scholarly journals Discovery of Octahydroisoindolone as a Scaffold for the Selective Inhibition of Chitinase B1 from Aspergillus fumigatus: In Silico Drug Design Studies

Molecules ◽  
2021 ◽  
Vol 26 (24) ◽  
pp. 7606
Author(s):  
Alberto Marbán-González ◽  
Armando Hernández-Mendoza ◽  
Mario Ordóñez ◽  
Rodrigo Said Razo-Hernández ◽  
José Luis Viveros-Ceballos
Keyword(s):  
Aspergillus Fumigatus ◽  
Selective Inhibition ◽  
Bioinformatic Analysis ◽  
Fungal Cell ◽  
Consensus Sequences ◽  
In Silico Drug Design ◽  
Invasive Mycosis ◽  
Chitinase Inhibitors ◽  
Molecular Homology ◽  
Selection Of

Chitinases represent an alternative therapeutic target for opportunistic invasive mycosis since they are necessary for fungal cell wall remodeling. This study presents the design of new chitinase inhibitors from a known hydrolysis intermediate. Firstly, a bioinformatic analysis of Aspergillus fumigatus chitinase B1 (AfChiB1) and chitotriosidase (CHIT1) by length and conservation was done to obtain consensus sequences, and molecular homology models of fungi and human chitinases were built to determine their structural differences. We explored the octahydroisoindolone scaffold as a potential new antifungal series by means of its structural and electronic features. Therefore, we evaluated several synthesis-safe octahydroisoindolone derivatives by molecular docking and evaluated their AfChiB1 interaction profile. Additionally, compounds with the best interaction profile (1–5) were docked within the CHIT1 catalytic site to evaluate their selectivity over AfChiB1. Furthermore, we considered the interaction energy (MolDock score) and a lipophilic parameter (aLogP) for the selection of the best candidates. Based on these descriptors, we constructed a mathematical model for the IC50 prediction of our candidates (60–200 μM), using experimental known inhibitors of AfChiB1. As a final step, ADME characteristics were obtained for all the candidates, showing that 5 is our best designed hit, which possesses the best pharmacodynamic and pharmacokinetic character.

scholarly journals Development and Validation of a High-Resolution Melting Assay To Detect Azole Resistance in Aspergillus fumigatus

2017 ◽  
Vol 61 (12) ◽  
Author(s):  
L. Bernal-Martínez ◽  
H. Gil ◽  
O. Rivero-Menéndez ◽  
S. Gago ◽  
M. Cuenca-Estrella ◽  
...  
Keyword(s):  
High Resolution ◽  
Aspergillus Fumigatus ◽  
Tandem Repeats ◽  
High Resolution Melting ◽  
Screening Method ◽  
Melting Curve ◽  
Health Concern ◽  
Azole Resistance ◽  
Content Type ◽  
Selection Of

ABSTRACT The global emergence of azole-resistant Aspergillus fumigatus strains is a growing public health concern. Different patterns of azole resistance are linked to mutations in cyp51A. Therefore, accurate characterization of the mechanisms underlying azole resistance is critical to guide selection of the most appropriate antifungal agent for patients with aspergillosis. This study describes a new sequencing-free molecular screening tool for early detection of the most frequent mutations known to be associated with azole resistance in A. fumigatus. PCRs targeting cyp51A mutations at positions G54, Y121, G448, and M220 and targeting different tandem repeats (TRs) in the promoter region were designed. All PCRs were performed simultaneously, using the same cycling conditions. Amplicons were then distinguished using a high-resolution melting assay. For standardization, 30 well-characterized azole-resistant A. fumigatus strains were used, yielding melting curve clusters for different resistance mechanisms for each target and allowing detection of the most frequent azole resistance mutations, i.e., G54E, G54V, G54R, G54W, Y121F, M220V, M220I, M220T, M220K, and G448S, and the tandem repeats TR34, TR46, and TR53. Validation of the method was performed using a blind panel of 80 A. fumigatus azole-susceptible or azole-resistant strains. All strains included in the blind panel were properly classified as susceptible or resistant with the developed method. The implementation of this screening method can reduce the time needed for the detection of azole-resistant A. fumigatus isolates and therefore facilitate selection of the best antifungal therapy in patients with aspergillosis.

scholarly journals The integration preference of Sleeping Beauty at non-TA site is related to the transposon end sequences

2019 ◽  
Author(s):  
Yiting Zhou ◽  
Guangwei Ma ◽  
Jiawen Yang ◽  
Yabin Guo
Keyword(s):  
Site Selection ◽  
Genomic Dna ◽  
Consensus Sequence ◽  
Mouse Cell ◽  
Sleeping Beauty ◽  
Consensus Sequences ◽  
Target Site Selection ◽  
Target Sites ◽  
End Sequences ◽  
Selection Of

Abstract Background: Sleeping Beauty (SB) transposon had been thought to strictly integrate into TA dinucleotides. Recently, we found that SB also integrates into non-TA sites at a lower frequency. Here we performed further study on the non-TA integration of SB. Results: 1) SB can integrate into non-TA sites in HEK293T cells as well as in mouse cell lines. 2) Both the hyperactive transposase SB100X and the traditional SB11 catalyze integrations at non-TA sites. 3) The consensus sequence of the non-TA target sites only occur at the opposite side of the sequenced junction between transposon end and the genomic sequences, indicating that the integrations at non-TA sites are mainly aberrant integrations. 4) The consensus sequence of the non-TA target sites is corresponding to the transposon end sequence. When the transposon end sequence is mutated, the consensus sequences changed too. Conclusion: The interaction between the SB transposon end and genomic DNA may be involved in the target site selection of the SB integrations at non-TA sites.

scholarly journals Transcribing the heart: faithfully interpreting cardiac transcriptional insights

2019 ◽  
Vol 14 (9) ◽  
pp. 805-810
Author(s):  
Oscar Echeagaray ◽  
Mark A Sussman
Keyword(s):  
Regenerative Medicine ◽  
Single Cell ◽  
Transcriptional Profiling ◽  
Bioinformatic Analysis ◽  
Therapeutic Approaches ◽  
Improve Efficiency ◽  
Accurate Interpretation ◽  
Bioinformatic Approaches ◽  
Selection Of

Transcriptional profiling continues to produce phenotypical data essential for understanding of basic cardiac biology and required to improve efficiency of cardiac regenerative and therapeutic approaches after injury. Accurate interpretation of cardiac transcriptional data comes with the unique challenges of heart biology including cardiomyocyte morphology, cryopreservation of limited samples and adequate selection of transcriptional platform at a single-cell resolution. Consequently, development and implementation of novel transcriptional platforms and creative bioinformatic analysis are essential to resolve standing questions in the field of cardiac regenerative medicine. Targeted bioinformatic approaches, advancing technological access, increase technical availability and fostering communication between interdisciplinary groups is critical to improve therapeutic approaches and to overcome challenges inherent to transcriptomic cardiac research.

scholarly journals The Transcription Factor SomA Synchronously Regulates Biofilm Formation and Cell Wall Homeostasis in Aspergillus fumigatus

mBio ◽  
2020 ◽  
Vol 11 (6) ◽  
Author(s):  
Yuan Chen ◽  
Francois Le Mauff ◽  
Yan Wang ◽  
Ruiyang Lu ◽  
Donald C. Sheppard ◽  
...  
Keyword(s):  
Cell Wall ◽  
Transcription Factor ◽  
Aspergillus Fumigatus ◽  
Biofilm Formation ◽  
Wall Stress ◽  
Fungal Cell ◽  
Glucan Synthase ◽  
Content Type ◽  
Cell Wall Stress ◽  
Chitin Synthases

ABSTRACT Polysaccharides are key components of both the fungal cell wall and biofilm matrix. Despite having distinct assembly and regulation pathways, matrix exopolysaccharide and cell wall polysaccharides share common substrates and intermediates in their biosynthetic pathways. It is not clear, however, if the biosynthetic pathways governing the production of these polysaccharides are cooperatively regulated. Here, we demonstrate that cell wall stress promotes production of the exopolysaccharide galactosaminogalactan (GAG)-depend biofilm formation in the major fungal pathogen of humans Aspergillus fumigatus and that the transcription factor SomA plays a crucial role in mediating this process. A core set of SomA target genes were identified by transcriptome sequencing and chromatin immunoprecipitation coupled to sequencing (ChIP-Seq). We identified a novel SomA-binding site in the promoter regions of GAG biosynthetic genes agd3 and ega3, as well as its regulators medA and stuA. Strikingly, this SomA-binding site was also found in the upstream regions of genes encoding the cell wall stress sensors, chitin synthases, and β-1,3-glucan synthase. Thus, SomA plays a direct regulation of both GAG and cell wall polysaccharide biosynthesis. Consistent with these findings, SomA is required for the maintenance of normal cell wall architecture and compositions in addition to its function in biofilm development. Moreover, SomA was found to globally regulate glucose uptake and utilization, as well as amino sugar and nucleotide sugar metabolism, which provides precursors for polysaccharide synthesis. Collectively, our work provides insight into fungal adaptive mechanisms in response to cell wall stress where biofilm formation and cell wall homeostasis were synchronously regulated. IMPORTANCE The cell wall is essential for fungal viability and is absent from human hosts; thus, drugs disrupting cell wall biosynthesis have gained more attention. Caspofungin is a member of a new class of clinically approved echinocandin drugs to treat invasive aspergillosis by blocking β-1,3-glucan synthase, thus damaging the fungal cell wall. Here, we demonstrate that caspofungin and other cell wall stressors can induce galactosaminogalactan (GAG)-dependent biofilm formation in the human pathogen Aspergillus fumigatus. We further identified SomA as a master transcription factor playing a dual role in both biofilm formation and cell wall homeostasis. SomA plays this dual role by direct binding to a conserved motif upstream of GAG biosynthetic genes and genes involved in cell wall stress sensors, chitin synthases, and β-1,3-glucan synthase. Collectively, these findings reveal a transcriptional control pathway that integrates biofilm formation and cell wall homeostasis and suggest SomA as an attractive target for antifungal drug development.

scholarly journals Screening-based discovery of Aspergillus fumigatus plant-type chitinase inhibitors

FEBS Letters ◽  
2014 ◽  
Vol 588 (17) ◽  
pp. 3282-3290 ◽  
Author(s):  
Deborah E.A. Lockhart ◽  
Alexander Schuettelkopf ◽  
David E. Blair ◽  
Daan M.F. van Aalten
Keyword(s):  
Aspergillus Fumigatus ◽  
Plant Type ◽  
Chitinase Inhibitors

scholarly journals Genome-Based Bioinformatic Selection of Chromosomal Bacillus anthracis Putative Vaccine Candidates Coupled with Proteomic Identification of Surface-Associated Antigens

2003 ◽  
Vol 71 (8) ◽  
pp. 4563-4579 ◽  
Author(s):  
N. Ariel ◽  
A. Zvi ◽  
K. S. Makarova ◽  
T. Chitlaru ◽  
E. Elhanany ◽  
...  
Keyword(s):  
Bacillus Anthracis ◽  
Cellular Localization ◽  
Sequence Similarity ◽  
Selection Procedure ◽  
Bioinformatic Analysis ◽  
Genomic Research ◽  
Vaccine Candidates ◽  
Flight Mass Spectrometry ◽  
Selection Of

ABSTRACT Bacillus anthracis (Ames strain) chromosome-derived open reading frames (ORFs), predicted to code for surface exposed or virulence related proteins, were selected as B. anthracis-specific vaccine candidates by a multistep computational screen of the entire draft chromosome sequence (February 2001 version, 460 contigs, The Institute for Genomic Research, Rockville, Md.). The selection procedure combined preliminary annotation (sequence similarity searches and domain assignments), prediction of cellular localization, taxonomical and functional screen and additional filtering criteria (size, number of paralogs). The reductive strategy, combined with manual curation, resulted in selection of 240 candidate ORFs encoding proteins with putative known function, as well as 280 proteins of unknown function. Proteomic analysis of two-dimensional gels of a B. anthracis membrane fraction, verified the expression of some gene products. Matrix-assisted laser desorption ionization-time-of-flight mass spectrometry analyses allowed identification of 38 spots cross-reacting with sera from B. anthracis immunized animals. These spots were found to represent eight in vivo immunogens, comprising of EA1, Sap, and 6 proteins whose expression and immunogenicity was not reported before. Five of these 8 immunogens were preselected by the bioinformatic analysis (EA1, Sap, 2 novel SLH proteins and peroxiredoxin/AhpC), as vaccine candidates. This study demonstrates that a combination of the bioinformatic and proteomic strategies may be useful in promoting the development of next generation anthrax vaccine.

scholarly journals Glucan Synthase Complex of Aspergillus fumigatus

2001 ◽  
Vol 183 (7) ◽  
pp. 2273-2279 ◽  
Author(s):  
A. Beauvais ◽  
J. M. Bruneau ◽  
P. C. Mol ◽  
M. J. Buitrago ◽  
R. Legrand ◽  
...  
Keyword(s):  
Aspergillus Fumigatus ◽  
Germ Tube ◽  
Transmembrane Protein ◽  
Homologous Gene ◽  
Rho Proteins ◽  
Glucan Synthase ◽  
Consensus Sequences ◽  
Genes Encoding ◽  
First Time ◽  
Hydrophilic Domain

ABSTRACT The glucan synthase complex of the human pathogenic moldAspergillus fumigatus has been investigated. The genes encoding the putative catalytic subunit Fks1p and four Rho proteins ofA. fumigatus were cloned and sequenced. Sequence analysis showed that AfFks1p was a transmembrane protein very similar to other Fksp proteins in yeasts and in Aspergillus nidulans. Heterologous expression of the conserved internal hydrophilic domain of AfFks1p was achieved in Escherichia coli. Anti-Fks1p antibodies labeled the apex of the germ tube, as did aniline blue fluorochrome, which was specific for β(1–3) glucans, showing that AfFks1p colocalized with the newly synthesized β(1–3) glucans.AfRHO1, the most homologous gene to RHO1 ofSaccharomyces cerevisiae, was studied for the first time in a filamentous fungus. AfRho proteins have GTP binding and hydrolysis consensus sequences identical to those of yeast Rho proteins and have a slightly modified geranylation site in AfRho1p and AfRho3p. Purification of the glucan synthase complex by product entrapment led to the enrichment of four proteins: Fks1p, Rho1p, a 100-kDa protein homologous to a membrane H+-ATPase, and a 160-kDa protein which was labeled by an anti-β(1–3) glucan antibody and was homologous to ABC bacterial β(1–2) glucan transporters.

scholarly journals Single-Center Evaluation of an Agar-Based Screening for Azole Resistance in Aspergillus fumigatus by Using VIPcheck

2017 ◽  
Vol 61 (12) ◽  
Author(s):  
J. B. Buil ◽  
H. A. L. van der Lee ◽  
A. J. M. M. Rijs ◽  
J. Zoll ◽  
J. A. M. F. Hovestadt ◽  
...  
Keyword(s):  
Aspergillus Fumigatus ◽  
Sensitivity And Specificity ◽  
Antifungal Susceptibility ◽  
Screening Method ◽  
Point Mutations ◽  
Azole Resistance ◽  
Minimal Growth ◽  
Content Type ◽  
Mean Sensitivity ◽  
Selection Of

ABSTRACT Antifungal susceptibility testing is an essential tool for guiding therapy, although EUCAST and CLSI reference methods are often available only in specialized centers. We studied the performance of an agar-based screening method for the detection of azole resistance in Aspergillus fumigatus cultures. The VIPcheck consists of four wells containing voriconazole, itraconazole, posaconazole, or a growth control. Ninety-six A. fumigatus isolates were used. Thirty-three isolates harbored a known resistance mechanism: TR34/L98H (11 isolates), TR46/Y121F/T289A (6 isolates), TR53 (2 isolates), and 14 isolates with other cyp51A gene point mutations. Eighteen resistant isolates had no cyp51A-mediated azole resistance. Forty-five isolates had a wild-type (WT) azole phenotype. Four technicians and two inexperienced interns, blinded to the genotype/phenotype, read the plates visually after 24 h and 48 h and documented minimal growth, uninhibited growth, and no growth. The performance was compared to the EUCAST method. After 24 h of incubation, the mean sensitivity and specificity were 0.54 and 1.00, respectively, with uninhibited growth as the threshold. After 48 h of incubation, the performance mean sensitivity and specificity were 0.98 and 0.93, respectively, with minimal growth. The performance was not affected by observer experience in mycology. The interclass correlation coefficient was 0.87 after 24 h and 0.85 after 48 h. VIPcheck enabled the selection of azole-resistant A. fumigatus colonies, with a mean sensitivity and specificity of 0.98 and 0.93, respectively. Uninhibited growth on any azole-containing well after 24 h and minimal growth after 48 h were indicative of resistance. These results indicate that the VIPcheck is an easy-to-use tool for azole resistance screening and the selection of colonies that require MIC testing.

scholarly journals Prediction of selective inhibition of neuraminidase from various influenza virus strains by potential inhibitors

2016 ◽  
Vol 62 (6) ◽  
pp. 691-703 ◽  
Author(s):  
A.V. Mikurova ◽  
A.V. Rybina ◽  
V.S. Skvortsov
Keyword(s):  
Influenza Virus ◽  
3D Structure ◽  
Selective Inhibition ◽  
Regression Equations ◽  
Independent Variables ◽  
3D Data ◽  
Ic50 Values ◽  
Potential Inhibitors ◽  
Virus Strains ◽  
Selection Of

A universal model of inhibition of neuraminidases from various influenza virus strains by a particular has been developed. It is based on known 3D data for neuraminidases from three influenza virus strains (A/Tokyo/3/67, A/tern/Australia/G70C/75, B/Lee/40) and modeling of 3D structure of neuraminidases from other strains (A/PR/8/34 and A/Aichi/2/68). Using docking and molecular dynamics, we have modeled 235 enzyme-ligand complexes for 185 compounds with known IC50 values. Selection of final variants among three results obtained for each enzyme-ligand pair and calculation of independent variables for generation of linear regression equations was performed using MM-PBSA/MM-GBSA. This resulted in the set of equations individual strains and the equations pooling all the data. Thus using this approach it is possible to predict inhibition for neuraminidase from each of the considered strains by a particular inhibitor and to predict the range of its action on neuraminidases from various influenza virus strains.

scholarly journals A Genomic Snapshot of the SARS-CoV-2 Pandemic in the Balearic Islands

2022 ◽  
Vol 12 ◽  
Author(s):  
Carla López-Causapé ◽  
Pablo A. Fraile-Ribot ◽  
Santiago Jiménez-Serrano ◽  
Gabriel Cabot ◽  
Ester del Barrio-Tofiño ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Temporal Distribution ◽  
Balearic Islands ◽  
Distribution Analysis ◽  
Key Factors ◽  
Consensus Sequences ◽  
Genomic Epidemiology ◽  
Size Population ◽  
Lineage Distribution ◽  
Selection Of

Objective: To analyze the SARS-CoV-2 genomic epidemiology in the Balearic Islands, a unique setting in which the course of the pandemic has been influenced by a complex interplay between insularity, severe social restrictions and tourism travels.Methods: Since the onset of the pandemic, more than 2,700 SARS-CoV-2 positive respiratory samples have been randomly selected and sequenced in the Balearic Islands. Genetic diversity of circulating variants was assessed by lineage assignment of consensus whole genome sequences with PANGOLIN and investigation of additional spike mutations.Results: Consensus sequences were assigned to 46 different PANGO lineages and 75% of genomes were classified within a VOC, VUI, or VUM variant according to the WHO definitions. Highest genetic diversity was documented in the island of Majorca (42 different lineages detected). Globally, lineages B.1.1.7 and B.1.617.2/AY.X were identified as the 2 major lineages circulating in the Balearic Islands during the pandemic, distantly followed by lineages B.1.177/B.1.177.X. However, in Ibiza/Formentera lineage distribution was slightly different and lineage B.1.221 was the third most prevalent. Temporal distribution analysis showed that B.1 and B.1.5 lineages dominated the first epidemic wave, lineage B.1.177 dominated the second and third, and lineage B.1.617.2 the fourth. Of note, lineage B.1.1.7 became the most prevalent circulating lineage during first half of 2021; however, it was not associated with an increased in COVID-19 cases likely due to severe social restrictions and limited travels. Additional spike mutations were rarely documented with the exception of mutation S:Q613H which has been detected in several genomes (n = 25) since July 2021.Conclusion: Virus evolution, mainly driven by the acquisition and selection of spike substitutions conferring biological advantages, social restrictions, and size population are apparently key factors for explaining the epidemic patterns registered in the Balearic Islands.

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