Background: Neurological disorders are composed of several diseases that affect the central and peripheral nervous system; among these are neurodegenerative diseases, which lead to neuronal death. Many of these diseases have treatment for the disease and symptoms, leading patients to use several drugs that cause side effects. Introduction: The search for new treatments has led to the investigation of multi-target drugs. Method: This review aimed to investigate in the literature the multi-target effect in neurological disorders through an in silico approach. Studies were reviewed on the diseases such as epilepsy, Alzheimer's disease, Amyotrophic Lateral Sclerosis (ALS), Huntington's disease, cerebral ischemia, and Parkinson's disease. Result: As a result, the study emphasize the relevance of research by computational techniques such as quantitative structure-activity relationship (QSAR) prediction models, pharmacokinetic prediction models, molecular docking, and molecular dynamics, besides presenting possible drug candidates with multi-target activity. Conclusion: It was possible to identify several targets with pharmacological activities. Some of these targets had diseases in common such as carbonic anhydrase, acetylcholinesterase, NMDA, and MAO being relevant for possible multi-target approaches.

Epilepsy is a chronic neurological disorder affecting 1-2% of world population, and one-third of patients are refractory to pharmacological treatment. This fact has stimulated research for new antiepileptic drugs and natural products have been an important source. trans-Anethole (TAN) is a phenylpropanoid, component of some essential oils, extracted from plants, and its effects have been little studied. Therefore, this study is aimed at investigating the TAN effect in classic seizure models and evaluate the electroencephalographic (EEG) profile of animals treated with this substance. For this, Swiss male mice (Mus musculus) were used, and the lethal dose was evaluated and subsequently submitted to the test maximal electroshock (MES), the pentylenetetrazole- (PTZ) induced seizure test, and the EEG profile. Initially, the LD50 for TAN was estimated in 1000 mg/kg (i.p.) dose and there was no sign of acute toxicity or death. In the MES test, TAN 300, i.p. ( 12.00 ± 2.9  s) and 400 mg/kg, i.p. ( 9.00 ± 4.4  s) doses was able to decrease tonic seizures duration induced by electric discharge (0.5 mA, 150 pulses/s, for 0.5 s). In the PTZ test (75 mg/kg, i.p.), TAN 400 mg/kg, i.p. increased the latency to myoclonic jerks (80.0 (56.0–134.0)), the latency totonic-clonic seizures (900.0 (861.0–900.0) and decrease seizure duration (0.0 (0.0–10.0)). No deaths were found in this groups compared to vehicle. EEG analysis showed an amplitude decrease of waves (ratio of baseline) in TAN 300 ( 1.82 ± 0.23 ) and 400 mg/kg ( 1.06 ± 0.16 ) groups. In this way, TAN at 400 mg/kg was able to inhibit and/or attenuate seizures by increasing the time for the onset of spasms and convulsions, as reducing the duration of seizures. The EEG profile corroborate with this results showing a reduction in the amplitude of waves compared to the PTZ group. Thus, TAN showed an anticonvulsant effect in all experimental models performed, behavioral and electroencephalographic.

Background: Epilepsy is a neurological disease affected by an imbalance of inhibitory and excitatory signaling in the brain. Introduction: In this disease, the targets are active in pathophysiology and thus can be used as a focus for pharmacological treatment. Methods: Several studies demonstrated the antiepileptic effect of drugs acting on the following targets: N-methyl-D-aspartate (NMDA), alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor, voltage-gated calcium channel (Cav), Gamma aminobutyric acid transporter type 1 (GAT1), voltage-gated sodium channels (Nav), voltage-gated potassium channel of the Q subfamily (KCNQ) and Gamma aminobutyric acid type A (GABAA) receiver. Results: These studies highlight the importance of molecular docking. Conclusion: Quantitative Structure-Activity Relationship (QSAR) and computer aided drug design (CADD) in predicting of possible pharmacological activities of these targets.

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Objective: Major depressive disorder (MDD) is one of the today's most common psychological disorders, affecting mainly women, and is directly related to stressful daily events and high glucocorticoid levels. Studies on the neurobiology of depression Public Significance StatementThe application of 2-4 stressors per day for 2 weeks, in an unexpected and randomized manner, induced depressive-like behavior and increased corticosterone levels, in a shorter time than chronic protocols (over 4 weeks). With simple tools, low cost, and less time, a model with face, predictive and construct validity for animal models of depression becomes possible.

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