhibitörlerinin Tasarımı, Sentezi ve Biyolojik Aktivite Çalışmaları
BU Polat - 2022 - search.proquest.com
Demansın en yaygın nedeni olarak görülen Alzheimer hastalığı, bilişsel fonksiyonları
etkileyen progresif ve dejeneratif bir hastalıktır. Halen kullanılmakta olan tedaviler azalmış …
etkileyen progresif ve dejeneratif bir hastalıktır. Halen kullanılmakta olan tedaviler azalmış …
Monoami̇n Oksi̇daz Enzi̇m Inhi̇bi̇törleri̇ Olarak Ti̇yazol Halkasi Iceren Yeni̇ Bi̇leşi̇kleri̇n Sentez ve Bi̇yoloji̇k Etki̇ Çalişmalari
N Khali̇lova - 2022 - search.proquest.com
Alzheimer hastalığı genellikle yaşlı popülasyonda görülen, davranışsal semptomlar ile
bilişsel ve fiziksel işlev kaybı ile karakterize ilerleyici, nedeni bilinmeyen ölümcül bir demans …
bilişsel ve fiziksel işlev kaybı ile karakterize ilerleyici, nedeni bilinmeyen ölümcül bir demans …