RESUMO
The trimethylguanosine (TMG) cap is a motif present inter alia at the 5' end of small nuclear RNAs, which are involved in RNA splicing. The TMG cap plays a crucial role in RNA processing and stability as it protects the RNA molecule from degradation by exonucleases and facilitates its export from the nucleus. Additionally, the TMG cap plays a role in the recognition of snRNA by snurportin, a protein that facilitates nuclear import. TMG cap analogs are used in biochemical experiments as molecular tools to substitute the natural TMG cap. To expand the range of available TMG-based tools, here we conjugated the TMG cap to Fluorescent Molecular Rotors (FMRs) to open the possibility of detecting protein-ligand interactions in vitro and, potentially, in vivo, particularly visualizing interactions with snurportin. Consequently, we report the synthesis of 34 differently modified TMG cap-FMR conjugates and their evaluation as molecular probes for snurportin. As FMRs we selected three GFP-like chromophores (derived from green fluorescent protein) and one julolidine derivative. The evaluation of binding affinities for snurportin showed unexpectedly a strong stabilizing effect for TMGpppG-derived dinucleotides containing the FMR at the 2'-O-position of guanosine. These newly discovered compounds are potent snurportin ligands with nanomolar KD (dissociation constant) values, which are two orders of magnitude lower than that of natural TMGpppG. The effect is diminished by â¼50-fold for the corresponding 3'-regioisomers. To deepen the understanding of the structure-activity relationship, we synthesized and tested FMR conjugates lacking the TMG cap moiety. These studies, supported by molecular docking, suggested that the enhanced affinity arises from additional hydrophobic contacts provided by the FMR moiety. The strongest snurportin ligand, which also gave the greatest fluorescence enhancement (Fm/F0) when saturated with the protein, were tested in living cells to detect interactions and visualize complexes by fluorescence lifetime monitoring. This approach has potential applications in the study of RNA processing and RNA-protein interactions.
Assuntos
Corantes Fluorescentes , Guanosina , Ligantes , Humanos , Corantes Fluorescentes/química , Corantes Fluorescentes/síntese química , Guanosina/análogos & derivados , Guanosina/química , Guanosina/metabolismo , Análogos de Capuz de RNA/química , Análogos de Capuz de RNA/síntese química , Análogos de Capuz de RNA/metabolismo , Células HeLa , Estrutura MolecularRESUMO
Pteridine reductase 1 (PTR1) is a folate and pterin pathway enzyme unique for pathogenic trypanosomatids. As a validated drug target, PTR1 has been the focus of recent research efforts aimed at finding more effective treatments against human parasitic diseases such as leishmaniasis or sleeping sickness. Previous PTR1-centered structural studies highlighted the enzyme characteristics, such as flexible regions around the active site, highly conserved structural waters, and species-specific differences in pocket properties and dynamics, which likely impacts the binding of natural substrates and inhibitors. Furthermore, several aspects of the PTR1 function, such as the substrate inhibition phenomenon and the level of ligand binding cooperativity in the enzyme homotetramer, likely related to the global enzyme dynamics, are poorly known at the molecular level. We postulate that future drug design efforts could greatly benefit from a better understanding of these phenomena through studying both the local and global PTR1 dynamics. This review highlights the key aspects of the PTR1 structure and dynamics relevant to structure-based drug design that could be effectively investigated by modeling approaches. Particular emphasis is given to the perspective of molecular dynamics, what has been accomplished in this area to date, and how modeling could impact the PTR1-targeted drug design in the future.
Assuntos
Desenho de Fármacos , Oxirredutases , Humanos , Oxirredutases/química , Simulação de Dinâmica Molecular , Inibidores Enzimáticos/farmacologiaRESUMO
Mitochondrial fatty acid synthesis (mtFAS) is essential for respiratory function. MtFAS generates the octanoic acid precursor for lipoic acid synthesis, but the role of longer fatty acid products has remained unclear. The structurally well-characterized component of mtFAS, human 2E-enoyl-ACP reductase (MECR) rescues respiratory growth and lipoylation defects of a Saccharomyces cerevisiae Δetr1 strain lacking native mtFAS enoyl reductase. To address the role of longer products of mtFAS, we employed in silico molecular simulations to design a MECR variant with a shortened substrate binding cavity. Our in vitro and in vivo analyses indicate that the MECR G165Q variant allows synthesis of octanoyl groups but not long chain fatty acids, confirming the validity of our computational approach to engineer substrate length specificity. Furthermore, our data imply that restoring lipoylation in mtFAS deficient yeast strains is not sufficient to support respiration and that long chain acyl-ACPs generated by mtFAS are required for mitochondrial function.
Assuntos
Mitocôndrias , Oxirredutases , Humanos , Ácidos Graxos/metabolismo , Mitocôndrias/genética , Mitocôndrias/metabolismo , Oxirredutases/metabolismo , Respiração , Saccharomyces cerevisiae/genética , Saccharomyces cerevisiae/metabolismo , Enoil-(Proteína de Transporte de Acila) Redutase (NADH)RESUMO
INTRODUCTION: Trypanosomatidic parasitic infections in humans and animals caused by Trypanosoma brucei, Trypanosoma cruzi, and Leishmania species pose a significant health and economic burden in developing countries. There are few effective and accessible treatments for these diseases, and the existing therapies suffer from problems, such as parasite resistance and side effects. Structure-based drug design (SBDD) is one of the strategies that has been applied to discover new compounds targeting trypanosomatid-borne diseases. AREAS COVERED: We review the current literature (mostly over the last 5 years, searched in the PubMed database on 11 November 2021) on the application of structure-based drug design approaches to identify new anti-trypanosomatidic compounds that interfere with a validated target biochemical pathway, the trypanosomatid folate pathway. EXPERT OPINION: The application of structure-based drug design approaches to perturb the trypanosomatid folate pathway has successfully provided many new inhibitors with good selectivity profiles, most of which are natural products or their derivatives or have scaffolds of known drugs. However, the inhibitory effect against the target protein(s) often does not translate to anti-parasitic activity. Further progress is hampered by our incomplete understanding of parasite biology and biochemistry, which is necessary to complement SBDD in a multiparameter optimization approach to discovering selective anti-parasitic drugs.
Assuntos
Produtos Biológicos , Trypanosoma brucei brucei , Trypanosoma cruzi , Animais , Produtos Biológicos/farmacologia , Desenho de Fármacos , Ácido Fólico/farmacologia , HumanosRESUMO
The optimization of compounds with multiple targets is a difficult multidimensional problem in the drug discovery cycle. Here, we present a systematic, multidisciplinary approach to the development of selective antiparasitic compounds. Computational fragment-based design of novel pteridine derivatives along with iterations of crystallographic structure determination allowed for the derivation of a structure-activity relationship for multitarget inhibition. The approach yielded compounds showing apparent picomolar inhibition of T. brucei pteridine reductase 1 (PTR1), nanomolar inhibition of L. major PTR1, and selective submicromolar inhibition of parasite dihydrofolate reductase (DHFR) versus human DHFR. Moreover, by combining design for polypharmacology with a property-based on-parasite optimization, we found three compounds that exhibited micromolar EC50 values against T. brucei brucei while retaining their target inhibition. Our results provide a basis for the further development of pteridine-based compounds, and we expect our multitarget approach to be generally applicable to the design and optimization of anti-infective agents.
Assuntos
Leishmania major , Oxirredutases , Tetra-Hidrofolato Desidrogenase , Trypanosoma brucei brucei , Leishmania major/efeitos dos fármacos , Leishmania major/enzimologia , Oxirredutases/antagonistas & inibidores , Oxirredutases/metabolismo , Pteridinas/química , Pteridinas/farmacologia , Relação Estrutura-Atividade , Tetra-Hidrofolato Desidrogenase/metabolismo , Trypanosoma brucei brucei/efeitos dos fármacos , Trypanosoma brucei brucei/enzimologiaRESUMO
Cytosolic nucleotidases (cNs) catalyze dephosphorylation of nucleoside 5'-monophosphates and thereby contribute to the regulation of nucleotide levels in cells. cNs have also been shown to dephosphorylate several therapeutically relevant nucleotide analogues. cN-IIIB has shown in vitro a distinctive activity towards 7-mehtylguanosine monophosphate (m7GMP), which is one key metabolites of mRNA cap. Consequently, it has been proposed that cN-IIIB participates in mRNA cap turnover and prevents undesired accumulation and salvage of m7GMP. Here, we sought to develop molecular tools enabling more advanced studies on the cellular role of cN-IIIB. To that end, we performed substrate and inhibitor property profiling using a library of 41 substrate analogs. The most potent hit compounds (identified among m7GMP analogs) were used as a starting point for structure-activity relationship studies. As a result, we identified several 7-benzylguanosine 5'-monophosphate (Bn7GMP) derivatives as potent, unhydrolyzable cN-IIIB inhibitors. The mechanism of inhibition was elucidated using X-ray crystallography and molecular docking. Finally, we showed that compounds that potently inhibit recombinant cN-IIIB have the ability to inhibit m7GMP decay in cell lysates.
RESUMO
According to the World Health Organization, more than 1 billion people are at risk of or are affected by neglected tropical diseases. Examples of such diseases include trypanosomiasis, which causes sleeping sickness; leishmaniasis; and Chagas disease, all of which are prevalent in Africa, South America, and India. Our aim within the New Medicines for Trypanosomatidic Infections project was to use (1) synthetic and natural product libraries, (2) screening, and (3) a preclinical absorption, distribution, metabolism, and excretion-toxicity (ADME-Tox) profiling platform to identify compounds that can enter the trypanosomatidic drug discovery value chain. The synthetic compound libraries originated from multiple scaffolds with known antiparasitic activity and natural products from the Hypha Discovery MycoDiverse natural products library. Our focus was first to employ target-based screening to identify inhibitors of the protozoan Trypanosoma brucei pteridine reductase 1 ( TbPTR1) and second to use a Trypanosoma brucei phenotypic assay that made use of the T. brucei brucei parasite to identify compounds that inhibited cell growth and caused death. Some of the compounds underwent structure-activity relationship expansion and, when appropriate, were evaluated in a preclinical ADME-Tox assay panel. This preclinical platform has led to the identification of lead-like compounds as well as validated hits in the trypanosomatidic drug discovery value chain.
Assuntos
Descoberta de Drogas/métodos , Tripanossomicidas/análise , Tripanossomicidas/farmacologia , Tripanossomíase/tratamento farmacológico , Produtos Biológicos/química , Humanos , Relação Estrutura-Atividade , Tripanossomicidas/uso terapêuticoRESUMO
Allosteric regulation plays an important role in many biological processes, such as signal transduction, transcriptional regulation, and metabolism. Allostery is rooted in the fundamental physical properties of macromolecular systems, but its underlying mechanisms are still poorly understood. A collection of contributions to a recent interdisciplinary CECAM (Center Européen de Calcul Atomique et Moléculaire) workshop is used here to provide an overview of the progress and remaining limitations in the understanding of the mechanistic foundations of allostery gained from computational and experimental analyses of real protein systems and model systems. The main conceptual frameworks instrumental in driving the field are discussed. We illustrate the role of these frameworks in illuminating molecular mechanisms and explaining cellular processes, and describe some of their promising practical applications in engineering molecular sensors and informing drug design efforts.
Assuntos
Sítio Alostérico , Técnicas Biossensoriais , Desenho de Fármacos , Proteínas/química , Regulação Alostérica , Animais , Regulação da Expressão Gênica , Humanos , Redes e Vias Metabólicas , Simulação de Dinâmica Molecular , Proteínas/genética , Proteínas/metabolismo , Transdução de Sinais , Termodinâmica , Transcrição GênicaRESUMO
BACKGROUND: Multi-target approaches are necessary to properly analyze or modify the function of a biochemical pathway or a protein family. An example of such a problem is the repurposing of the known human anti-cancer drugs, antifolates, as selective anti-parasitic agents. This requires considering a set of experimentally validated protein targets in the folate pathway of major pathogenic trypanosomatid parasites and humans: (i) the primary parasite on-targets: pteridine reductase 1 (PTR1) (absent in humans) and bifunctional dihydrofolate reductase-thymidylate synthase (DHFR-TS), (ii) the primary off-targets: human DHFR and TS, and (iii) the secondary on-target: human folate receptor ß, a folate/antifolate transporter. METHODS: We computationally compared the structural, dynamic and physico-chemical properties of the targets. We based our analysis on available inhibitory activity and crystallographic data, including a crystal structure of the bifunctional T. cruzi DHFR-TS with tetrahydrofolate bound determined in this work. Due to the low sequence and structural similarity of the targets analyzed, we employed a mapping of binding pockets based on the known common ligands, folate and methotrexate. RESULTS: Our analysis provides a set of practical strategies for the design of selective trypanosomatid folate pathway inhibitors, which are supported by enzyme inhibition measurements and crystallographic structures. CONCLUSIONS: The ligand-based comparative computational mapping of protein binding pockets provides a basis for repurposing of anti-folates and the design of new anti-trypanosmatid agents. GENERAL SIGNIFICANCE: Apart from the target-based discovery of selective compounds, our approach may be also applied for protein engineering or analyzing evolutionary relationships in protein families.
Assuntos
Descoberta de Drogas , Antagonistas do Ácido Fólico/farmacologia , Complexos Multienzimáticos/antagonistas & inibidores , Oxirredutases/antagonistas & inibidores , Timidilato Sintase/antagonistas & inibidores , Tripanossomicidas/farmacologia , Sítios de Ligação , Cristalografia , Humanos , Complexos Multienzimáticos/química , Oxirredutases/química , Tetra-Hidrofolato Desidrogenase/química , Timidilato Sintase/química , Trypanosoma cruzi/efeitos dos fármacos , Trypanosoma cruzi/enzimologiaRESUMO
There is a need for improved and generally applicable scoring functions for fragment-based approaches to ligand design. Here, we evaluate the performance of a computationally efficient model for inhibitory activity estimation, which is composed only of multipole electrostatic energy and dispersion energy terms that approximate long-range ab initio quantum mechanical interaction energies. We find that computed energies correlate well with inhibitory activity for a compound series with varying substituents targeting two subpockets of the binding site of Trypanosoma brucei pteridine reductase 1. For one subpocket, we find that the model is more predictive for inhibitory activity than the ab initio interaction energy calculated at the MP2 level. Furthermore, the model is found to outperform a commonly used empirical scoring method. Finally, we show that the results for the two subpockets can be combined, which suggests that this simple nonempirical scoring function could be applied in fragment-based drug design.