Discovering allatostatin type-C receptor specific agonists.

Currently, there is no pesticide available for the selective control of the pine processionary moth (Thaumetopoea pityocampa-specific), and conventional methods typically rely on mechanical techniques such as pheromone traps or broad-spectrum larvicidal chemicals. As climate change increases the range and dispersion capacity of crop and forest pests, outbreaks of the pine processionary occur with greater frequency and significantly impact forestry and public health. Our study is carried out to provide a T. pityocampa-specific pesticide targeting the Allatostatin Type-C Receptor (AlstR-C). We use a combination of computational biology methods, a cell-based screening assay, and in vivo toxicity and side effect assays to identify, for the first time, a series of AlstR-C ligands suitable for use as T. pityocampa-specific insecticides. We further demonstrate that the novel AlstR-C targeted agonists are specific to lepidopteran larvae, with no harmful effects on coleopteran larvae or adults. Overall, our study represents an important initial advance toward an insect GPCR-targeted next-generation pesticide design. Our approach may apply to other invertebrate GPCRs involved in vital metabolic pathways.

G protein-specific mechanisms in the serotonin 5-HT2A receptor regulate psychosis-related effects and memory deficits.

G protein-coupled receptors (GPCRs) are sophisticated signaling machines able to simultaneously elicit multiple intracellular signaling pathways upon activation. Complete (in)activation of all pathways can be counterproductive for specific therapeutic applications. This is the case for the serotonin 2 A receptor (5-HT2AR), a prominent target for the treatment of schizophrenia. In this study, we elucidate the complex 5-HT2AR coupling signature in response to different signaling probes, and its physiological consequences by combining computational modeling, in vitro and in vivo experiments with human postmortem brain studies. We show how chemical modification of the endogenous agonist serotonin dramatically impacts the G protein coupling profile of the 5-HT2AR and the associated behavioral responses. Importantly, among these responses, we demonstrate that memory deficits are regulated by Gαq protein activation, whereas psychosis-related behavior is modulated through Gαi1 stimulation. These findings emphasize the complexity of GPCR pharmacology and physiology and open the path to designing improved therapeutics for the treatment of stchizophrenia.

Pharmacological fingerprint of antipsychotic drugs at the serotonin 5-HT2A receptor.

The intricate involvement of the serotonin 5-HT2A receptor (5-HT2AR) both in schizophrenia and in the activity of antipsychotic drugs is widely acknowledged. The currently marketed antipsychotic drugs, although effective in managing the symptoms of schizophrenia to a certain extent, are not without their repertoire of serious side effects. There is a need for better therapeutics to treat schizophrenia for which understanding the mechanism of action of the current antipsychotic drugs is imperative. With bioluminescence resonance energy transfer (BRET) assays, we trace the signaling signature of six antipsychotic drugs belonging to three generations at the 5-HT2AR for the entire spectrum of signaling pathways activated by serotonin (5-HT). The antipsychotic drugs display previously unidentified pathway preference at the level of the individual Gα subunits and ß-arrestins. In particular, risperidone, clozapine, olanzapine and haloperidol showed G protein-selective inverse agonist activity. In addition, G protein-selective partial agonism was found for aripiprazole and cariprazine. Pathway-specific apparent dissociation constants determined from functional analyses revealed distinct coupling-modulating capacities of the tested antipsychotics at the different 5-HT-activated pathways. Computational analyses of the pharmacological and structural fingerprints support a mechanistically based clustering that recapitulate the clinical classification (typical/first generation, atypical/second generation, third generation) of the antipsychotic drugs. The study provides a new framework to functionally classify antipsychotics that should represent a useful tool for the identification of better and safer neuropsychiatric drugs and allows formulating hypotheses on the links between specific signaling cascades and in the clinical outcomes of the existing drugs.

Development of Fluorescent AF64394 Analogues Enables Real-Time Binding Studies for the Orphan Class A GPCR GPR3.

The orphan G protein-coupled receptor (oGPCR) GPR3 represents a potential drug target for the treatment of Alzheimer's disease and metabolic disorders. However, the limited toolbox of pharmacological assays hampers the development of advanced ligands. Here, we developed a signaling pathway-independent readout of compound-GPR3 interaction. Starting from computational binding pose predictions of the most potent GPR3 ligand, we designed a series of fluorescent AF64394 analogues and assessed their suitability for BRET-based binding studies. The most potent ligand, 45 (UR-MB-355), bound to GPR3 and closely related receptors, GPR6 and GPR12, with similar submicromolar affinities. Furthermore, we found that 45 engages GPR3 in a distinct mode compared to AF64394, and coincubation studies with the GPR3 agonist diphenyleneiodonium chloride revealed allosteric modulation of 45 binding. These insights provide new cues for the pharmacological manipulation of GPR3 activity. This novel binding assay will foster the development of future drugs acting through these pharmacologically attractive oGPCRs.

On the construction of LIECE models for the serotonin receptor 5-HT[Formula: see text]R.

Computer-aided approaches to ligand design need to balance accuracy with speed. This is particularly true for one of the key parameters to be optimized during ligand development, the free energy of binding ([Formula: see text]G[Formula: see text]). Here, we developed simple models based on the Linear Interaction Energy approximation to free energy calculation for a G protein-coupled receptor, the serotonin receptor 2A, and critically evaluated their accuracy. Several lessons can be taken from our calculations, providing information on the influence of the docking software used, the conformational state of the receptor, the cocrystallized ligand, and its comparability to the training/test ligands.

Screening of Clinically Approved and Investigation Drugs as Potential Inhibitors of SARS-CoV-2: A Combined in silico and in†vitro Study.

In the current study, we used 7922 FDA approved small molecule drugs as well as compounds in clinical investigation from NIH's NPC database in our drug repurposing study. SARS-CoV-2 main protease as well as Spike protein/ACE2 targets were used in virtual screening and top-100 compounds from each docking simulations were considered initially in short molecular dynamics (MD) simulations and their average binding energies were calculated by MM/GBSA method. Promising hit compounds selected based on average MM/GBSA scores were then used in long MD simulations. Based on these numerical calculations following compounds were found as hit inhibitors for the SARS-CoV-2 main protease: Pinokalant, terlakiren, ritonavir, cefotiam, telinavir, rotigaptide, and cefpiramide. In addition, following 3 compounds were identified as inhibitors for Spike/ACE2: Denopamine, bometolol, and rotigaptide. In order to verify the predictions of in silico analyses, 4 compounds (ritonavir, rotigaptide, cefotiam, and cefpiramide) for the main protease and 2 compounds (rotigaptide and denopamine) for the Spike/ACE2 interactions were tested by in vitro experiments. While the concentration-dependent inhibition of the ritonavir, rotigaptide, and cefotiam was observed for the main protease; denopamine was effective at the inhibition of Spike/ACE2 binding.

Structural and Functional Characterization of Allatostatin Receptor Type-C of Thaumetopoea pityocampa, a Potential Target for Next-Generation Pest Control Agents.

Insect neuropeptide receptors, including allatostatin receptor type C (AstR-C), a G protein-coupled receptor, are among the potential targets for designing next-generation pesticides that despite their importance in offering a new mode-of-action have been overlooked. Focusing on AstR-C of Thaumetopoea pityocampa, a common pest in Mediterranean countries, by employing resonance energy transfer-based methods, we showed Gαi/o coupling and ß-arrestin recruitment of the receptor at sub-nanomolar and nanomolar ranges of the endogenous ligand, AST-C, respectively. Molecular docking and molecular dynamics simulation studies revealed the importance of extracellular loop 2 in AstRC/AST-C interaction, and a combination of in silico and in vitro approaches showed the substantial role of Q2716.55 in G protein-dependent activation of AstR-C possibly via contributing to the flexibility of the receptor's structure. The functional and structural insights obtained on T. pit AstR-C positively assist future efforts in developing environmentally friendly pest control agents that are needed urgently.

Are insect GPCRs ideal next-generation pesticides: opportunities and challenges.

The increasing human population, combined with low inefficiency and adverse effects of available pesticides, has magnified the urgent need of developing next-generation pesticides. Among the available approaches, strategies targeting invertebrate G protein-coupled receptors (GPCRs) are very promising as these receptors are the targets of endogenous neuropeptides/neuromodulators that upon binding to their receptors induce profound changes in insect physiology. Therefore, exploring GPCR regulators has great potential in the development of targeted next-generation pesticides. Despite the great potential of such alternative pesticides, so far there has been only one approved compound, Amitraz, which conveys its anti-pest activity via the GPCR Octopamine receptor. Here, we review the current status of pesticide development, hazards associated with conventional pesticide compounds, alternative strategies that involve next-generation of pesticides, structural features of GPCRs, and opportunities and challenges of targeting the members of this superfamily in invertebrates to develop anti-pest agents. In conclusion, we emphasize that the potential of GPCRs cannot be utilized in full without more genomic and transcriptomic data to improve our understanding of the complex network of peptidergic signaling pathways. We argue how vital it is to obtain three-dimensional (3D) structural data on physiologically important target GPCRs and encourage the readers to use the state of the art in silico methods such as virtual screening for the discovery of new pesticide compounds.

In silico characterization of adipokinetic hormone receptor and screening for pesticide candidates against stick insect, Carausius morosus.

Adipokinetic hormone (AKH) is an insect neuropeptide that plays crucial roles in a variety of physiological functions such as regulation of heartbeat frequency, blood hemolymph trehalose levels, and protein synthesis. It exerts its functions through binding to its cognate G protein-coupled receptor (GPCR), named adipokinetic hormone receptor (AKHR). The aim of this study is to characterize AKHR of stick insect, Carausius morosus, which becomes an agricultural and forest pest during its outbreaks, and to screen pesticide candidates that would act through inhibition of AKHR. To this aim, the sequence of the receptor and its ligand were obtained from previously published transcriptome data and homology modeling, molecular docking, and molecular dynamics (MD) simulations were combined to find the ligand-binding pocket of AKHR. As a result, crucial residues in ligand binding were identified. These residues were located at the 6th and 7th transmembrane (TM) domains and the 2nd extracellular loop (ECL) of AKHR model. In order to propose pesticide candidates, virtual screening was performed, and candidate ligands were obtained. Considering the binding energies and the stability of the interaction between the ligand and the receptor, four hit compounds were selected. In conclusion, this study revealed a possible ligand-binding pocket of AKHR and proposed some high-affinity small-molecules to block its function, which would further facilitate pesticide design studies against the same receptor of various pests.

Whole genome sequencing of Thaumetopoea pityocampa revealed putative pesticide targets.

Insect neuropeptides play a major role in the regulation of the physiological processes. Due to their versatile effects on the development of insects, their corresponding receptors, which are mostly G-protein coupled receptors, are considered as ideal targets for designing next-generation pesticides. In this study, we aimed to find neuropeptide receptors of pine processionary moth (Thaumetopoea pityocampa), a pest in the Mediterranean countries, that feeds on the needles of pine trees. To this aim, Whole Genome Shotgun sequencing technique was used. de novo assembly of the genome was performed using two different assemblers, SGA and MaSuRCA. The results of two assemblers were compared, and MaSuRCA assembler showed higher N50 length. To find some target GPCRs, sequences of Drosophila melanogaster and evolutionarily close species were used as blast queries in the assembled data. Five GPCRs were chosen from the genome and their expression was confirmed in the larval stage of the insect.