α,γ-Peptide nanotube templating of one-dimensional parallel fullerene arrangements

(Figure Presented) The formation and full characterization of single self-assembling α,γ-peptide nanotubes (α,γ-SPNs) is described. The introduction of C60 into cyclic peptides allows the preparation of supramolecular 1D fullerene arrangements induced by peptide nanotube formation under appropriate conditions. © 2009 American Chemical Society.This work was supported by the Spanish Ministry of Education and Science and the ERDF [SAF2007-61015 and Consolider Ingenio 2010 (CSD2007-00006)] and the Xunta de Galicia (GRC2006/ 132, PGIDIT06PXIB209018PR, PGIDIT08CSA047209PR, and R2006/ 124). The work by J.M.V. and J.L.C. was supported by Grants BFU2007- 62382/BMC from the Spanish MEC (J.M.V.) and S-0505/MAT/0283 from the Madrid Regional Government (J.M.V. and J.L.C.). C.R. and R.J.B. thank the Spanish MEC for their FPU Fellowships. We also thank Dr. Carmen Serra (Nanotechnology and Surface Analysis Service at C.A.C.T.I., University of Vigo) for her help with STM. We also thank Dowpharma for their kind gift of ENZA enzymes used in the preparation of D-Boc-γ-Acp-OH.Peer reviewe

Perturbation theory/machine learning model of ChEMBL data for dopamine targets: docking, synthesis, and assay of new l-prolyl-l-leucyl-glycinamide peptidomimetics

[Abstract] Predicting drug–protein interactions (DPIs) for target proteins involved in dopamine pathways is a very important goal in medicinal chemistry. We can tackle this problem using Molecular Docking or Machine Learning (ML) models for one specific protein. Unfortunately, these models fail to account for large and complex big data sets of preclinical assays reported in public databases. This includes multiple conditions of assays, such as different experimental parameters, biological assays, target proteins, cell lines, organism of the target, or organism of assay. On the other hand, perturbation theory (PT) models allow us to predict the properties of a query compound or molecular system in experimental assays with multiple boundary conditions based on a previously known case of reference. In this work, we report the first PTML (PT + ML) study of a large ChEMBL data set of preclinical assays of compounds targeting dopamine pathway proteins. The best PTML model found predicts 50000 cases with accuracy of 70–91% in training and external validation series. We also compared the linear PTML model with alternative PTML models trained with multiple nonlinear methods (artificial neural network (ANN), Random Forest, Deep Learning, etc.). Some of the nonlinear methods outperform the linear model but at the cost of a notable increment of the complexity of the model. We illustrated the practical use of the new model with a proof-of-concept theoretical–experimental study. We reported for the first time the organic synthesis, chemical characterization, and pharmacological assay of a new series of l-prolyl-l-leucyl-glycinamide (PLG) peptidomimetic compounds. In addition, we performed a molecular docking study for some of these compounds with the software Vina AutoDock. The work ends with a PTML model predictive study of the outcomes of the new compounds in a large number of assays. Therefore, this study offers a new computational methodology for predicting the outcome for any compound in new assays. This PTML method focuses on the prediction with a simple linear model of multiple pharmacological parameters (IC50, EC50, Ki, etc.) for compounds in assays involving different cell lines used, organisms of the protein target, or organism of assay for proteins in the dopamine pathway.Ministerio de Economía y Competitividad; CTQ2016-74881-PGobierno Vasco; IT1045-16Xunta de Galicia; GPC2014/003Xunta de Galicia; CN 2012/069Xunta de Galicia; ED431D 2017/16Xunta de Galicia; ED431D 2017/23Xunta de Galicia; GRC2014/049Xunta de Galicia; ED431D 2017/2

Soluble epoxide hydrolase inhibitors: design, synthesis, in vitro profiling and in vivo evaluation in murine models of pain

Trabajo presentado en el ASPET Annual Meeting at Experimental Biology 2022, celebrado en Philadelphia, PA (Estados Unidos), del 2 al 5 de abril de 2022This research by the Grant PID2020-118127RB-I00 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe” to S.V. Financial support from Fundació Bosch i Gimpera, Universitat de Barcelona (F2I grant), to S.V., and from the Xunta de Galicia (ED431G 2019/02 and ED431C 2018/21) to M.I.L. are acknowledged. Partial support was provided by NIH-NIEHS River Award R35 ES03443, NIH-NIEHS Superfund Program P42 ES004699, NINDS R01 DK107767, and NIDDK R01 DK103616 to B.D.H. S.C. acknowledges a PhD fellowship from the Universitat de Barcelona (APIF grant)

Targeting PDE10A GAF Domain with Small Molecules: A Way for Allosteric Modulation with Anti-Inflammatory Effects

Phosphodiesterase (PDE) enzymes regulate the levels of cyclic nucleotides, cAMP, and/or cGMP, being attractive therapeutic targets. In order to modulate PDE activity in a selective way, we focused our efforts on the search of allosteric modulators. Based on the crystal structure of the PDE10A GAF-B domain, a virtual screening study allowed the discovery of new hits that were also tested experimentally, showing inhibitory activities in the micromolar range. Moreover, these new PDE10A inhibitors were able to decrease the nitrite production in LPS-stimulated cells, thus demonstrating their potential as anti-inflammatory agentsFinancial support from MINECO and FEDER founds (UE program) (project SAF2012-33600) is acknowledged. A.M.G. acknowledges pre-doctoral grants to the CSIC (JAEPre program)S

Computer-Aided Structure-Based Design of Multitarget Leads for Alzheimer’s Disease

Alzheimer’s disease is a neurodegenerative pathology with unmet clinical needs. A highly desirable approach to this syndrome would be to find a single lead that could bind to some or all of the selected biomolecules that participate in the amyloid cascade, the most accepted route for Alzheimer disease genesis. In order to circumvent the challenge posed by the sizable differences in the binding sites of the molecular targets, we propose a computer-assisted protocol based on a pharmacophore and a set of required interactions with the targets that allows for the automated screening of candidates. We used a combination of docking and molecular dynamics protocols in order to discard nonbinders, optimize the best candidates, and provide a rationale for their potential as inhibitors. To provide a proof of concept, we proceeded to screen the literature and databases, a task that allowed us to identify a set of carbazole-containing compounds that initially showed affinity only for the cholinergic targets in our experimental assays. Two cycles of design based on our protocol led to a new set of analogues that were synthesized and assayed. The assay results revealed that the designed inhibitors had improved affinities for BACE-1 by more than 3 orders of magnitude and also displayed amyloid aggregation inhibition and affinity for AChE and BuChE, a result that led us to a group of multitarget amyloid cascade inhibitors that also could have a positive effect at the cholinergic levelFinancial support from the Ministerio de Economia y Competitividad of Spain (Project CTQ2011-22436) and the Xunta de Galicia (CN2011/047 and 10CSA209063PR) is gratefully acknowledgedS

Deterioro neuropsicológico en sujetos con trastorno Bipolar en fase de eutimia

La recuperación en trastorno bipolar en fase de eutimia es característico para su definición, pero se sabe que el deterioro neuropsicológico persiste durante esta fase residual. Diversos estudios sugieren el mantenimiento de déficits cognitivos en pacientes asintomáticos. El objetivo del estudio es evaluar la posible disfunción cognitiva de pacientes bipolares en estado de eutimia por medio de una batería de pruebas que examinan capacidades como memoria y funciones inhibitorias, comparando las puntuaciones de once sujetos con trastorno bipolar con catorce sujetos sanos en una batería de pruebas neuropsicológica

Pharmacological insights emerging from the characterization of a large collection of synthetic cannabinoid receptor agonists designer drugs

Synthetic cannabinoid receptor agonists (SCRAs) constitute the largest and most defiant group of abuse designer drugs. These new psychoactive substances (NPS), developed as unregulated alternatives to cannabis, have potent cannabimimetic effects and their use is usually associated with episodes of psychosis, seizures, dependence, organ toxicity and death. Due to their ever-changing structure, very limited or nil structural, pharmacological, and toxicological information is available to the scientific community and the law enforcement offices. Here we report the synthesis and pharmacological evaluation (binding and functional) of the largest and most diverse collection of enantiopure SCRAs published to date. Our results revealed novel SCRAs that could be (or may currently be) used as illegal psychoactive substances. We also report, for the first time, the cannabimimetic data of 32 novel SCRAs containing an (R) configuration at the stereogenic center. The systematic pharmacological profiling of the library enabled the identification of emerging Structure-Activity Relationship (SAR) and Structure-Selectivity Relationship (SSR) trends, the detection of ligands exhibiting incipient cannabinoid receptor type 2 (CB2R) subtype selectivity and highlights the significant neurotoxicity of representative SCRAs on mouse primary neuronal cells. Several of the new emerging SCRAs are currently expected to have a rather limited potential for harm, as the evaluation of their pharmacological profiles revealed lower potencies and/or efficacies. Conceived as a resource to foster collaborative investigation of the physiological effects of SCRAs, the library obtained can contribute to addressing the challenge posed by recreational designer drugsThis work was financially supported by the Consellería de Cultura, Educación e Ordenación Universitaria of the Galician Government: (grant: ED431B 2020/43), Centro Singular de Investigación de Galicia accreditation 2019–2022 (ED431G 2019/03), Ministerio de Ciencia e Innovación (PID2020-113430RB-I00) and the European Regional Development Fund (ERDF)S

A Novel NMDA Receptor Antagonist Protects against Cognitive Decline Presented by Senescent Mice

Alzheimer’s disease (AD) is the leading cause of dementia. Non-competitive N-Methyl-D-aspartate (NMDA) receptor antagonist memantine improved cognition and molecular alterations after preclinical treatment. Nevertheless, clinical results are discouraging. In vivo efficacy of the RL-208, a new NMDA receptor blocker described recently, with favourable pharmacokinetic properties was evaluated in Senescence accelerated mice prone 8 (SAMP8), a mice model of late-onset AD (LOAD). Oral administration of RL-208 improved cognitive performance assessed by using the three chamber test (TCT), novel object recognition test (NORT), and object location test (OLT). Consistent with behavioural results, RL-208 treated-mice groups significantly changed NMDAR2B phosphorylation state levels but not NMDAR2A. Calpain-1 and Caspase-3 activity was reduced, whereas B-cell lymphoma-2 (BCL-2) levels increased, indicating reduced apoptosis in RL-208 treated SAMP8. Superoxide Dismutase 1 (SOD1) and Glutathione Peroxidase 1 (GPX1), as well as a reduction of hydrogen peroxide (H2O2), was also determined in RL-208 mice. RL-208 treatment induced an increase in mature brain-derived neurotrophic factor (mBDNF), prevented Tropomyosin-related kinase B full-length (TrkB-FL) cleavage, increased protein levels of Synaptophysin (SYN) and Postsynaptic density protein 95 (PSD95). In whole, these results point out to an improvement in synaptic plasticity. Remarkably, RL-208 also decreased the protein levels of Cyclin-Dependent Kinase 5 (CDK5), as well as p25/p35 ratio, indicating a reduction in kinase activity of CDK5/p25 complex. Consequently, lower levels of hyperphosphorylated Tau (p-Tau) were found. In sum, these results demonstrate the neuroprotectant role of RL-208 through NMDAR blockadeThis research was funded by Ministerio de Economía, Industria y Competitividad (Agencia Estatal de Investigación, AEI) and Fondo Europeo de Desarrollo Regional (MINECO-FEDER) (Projects SAF2017-82771-R, SAF2016-77703, SAF2015-68749 and SAF2017-90913), Xunta de Galicia (ED431C 2018/21) and Generalitat de Catalunya (2017 SGR 106)S

8‐Aminomethyl‐7‐hydroxy‐4‐methylcoumarins as Multitarget Leads for Alzheimer's Disease

This is the peer reviewed version of the following article: Domínguez, J., Fernández-Nieto, F., Brea, J., Catto, M., Paleo, M., & Porto, S. et al. (2016). 8-Aminomethyl-7-hydroxy-4-methylcoumarins as Multitarget Leads for Alzheimer's Disease. Chemistryselect, 1(11), 2742-2749, which has been published in final form at https://doi.org/10.1002/slct.201600735. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived VersionsThis work is part of our ongoing research in the discovery of multitarget therapeutic agents for Alzheimer's disease (AD). A literature screening, based on our recently proposed pharmacophore, led to the identification of 8‐aminomethyl‐7‐hydroxy‐4‐methyl coumarins as potential multitarget leads for AD. The results of a computer‐assisted protocol developed by us to validate multitarget hits for AD indicated that our coumarin candidates were viable leads only for AChE inhibition as later validated by biological assays. The results of BChE binding and propidium displacement assays indicate that our first generation compounds bind to the PAS site in AChE. We designed new generations of coumarin derivatives with a longer substituent at position 8 aimed at leads with more efficient interaction at the catalytic anionic site (CAS). Inhibition data and docking simulations indicated that an anilino‐capping group reached the CAS region of AChE and determined also a higher inhibitory potency towards BChE. The best compound obtained, with a N‐benzylpiperidine fragment, displayed sub‐micromolar affinity for AChE, affinity for BChE, and precluded Aβ‐amyloid aggregation with a potency similar to that of 9,10‐anthraquinone, making it a multitarget lead viable for further improvementFinancial support from the Ministerio de Economia y Competitividad of Spain (Project CTQ2014‐55208‐P) and the Xunta de Galicia (10CSA209063PR and GRC2014/029) is gratefully acknowledged. The Italian authors thank the University of Bari for partial financial support (Fondi di Ateneo 2014–2015)S

High-affinity sequence-selective DNA binding by iridium(III) polypyridyl organometallopeptides

We demonstrate the application of solid-phase peptide synthesis methods for the straightforward assembly of polynuclear Ir(III) organometallopeptides, and show that their oligoarginine derivatives exhibit high DNA binding affinity, sequence selectivity, and high cytotoxicity towards a set of cancer cell lines