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The antipsychotic medications aripiprazole, brexpiprazole and cariprazine are off-target respiratory chain complex I inhibitors
Antipsychotic drugs are the mainstay of treatment for schizophrenia and provide adjunct therapies for other prevalent psychiatric conditions,...
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Use of Naïve Bayes Classifier to Assess the Effects of Antipsychotic Agents on Brain Electrical Activity Parameters in Rats
AbstractResearch and development of novel methods to determine the effects of antipsychotic agents is an important challenge for...
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Molecular Features Triggered by Antipsychotic Medication in Brain Cells
Treating schizophrenia is a challenge currently handled with the use of antipsychotic drugs. Despite being the most applied treatment strategy,...
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Inhibition of VMAT2 by β2-adrenergic agonists, antagonists, and the atypical antipsychotic ziprasidone
Vesicular monoamine transporter 2 (VMAT2) is responsible for packing monoamine neurotransmitters into synaptic vesicles for storage and subsequent...
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Targeting DRD2 by the antipsychotic drug, penfluridol, retards growth of renal cell carcinoma via inducing stemness inhibition and autophagy-mediated apoptosis
Renal cell carcinoma (RCC) is one of the most lethal genitourinary malignancies with poor prognoses, since it is largely resistant to chemotherapy,...
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Drug Repurposing: An Effective Tool in Modern Drug Discovery
AbstractDrug repurposing is using an existing drug for a new treatment that was not indicated before. It has received immense attention during the...
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In Silico Pharmacology and Drug Repurposing Approaches
Drug repurposing is an innovative and resourceful approach to expanding access to treatment options by making new uses for medications that are...
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Drug repurposing strategy II: from approved drugs to agri-fungicide leads
Epidemic diseases of crops caused by fungi deeply affected the course of human history and processed a major restriction on social and economic...
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Drug Repurposing to Discover Novel Anti-Inflammatory Agents Inhibiting JAK3/STAT Signaling
AbstractAmong the JAKs, JAK3 is the most important target for the treatment of inflammatory diseases because its inhibition showed the utmost...
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A Platform for the Study of Drug Interactions and Adverse Effects Prediction
This article reports on the development of a Web platform for the study of Adverse Drug Events (ADEs). The platform is able to import ADE episodes...
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Pharmacoencephalographic Assessment of Antiphyschotic Agents’ Effect Dose-Dependency in Rats
AbstractPharmacoencephalography (pharmaco-EEG) is a prominent instrument for the pharmacological screening of new psychoactive molecules. This...
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Current non-invasive strategies for brain drug delivery: overcoming blood–brain barrier transport
BackgroundThe blood-brain barrier (BBB) is a complex and dynamic structure that serves as a gatekeeper, restricting the migrations of most compounds...
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Exploring the mRNA expression level of RELN in peripheral blood of schizophrenia patients before and after antipsychotic treatment
BackgroundThe Reelin (RELN) gene encodes the protein reelin, which is a large extracellular matrix glycoprotein that plays a key role in brain...
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GCMM: graph convolution network based on multimodal attention mechanism for drug repurposing
BackgroundThe main focus of in silico drug repurposing, which is a promising area for using artificial intelligence in drug discovery, is the...
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Plasma linoelaidyl carnitine levels positively correlated with symptom improvement in olanzapine-treated first-episode drug-naïve schizophrenia
IntroductionOlanzapine (OLA) is one of the most commonly used second-generation antipsychotics for the treatment of schizophrenia. However, the...
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Metabolic and electrolyte abnormalities as risk factors in drug-induced long QT syndrome
Drug-induced long QT syndrome (diLQTS) is the phenomenon by which the administration of drugs causes prolongation of cardiac repolarisation and leads...
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Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug–target interactions prediction
BackgroundIdentifying drug–target interactions (DTIs) plays a key role in drug development. Traditional wet experiments to identify DTIs are...
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SSELM-neg: spherical search-based extreme learning machine for drug–target interaction prediction
BackgroundThe experimental verification of a drug discovery process is expensive and time-consuming. Therefore, efficiently and effectively...
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The endoplasmic reticulum participated in drug metabolic toxicity
Covalent binding of reactive metabolites formed by drug metabolic activation with biological macromolecules is considered to be an important...
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Drug repurposing strategy part 1: from approved drugs to agri-bactericides leads
Phytopathogenic bacteria are a major cause of crop mortality and yield reduction, especially in field cultivation. The lack of effective chemistry...
