Results 81 to 90 of about 400,933 (233)

Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities

open access: yesFrontiers in Chemistry, 2019
The drug development is generally arduous, costly, and success rates are low. Thus, the identification of drug-target interactions (DTIs) has become a crucial step in early stages of drug discovery.
Maha Thafar   +6 more
doaj   +1 more source

A DEEP LEARNING APPROACH FOR DRUG-TARGET AFFINITY PREDICTIONCOMPREHENSIVE TRANSACTIVE ENERGY MANAGEMENT SYSTEMS

open access: yes, 2021
The identification of drug-target interaction (DTI) is a crucial part of the drug discovery and development process. In vitro and in vivo experiments for drug target validation and screening are, however, very expensive and take a lot of time to ...
Li, Albina
core  

Baseline Regional Cholinergic Denervation Predicts Cognitive Trajectories in Moderate Parkinson Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive decline is a disabling and variable feature of Parkinson disease (PD). While cholinergic system degeneration is linked to cognitive impairments in PD, most prior research reported cross‐sectional associations. We aimed to fill this gap by investigating whether baseline regional cerebral vesicular acetylcholine transporter ...
Taylor Brown   +6 more
wiley   +1 more source

Fluorous Drug-Affinity Proteomics for Cancer Drug Discovery [PDF]

open access: yes, 2015
Identifying the intracellular targets of small molecules – target ID – is a major problem in chemical biology with broad application to the discovery and development of novel therapies.
Herzberg, Benjamin
core  

Ofatumumab in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease: A Comparison With Rituximab

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan   +5 more
wiley   +1 more source

Efficacy of Inebilizumab in N‐MOmentum Trial Participants With or Without Prior Immunosuppressants

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This post hoc analysis examined the impact of prior immunosuppressants on the long‐term efficacy and safety of inebilizumab, a cluster of differentiation 19+ B‐cell–depleting monoclonal antibody, in participants with aquaporin‐4–seropositive neuromyelitis optica spectrum disorder from the N‐MOmentum trial (NTC02200770).
Bruce A. C. Cree   +9 more
wiley   +1 more source

GraphCL-DTA: a graph contrastive learning with molecular semantics for drug-target binding affinity prediction

open access: yes, 2023
Drug-target binding affinity prediction plays an important role in the early stages of drug discovery, which can infer the strength of interactions between new drugs and new targets. However, the performance of previous computational models is limited by
Chu, Jian, Yang, Genke, Yang, Xinxing
core  

White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian   +8 more
wiley   +1 more source

DynHeter-DTA: Dynamic Heterogeneous Graph Representation for Drug-Target Binding Affinity Prediction

open access: yes
In drug development, drug-target affinity (DTA) prediction is a key indicator for assessing the drug’s efficacy and safety. Despite significant progress in deep learning-based affinity prediction approaches in recent years, there are still ...
Changli Li, Guangyue Li
core   +1 more source

Halogen Bond: Its Role beyond Drug–Target Binding Affinity for Drug Discovery and Development

open access: yes, 2015
Halogen bond has attracted a great deal of attention in the past years for hit-to-lead-to-candidate optimization aiming at improving drug-target binding affinity. In general, heavy organohalogens (i.e., organochlorines, organobromines, and organoiodines)
Yunxiang Lu (1305909)   +5 more
core   +1 more source

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