Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions

S Vatansever, A Schlessinger, D Wacker… - Medicinal research …, 2021 - Wiley Online Library
Neurological disorders significantly outnumber diseases in other therapeutic areas.
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 …

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 …

Unlocking the paracetamol adsorption mechanism in graphene tridimensional-based materials: an experimental-theoretical approach

CF de Matos, MB Leão, LFO Vendrame, IM Jauris… - Frontiers in …, 2024 - frontiersin.org
The omnipresence of emerging contaminants in the aquatic environment is indisputable.
These contaminants include chemical substances not removed in traditional water and …

Designing multi-target drugs for the treatment of major depressive disorder

AK Halder, S Mitra, MNDS Cordeiro - Expert Opinion on Drug …, 2023 - Taylor & Francis
Introduction Major depressive disorders (MDD) pose major health burdens globally.
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 …

Exploring the applications of formulation-based drug development strategies in neurological disorders using artificial intelligence and machine learning approaches

A Aspatwar, R Nath, R Bhowmik, R Jesudasan - 2024 - chemrxiv.org
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 …

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 …

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 …

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 …