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Viral diseases are expected to cause new epidemics in the future, therefore, it is essential to assess how viral diversity is represented in terms of deposited protein structures. Here, data were collected from the Protein Data Bank to screen the available structures of viruses of interest to WHO. Excluding SARS-CoV-2 and HIV-1, less than 50 structures were found per year, indicating a lack of diversity. Efforts to determine viral structures are needed to increase preparedness for future public health challenges.
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Proteínas , SARS-CoV-2 , Proteínas/química , Bases de Dados de ProteínasRESUMO
Hymenopterans are an untapped source of venom secretions. Their recent proteo-transcriptomic studies have revealed an extraordinary pool of toxins that participate in various biological processes, including pain, paralysis, allergic reactions, and antimicrobial activities. Comprehensive and clade-specific campaigns to collect hymenopteran venoms are therefore needed. We consider that data-driven bioprospecting may help prioritise sampling and alleviate associated costs. This work established the current protein landscape from hymenopteran venoms to evaluate possible sample bias by studying their origins, sequence diversity, known structures, and biological functions. We collected all 282 reported hymenopteran toxins (peptides and proteins) from the UniProt database that we clustered into 21 protein families from the three studied clades - wasps, bees, and ants. We identified 119 biological targets of hymenopteran toxins ranging from pathogen membranes to eukaryotic proteases, ion channels and protein receptors. Our systematic study further extended to hymenopteran toxins' therapeutic and biotechnological values, where we revealed promising applications in crop pests, human infections, autoimmune diseases, and neurodegenerative disorders.
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Eleutherine plicata has been shown to be a promising medicinal plant, and its activity has been associated with naphthoquinones. The present study aimed at evaluating the cytotoxicity, genotoxicity, and oral toxicity of the ethanol extract (EEEp), dichloromethane fraction (FDMEp) of E. plicata, and isoeleutherin. For the cytotoxicity evaluation, the viability test (MTT) was used. Genotoxicity was accessed through the Comet assay (alkaline version), acute and subacute oral toxicities were also evaluated. The antioxidant capacity of the samples in the wells where the cells were treated with E. plicata was evaluated. Furthermore, the participation of caspase-8 in the possible mechanism of action of isoeleutherin, eleutherin, and eleutherol was also investigated through a docking study. FDMEp and isoeleutherin were cytotoxic, with higher rates of DNA fragmentation observed for FDMEp and isoeleutherin, and all samples displayed higher antioxidant potential than the control. In the acute oral toxicity test, EEEp, FDMEp, and isoeleutherin did not cause significant clinical changes. In the subacute toxicity assay, EEEp and FDMEp also did not cause clinical, hematological, or biochemical changes. The three compounds bound similarly to caspase-8. Despite the results of cytotoxicity, in vitro studies demonstrated that the use of EEEp appears to be safe and cell death may involve its binding to caspase-8.
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Defensins are small proteins, usually ranging from 3 to 6 kDa, amphipathic, disulfide-rich, and with a small or even absent hydrophobic core. Since a hydrophobic core is generally found in globular proteins that fold in an aqueous solvent, the peculiar fold of defensins can challenge tertiary protein structure predictors. We performed a Protein Data Bank survey of small proteins (3-6 kDa) to understand the similarities of defensins with other small disulfide-rich proteins. We found no differences when we compared defensins with non-defensins regarding the proportion of apolar, polar and charged residues and their exposure to the solvent. Then we divided all small proteins (3-6 kDa) in the Protein Data Bank into two groups, one group with at least one disulfide bond (bonded, defensins included) and another group without any disulfide bond (unbonded). The group of bonded proteins contained apolar residues more exposed to the solvent than the unbonded group. The ab initio algorithm for tertiary protein structure prediction Robetta was more accurate at predicting unbonded than bonded proteins. On the other hand, the trRosetta algorithm, which uses artificial intelligence, improved the prediction of most bonded proteins, while for the unbonded group no improvement was obtained. Our work highlights one more layer of complexity for the prediction of protein tertiary structure: The ability of small disulfide-rich proteins to fold even with a poorly hydrophobic core.
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BACKGROUND: In the field of protein engineering and biotechnology, the discovery and characterization of structural patterns is highly relevant as these patterns can give fundamental insights into protein-ligand interaction and protein function. This paper presents GSP4PDB, a bioinformatics web tool that enables the user to visualize, search and explore protein-ligand structural patterns within the entire Protein Data Bank. RESULTS: We introduce the notion of graph-based structural pattern (GSP) as an abstract model for representing protein-ligand interactions. A GSP is a graph where the nodes represent entities of the protein-ligand complex (amino acids and ligands) and the edges represent structural relationships (e.g. distances ligand - amino acid). The novel feature of GSP4PDB is a simple and intuitive graphical interface where the user can "draw" a GSP and execute its search in a relational database containing the structural data of each PDB entry. The results of the search are displayed using the same graph-based representation of the pattern. The user can further explore and analyse the results using a wide range of filters, or download their related information for external post-processing and analysis. CONCLUSIONS: GSP4PDB is a user-friendly and efficient application to search and discover new patterns of protein-ligand interaction.
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Ligantes , Proteínas/metabolismo , Interface Usuário-Computador , Animais , Bases de Dados de Proteínas , Humanos , Ligação de Hidrogênio , Mapas de Interação de Proteínas , Estrutura Secundária de Proteína , Estrutura Terciária de Proteína , Proteínas/química , Dedos de ZincoRESUMO
Histone deacetylases (HDACs) are a family of proteins whose main function is the removal of acetyl groups from lysine residues located on histone and non-histone substrates, which regulates gene transcription and other activities in cells. HDAC1 dysfunction has been implicated in cancer development and progression; thus, its inhibition has emerged as a new therapeutic strategy. Two additional metal binding sites (Site 1 and Site 2) in HDACs have been described that are primarily occupied by potassium ions, suggesting a possible structural role that affects HDAC activity. In this work, we explored the structural role of potassium ions in Site 1 and Site 2 and how they affect the interactions of compounds with high affinities for HDAC1 (AC1OCG0B, Chlamydocin, Dacinostat and Quisinostat) and SAHA (a pan-inhibitor) using molecular docking and molecular dynamics (MD) simulations in concert with a Molecular-Mechanics-Generalized-Born-Surface-Area (MMGBSA) approach. Four models were generated: one with a potassium ion (K+) in both sites (HDAC1k), a second with K+ only at site 1 (HDAC1ks1), a third with K+ only at site 2 (HDAC1ks2) and a fourth with no K+ (HDAC1wk). We found that the presence or absence of K+ not only impacted the structural flexibility of HDAC1, but also its molecular recognition, consistent with experimental findings. These results could therefore be useful for further structure-based drug design studies addressing new HDAC1 inhibitors.
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Histona Desacetilase 1/antagonistas & inibidores , Histona Desacetilase 1/química , Simulação de Acoplamento Molecular , Simulação de Dinâmica Molecular , Sequência de Aminoácidos , Sítios de Ligação , Desenho de Fármacos , Inibidores de Histona Desacetilases/química , Inibidores de Histona Desacetilases/farmacologia , Concentração Inibidora 50 , Ligantes , TermodinâmicaRESUMO
Galantamine (Gnt) is a natural alkaloid inhibitor of acetylcholinesterase and is presently one of the most used drugs in the treatment against Alzheimer's disease during both the initial and intermediate stages. Among several natural Gnt derivatives, sanguinine (Sng) and lycoramine (Lyc) attract attention because of the way their subtle chemical differences from Gnt lead to drastic and opposite distinctions in inhibitory effects. However, to date, there is no solved structure for these natural derivatives. In the present study, we applied computational modeling and free energy calculation methods to better elucidate the molecular basis of the subtle distinctions between these derivatives and Gnt. The results showed that differences in the mobility of the non-aromatic ring carried by the Lyc-like sp2-sp3 modification display drastic conformational, vibrational, and entropic penalties at binding compared to Gnt. Additionally, the establishment of a stronger hydrogen bond network added enthalpic advantages for the linkage of the Sng-like methoxy-hydroxy substituted ligands. These results, which suggest an affinity ranking in agreement with that found in the literature, provided insights that are helpful for future planning and development of new anti-Alzheimer's disease drugs.
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Acetilcolinesterase/química , Inibidores da Colinesterase/química , Conformação Molecular , Simulação de Acoplamento Molecular , Simulação de Dinâmica Molecular , Doença de Alzheimer/tratamento farmacológico , Sítios de Ligação , Domínio Catalítico , Inibidores da Colinesterase/farmacologia , Humanos , Ligação de Hidrogênio , Ligantes , Estrutura Molecular , Ligação ProteicaRESUMO
Farnesoid X receptor (FXR) is a nuclear receptor related to lipid and glucose homeostasis and is considered an important molecular target to treatment of metabolic diseases as diabetes, dyslipidemia, and liver cancer. Nowadays, there are several FXR agonists reported in the literature and some of it in clinical trials for liver disorders. Herein, a compound series was employed to generate QSAR models to better understand the structural basis for FXR activation by anthranilic acid derivatives (AADs). Furthermore, here we evaluate the inclusion of the standard deviation (SD) of EC50 values in QSAR models quality. Comparison between the use of experimental variance plus average values in model construction with the standard method of model generation that considers only the average values was performed. 2D and 3D QSAR models based on the AAD data set including SD values showed similar molecular interpretation maps and quality (Q2LOO, Q2(F2), and Q2(F3)), when compared to models based only on average values. SD-based models revealed more accurate predictions for the set of test compounds, with lower mean absolute error indices as well as more residuals near zero. Additionally, the visual interpretation of different QSAR approaches agrees with experimental data, highlighting key elements for understanding the biological activity of AADs. The approach using standard deviation values may offer new possibilities for generating more accurate QSAR models based on available experimental data.
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Receptores Citoplasmáticos e Nucleares/química , ortoaminobenzoatos/química , Humanos , Isoxazóis/química , Modelos Moleculares , Simulação de Acoplamento Molecular , Relação Quantitativa Estrutura-AtividadeRESUMO
The electrostatic potential plays a key role in many biological processes like determining the affinity of a ligand to a given protein target, and they are responsible for the catalytic activity of many enzymes. Understanding the effect that amino acid mutations will have on the electrostatic potential of a protein, will allow a thorough understanding of which residues are the most important in a protein. MutantElec, is a friendly web application for in silico generation of site-directed mutagenesis of proteins and the comparison of electrostatic potential between the wild type protein and the mutant(s), based on the three-dimensional structure of the protein. The effect of the mutation is evaluated using different approach to the traditional surface map. MutantElec provides a graphical display of the results that allows the visualization of changes occurring at close distance from the mutation and thus uncovers the local and global impact of a specific change. © 2017 Wiley Periodicals, Inc.
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Simulação por Computador , Proteínas Mutantes/química , Proteínas Mutantes/genética , Mutação , Eletricidade Estática , Aminoácidos/química , Aminoácidos/genética , Ligantes , Simulação de Dinâmica Molecular , Mutagênese Sítio-Dirigida , Interface Usuário-ComputadorRESUMO
Human ß-defensins (hBDs) are believed to function as alarm molecules that stimulate the adaptive immune system when a threat is present. In addition to its antimicrobial activity, defensins present other activities such as chemoattraction of a range of different cell types to the sites of inflammation. We have solved the structure of the hBD6 by NMR spectroscopy that contains a conserved ß-defensin domain followed by an extended C-terminus. We use NMR to monitor the interaction of hBD6 with microvesicles shed by breast cancer cell lines and with peptides derived from the extracellular domain of CC chemokine receptor 2 (Nt-CCR2) possessing or not possessing sulfation on Tyr26 and Tyr28. The NMR-derived model of the hBD6/CCR2 complex reveals a contiguous binding surface on hBD6, which comprises amino acid residues of the α-helix and ß2-ß3 loop. The microvesicle binding surface partially overlaps with the chemokine receptor interface. NMR spin relaxation suggests that free hBD6 and the hBD6/CCR2 complex exhibit microsecond-to-millisecond conformational dynamics encompassing the CCR2 binding site, which might facilitate selection of the molecular configuration optimal for binding. These data offer new insights into the structure-function relation of the hBD6-CCR2 interaction, which is a promising target for the design of novel anticancer agents.
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Receptores CCR2/química , beta-Defensinas/química , Sequência de Aminoácidos , Sítios de Ligação , Neoplasias da Mama/metabolismo , Linhagem Celular Tumoral , Vesículas Citoplasmáticas/química , Vesículas Citoplasmáticas/metabolismo , Feminino , Humanos , Modelos Moleculares , Simulação de Acoplamento Molecular , Simulação de Dinâmica Molecular , Dados de Sequência Molecular , Complexos Multiproteicos/química , Ressonância Magnética Nuclear Biomolecular , Ligação Proteica , Conformação Proteica , Multimerização Proteica , Receptores CCR2/metabolismo , beta-Defensinas/metabolismoRESUMO
Schistosomiasis is a serious public health problem in Brazil and worldwide. Although the drugs used to treatment schistosomiasis are effective, the disease continues to expand in all endemic countries due to constant reinfection, poor sanitation, and the lack of effective programs for disease control. However, advances generated through genome projects have provided important information that has improved the understanding of the biology of this parasite. These advances, associated with the advent of bioinformatic analysis, are becoming an important tool in reverse vaccinology. Through database access to the DNA and protein sequences of Schistosoma mansoni and the use of bioinformatics programs, fourteen epitopes were identified. Five epitopes were obtained from proteins whose immunogenic potential had already been assessed in other studies (KP), and nine whose immunogenic potential is unknown (UP). To improve stimulation of the host immune system, the selected epitopes were modeled with a sugar moiety. After this addition, all of the epitopes showed structures similar to those observed in the native proteins, but only eleven of the peptides presented thermodynamically stable structures. Prediction analysis and molecular modeling showed that the glycopeptides presented here are important targets in the search for a vaccine against schistosomiasis. Additionally, they suggest that these molecules may be used in immunological assays to evaluate the level of protection, the effect on pathology reduction and the profile of cytokines and antibodies induced by them.
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Epitopos/imunologia , Vacinas Protozoárias/imunologia , Schistosoma mansoni/imunologia , Esquistossomose mansoni/prevenção & controle , Sequência de Aminoácidos , Animais , Anticorpos Anti-Helmínticos/imunologia , Antígenos de Helmintos/genética , Antígenos de Helmintos/imunologia , Biologia Computacional , Bases de Dados de Ácidos Nucleicos , Bases de Dados de Proteínas , Epitopos/genética , Proteínas de Helminto/genética , Proteínas de Helminto/imunologia , Humanos , Modelos Moleculares , Dados de Sequência Molecular , Schistosoma mansoni/genética , Esquistossomose mansoni/genética , Esquistossomose mansoni/imunologia , Transdução de Sinais/genética , Transdução de Sinais/imunologiaRESUMO
Peroxisome proliferator-activated receptors (PPARs) are members of a superfamily of nuclear transcription factors. They are involved in mediating numerous physiological effects in humans, including glucose and lipid metabolism. PPARα ligands effectively treat dyslipidemia and have significant antiinflammatory and anti-atherosclerotic activities. These effects and their ligand-dependent activity make nuclear receptors obvious targets for drug design. Here, we present the structure of the human PPARα in complex with WY14643, a member of fibrate class of drug, and a widely used PPAR activator. The crystal structure of this complex suggests that WY14643 induces activation of PPARα in an unusual bipartite mechanism involving conventional direct helix 12 stabilization and an alternative mode that involves a second ligand in the pocket. We present structural observations, molecular dynamics and activity assays that support the importance of the second site in WY14643 action. The unique binding mode of WY14643 reveals a new pattern of nuclear receptor ligand recognition and suggests a novel basis for ligand design, offering clues for improving the binding affinity and selectivity of ligand. We show that binding of WY14643 to PPARα was associated with antiinflammatory disease in a human corneal cell model, suggesting possible applications for PPARα ligands.
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PPAR alfa/agonistas , PPAR alfa/química , Pirimidinas/química , Pirimidinas/metabolismo , Anti-Inflamatórios/química , Anti-Inflamatórios/metabolismo , Células Cultivadas , Cristalografia por Raios X , Relação Dose-Resposta a Droga , Humanos , Interleucina-6/metabolismo , Interleucina-8/metabolismo , Cinética , Modelos Moleculares , Simulação de Dinâmica Molecular , Conformação ProteicaRESUMO
PDB-Metrics (http://sms.cbi.cnptia.embrapa.br/SMS/pdb_metrics/index.html) is a component of the Diamond STING suite of programs for the analysis of protein sequence, structure and function. It summarizes the characteristics of the collection of protein structure descriptions deposited in the Protein Data Bank (PDB) and provides a Web interface to search and browse the PDB, using a variety of alternative criteria. PDB-Metrics is a powerful tool for bioinformaticians to examine the data span in the PDB from several perspectives. Although other Web sites offer some similar resources to explore the PDB contents, PDB-Metrics is among those with the most complete set of such facilities, integrated into a single Web site. This program has been developed using SQLite, a C library that provides all the query facilities of a database management system