Drug design of new 5-HT6R antagonists aided by artificial neural networks. 2021

Aldineia P da Silva, and Laise P A Chiari, and Amanda R Guimaraes, and Kathia M Honorio, and Albérico B F da Silva
Departamento de Química e Física Molecular, Instituto de Química de São Carlos, Universidade de São Paulo, C.P 780, 13560-970, São Carlos, SP, Brazil.

Alzheimer's Disease (AD) is the most frequent illness and cause of death amongst the age related-neurodegenerative disorders. The Alzheimer's Disease International (ADI) reported in 2019 that over 50 million people were living with dementia in the world and this number could potentially be around 152 million by 2050.5-hydroxtryptamine subtype 6 receptor (5-HT6R) has been identified as a potential anti-amnesic drug target and therefore, the administration of 5-HT6R antagonists can likely mitigate the memory loss and intellectual deterioration associated with AD. Herein, computational tools were applied to design new 5-HT6 antagonists and their biological activity values were predicted by our QSAR model obtained from Artificial Neural Networks (ANN). The proposed compounds here from the QSAR-ANN model presented significant biological activity values and some of them have achieved pKi above 9.00. Furthermore, our results suggest that the presence of halogen atoms (especially bromine) linked to the aromatic ring at para-position (HYD) contribute considerably to the increase of the biological activity values while bulky groups in the PI position do not culminate with the increase antagonist activity of compounds here analyzed. Finally, the ADME/Tox profile as well as the synthetic accessibility of new proposed compounds qualify them to go on further with experimental procedures and thenceforward their antagonist effects can be confirmed.

UI MeSH Term Description Entries
D011985 Receptors, Serotonin Cell-surface proteins that bind SEROTONIN and trigger intracellular changes which influence the behavior of cells. Several types of serotonin receptors have been recognized which differ in their pharmacology, molecular biology, and mode of action. 5-HT Receptor,5-HT Receptors,5-Hydroxytryptamine Receptor,5-Hydroxytryptamine Receptors,Receptors, Tryptamine,Serotonin Receptor,Serotonin Receptors,Tryptamine Receptor,Tryptamine Receptors,Receptors, 5-HT,Receptors, 5-Hydroxytryptamine,5 HT Receptor,5 HT Receptors,5 Hydroxytryptamine Receptor,5 Hydroxytryptamine Receptors,Receptor, 5-HT,Receptor, 5-Hydroxytryptamine,Receptor, Serotonin,Receptor, Tryptamine,Receptors, 5 HT,Receptors, 5 Hydroxytryptamine
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D012701 Serotonin A biochemical messenger and regulator, synthesized from the essential amino acid L-TRYPTOPHAN. In humans it is found primarily in the central nervous system, gastrointestinal tract, and blood platelets. Serotonin mediates several important physiological functions including neurotransmission, gastrointestinal motility, hemostasis, and cardiovascular integrity. Multiple receptor families (RECEPTORS, SEROTONIN) explain the broad physiological actions and distribution of this biochemical mediator. 5-HT,5-Hydroxytryptamine,3-(2-Aminoethyl)-1H-indol-5-ol,Enteramine,Hippophaine,Hydroxytryptamine,5 Hydroxytryptamine
D012702 Serotonin Antagonists Drugs that bind to but do not activate serotonin receptors, thereby blocking the actions of serotonin or SEROTONIN RECEPTOR AGONISTS. 5-HT Antagonist,5-HT Antagonists,5-Hydroxytryptamine Antagonist,5-Hydroxytryptamine Antagonists,Antiserotonergic Agent,Antiserotonergic Agents,Serotonin Antagonist,Serotonin Blockader,Serotonin Blockaders,Serotonin Receptor Antagonist,Serotonin Receptor Blocker,Antagonists, 5-HT,Antagonists, 5-Hydroxytryptamine,Antagonists, Serotonin,Serotonin Receptor Antagonists,Serotonin Receptor Blockers,5 HT Antagonist,5 HT Antagonists,5 Hydroxytryptamine Antagonist,5 Hydroxytryptamine Antagonists,Agent, Antiserotonergic,Agents, Antiserotonergic,Antagonist, 5-HT,Antagonist, 5-Hydroxytryptamine,Antagonist, Serotonin,Antagonist, Serotonin Receptor,Antagonists, 5 HT,Antagonists, 5 Hydroxytryptamine,Antagonists, Serotonin Receptor,Blockader, Serotonin,Blockaders, Serotonin,Blocker, Serotonin Receptor,Blockers, Serotonin Receptor,Receptor Antagonist, Serotonin,Receptor Antagonists, Serotonin,Receptor Blocker, Serotonin,Receptor Blockers, Serotonin
D015195 Drug Design The molecular designing of drugs for specific purposes (such as DNA-binding, enzyme inhibition, anti-cancer efficacy, etc.) based on knowledge of molecular properties such as activity of functional groups, molecular geometry, and electronic structure, and also on information cataloged on analogous molecules. Drug design is generally computer-assisted molecular modeling and does not include PHARMACOKINETICS, dosage analysis, or drug administration analysis. Computer-Aided Drug Design,Computerized Drug Design,Drug Modeling,Pharmaceutical Design,Computer Aided Drug Design,Computer-Aided Drug Designs,Computerized Drug Designs,Design, Pharmaceutical,Drug Design, Computer-Aided,Drug Design, Computerized,Drug Designs,Drug Modelings,Pharmaceutical Designs
D016571 Neural Networks, Computer A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming. Computational Neural Networks,Connectionist Models,Models, Neural Network,Neural Network Models,Neural Networks (Computer),Perceptrons,Computational Neural Network,Computer Neural Network,Computer Neural Networks,Connectionist Model,Model, Connectionist,Model, Neural Network,Models, Connectionist,Network Model, Neural,Network Models, Neural,Network, Computational Neural,Network, Computer Neural,Network, Neural (Computer),Networks, Computational Neural,Networks, Computer Neural,Networks, Neural (Computer),Neural Network (Computer),Neural Network Model,Neural Network, Computational,Neural Network, Computer,Neural Networks, Computational,Perceptron

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