Search

Neglected diseases are a group of infectious diseases, many of them parasitic, that mainly affect the poorest populations with limited access to health services, especially those living in remote rural areas and slums. According to the World Health Organization (WHO), neglected diseases put the lives of more than 200 million people at risk, and treatment is made difficult by the occurrence of resistance to existing medications, as well as the high level of toxicity. In this way, the potential of multitarget compounds is highlighted, defined as compounds designed to modulate multiple targets of relevance to disease, with the overall goal of enhancing efficacy and/or improving safety. Thus, the objective of our study is to evaluate existing multitarget compound approaches for neglected diseases, with an emphasis on Leishmaniasis, Chagas Disease, and Arboviruses. A literature review was performed by searching the database "Web of Sciences". In relation to the diseases covered in this work, Leishmaniasis, individually, was the one that presented the largest number of articles (11) that dealt with the topic, which can be justified by the high prevalence of this disease in the world, the second most common disease was Dengue, followed by Chagas disease, Chikungunya virus, and Zika virus. Furthermore, the multitarget potential of phenolic compounds was observed in all diseases under study, with the mechanisms related to the nucleus and transcription being the most reported mechanisms. From this perspective, it is worth highlighting the effectiveness of approaches related to multitarget drugs in discovering new therapeutic agents for neglected diseases., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Background: Skin aging is a natural process resulting from intrinsic (hormonal and genetic) and extrinsic (environmental) factors. Photoaging occurs due to prolonged exposure of the skin to ultraviolet radiation, accounting for 80% of facial aging., Introduction: Characteristics of aging skin include reduced elasticity, the appearance of fine wrinkles, uneven tone, and dryness. Clinical signs of photoaging involve the presence of deeper wrinkles, rough texture, dyschromia and a greater loss of elasticity compared to chronological aging., Methods: This work reported several scientific articles that used computational techniques, such as molecular docking, molecular dynamics and quantitative structure-activity relationship (QSAR) to identify natural products and their derivatives against skin aging and photoaging., Results: The in silico analyses carried out by the researchers predicted the binding affinity and interactions of the natural products with the targets matrix metalloproteinase-1, matrix metalloproteinase- 3, matrix metalloproteinase-9 and tyrosinase. Furthermore, some studies have reported the stability of the protein-ligand complex and the physicochemical properties of the studied compounds. Finally, this research proposes promising molecules against the targets., Conclusion: Thus, studies like this one are relevant to guide new research related to skin aging and photoaging., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

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., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Background: Natural products, such as phenylpropanoids, which are found in essential oils derived from aromatic plants, have been explored during non-clinical psychopharmacology studies, to discover new molecules with relevant pharmacological activities in the central nervous system, especially antidepressant and anxiolytic activities. Major depressive disorder is a highly debilitating psychiatric disorder and is considered to be a disabling public health problem, worldwide, as a primary factor associated with suicide. Current clinically administered antidepressants have late-onset therapeutic actions, are associated with several side effects, and clinical studies have reported that some patients do not respond well to treatment or reach complete remission., Objective: To review important new targets for antidepressant activity and to select phenylpropanoids with antidepressant activity, using Molegro Virtual Docker and Ossis Data Warris, and to verify substances with more promising antidepressant activity., Results and Conclusion: An in silico molecular modeling study, based on homology, was conducted to determine the three-dimensional structure of the 5-hydroxytryptamine 2A receptor (5- HT2AR), then molecular docking studies were performed and the predisposition for cytotoxicity risk among identified molecules was examined. A model for 5-HT2AR homology, with satisfactory results, was obtained indicating the good stereochemical quality of the model. The phenylpropanoid 4-allyl-2,6-dimethoxyphenol showed the lowest binding energy for 5-HT2AR, with results relevant to the L-arginine/nitric oxide (NO)/cGMP pathway, and showed no toxicity within the parameters of mutagenicity, carcinogenicity, reproductive system toxicity, and skin-tissue irritability, when evaluated in silico; therefore, this molecule can be considered promising for the investigation of antidepressant activity., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

The most basic principle of drug action is found in the lock and key model, where the highest possible affinity for a target that also avoids side effects is desired. For many years this was understood as being "one drug, for one target, for one disease", however researchers began to observe that certain diseases are best treated with multi-target drugs. In recent years, studies have sought out polypharmacological compounds acting on multiple targets against complex (multifactorial) diseases, such as cancer, neurodegenerative disease, and certain infections. One of the computational tools used in research for multifunctional drugs is Molecular Docking. Through this methodology of Computer-Aided Drug Design, we observe complexes formed between ligands and interesting targets (often many), for a particular disease. This review reports on docking studies as used in investigations of new multi-target compounds; it also shows the various ways that such studies are used in the search for multifunctional compounds., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.)