Faculty Opinions recommendation of Screening of a custom-designed acid fragment library identifies 1-phenylpyrroles and 1-phenylpyrrolidines as inhibitors of Notum carboxylesterase activity.

Author(s):  
John Lowe
2020 ◽  
Vol 63 (17) ◽  
pp. 9464-9483
Author(s):  
William Mahy ◽  
Mikesh Patel ◽  
David Steadman ◽  
Hannah L. Woodward ◽  
Benjamin N. Atkinson ◽  
...  

2021 ◽  
Vol 22 (16) ◽  
pp. 8392
Author(s):  
Reiner Noschka ◽  
Fanny Wondany ◽  
Gönül Kizilsavas ◽  
Tanja Weil ◽  
Gilbert Weidinger ◽  
...  

Granulysin is an antimicrobial peptide (AMP) expressed by human T-lymphocytes and natural killer cells. Despite a remarkably broad antimicrobial spectrum, its implementation into clinical practice has been hampered by its large size and off-target effects. To circumvent these limitations, we synthesized a 29 amino acid fragment within the putative cytolytic site of Granulysin (termed “Gran1”). We evaluated the antimicrobial activity of Gran1 against the major human pathogen Mycobacterium tuberculosis (Mtb) and a panel of clinically relevant non-tuberculous mycobacteria which are notoriously difficult to treat. Gran1 efficiently inhibited the mycobacterial proliferation in the low micro molar range. Super-resolution fluorescence microscopy and scanning electron microscopy indicated that Gran1 interacts with the surface of Mtb, causing lethal distortions of the cell wall. Importantly, Gran1 showed no off-target effects (cytokine release, chemotaxis, cell death) in primary human cells or zebrafish embryos (cytotoxicity, developmental toxicity, neurotoxicity, cardiotoxicity). Gran1 was selectively internalized by macrophages, the major host cell of Mtb, and restricted the proliferation of the pathogen. Our results demonstrate that the hypothesis-driven design of AMPs is a powerful approach for the identification of small bioactive compounds with specific antimicrobial activity. Gran1 is a promising component for the design of AMP-containing nanoparticles with selective activity and favorable pharmacokinetics to be pushed forward into experimental in vivo models of infectious diseases, most notably tuberculosis.


2010 ◽  
Vol 84 (19) ◽  
pp. 9897-9906 ◽  
Author(s):  
Florence Larrous ◽  
Alireza Gholami ◽  
Shahul Mouhamad ◽  
Jérôme Estaquier ◽  
Hervé Bourhy

ABSTRACT The lyssavirus matrix (M) protein induces apoptosis. The regions of the M protein that are essential for triggering cell death pathways are not yet clearly defined. We therefore compared the M proteins from two viruses that have contrasting characteristics in terms of cellular apoptosis: a genotype 3 lyssavirus, Mokola virus (MOK), and a genotype 1 rabies virus isolated from a dog from Thailand (THA). We identified a 20-amino-acid fragment (corresponding to positions 67 to 86) that retained the cell death activities of the full-length M protein from MOK via both the tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) and inhibition of cytochrome c oxidase (CcO) activity. We found that the amino acids at positions 77 and 81 have an essential role in triggering these two cell death pathways. Directed mutagenesis demonstrated that the amino acid at position 77 affects CcO activity, whereas the amino acid at position 81 affects TRAIL-dependent apoptosis. Mutations in the full-length M protein that compromised induction of either of these two pathways resulted in delayed apoptosis compared with the time to apoptosis for the nonmutated control.


2002 ◽  
Vol 13 (9) ◽  
pp. 3029-3041 ◽  
Author(s):  
Cheryl D. Warren ◽  
D. Michelle Brady ◽  
Raymond C. Johnston ◽  
Joseph S. Hanna ◽  
Kevin G. Hardwick ◽  
...  

The spindle checkpoint plays a central role in the fidelity of chromosome transmission by ensuring that anaphase is initiated only after kinetochore-microtubule associations of all sister chromatid pairs are complete. In this study, we find that known spindle checkpoint proteins do not contribute equally to chromosome segregation fidelity in Saccharomyces cerevisiae. Loss of Bub1 or Bub3 protein elicits the largest effect. Analysis of Bub1p reveals the presence of two molecular functions. An N-terminal 608-amino acid (nonkinase) portion of the protein supports robust checkpoint activity, and, as expected, contributes to chromosome segregation. A C-terminal kinase-encoding segment independently contributes to chromosome segregation through an unknown mechanism. Both molecular functions depend on association with Bub3p. A 156-amino acid fragment of Bub1p functions in Bub3p binding and in kinetochore localization by one-hybrid assay. An adjacent segment is required for Mad1p binding, detected by deletion analysis and coimmunoprecipitation. Finally, overexpression of wild-type BUB1 or MAD3 genes leads to chromosome instability. Analysis of this activity indicates that the Bub3p-binding domain of Bub1p contributes to this phenotype through disruption of checkpoint activity as well as through introduction of kinetochore or spindle damage.


PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0123998 ◽  
Author(s):  
Saulo H. P. de Oliveira ◽  
Jiye Shi ◽  
Charlotte M. Deane

Biomolecules ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1518 ◽  
Author(s):  
Ana L. Chávez-Hernández ◽  
Norberto Sánchez-Cruz ◽  
José L. Medina-Franco

Natural products and semi-synthetic compounds continue to be a significant source of drug candidates for a broad range of diseases, including coronavirus disease 2019 (COVID-19), which is causing the current pandemic. Besides being attractive sources of bioactive compounds for further development or optimization, natural products are excellent substrates of unique substructures for fragment-based drug discovery. To this end, fragment libraries should be incorporated into automated drug design pipelines. However, public fragment libraries based on extensive collections of natural products are still limited. Herein, we report the generation and analysis of a fragment library of natural products derived from a database with more than 400,000 compounds. We also report fragment libraries of a large food chemical database and other compound datasets of interest in drug discovery, including compound libraries relevant for COVID-19 drug discovery. The fragment libraries were characterized in terms of content and diversity.


1969 ◽  
Vol 111 (5) ◽  
pp. 785-792 ◽  
Author(s):  
A. J. White ◽  
G. A. Snow

Mycobactin S has been isolated from Mycobacterium smegmatis and from Mycobacterium sp. Olitzky & Gershon, strain 2, and mycobactin H from M. thermoresistible; all three organisms were grown on synthetic media of low iron content. These two mycobactins are mixtures of compounds having the same nucleus but differing in their fatty side chains. The nucleus of mycobactin S has a chemical structure identical with that of mycobactin T but differs in the optical configuration at the β-carbon atom of the hydroxy acid fragment; the configuration in mycobactin S is S whereas that in mycobactin T is R (the previous assignment of this configuration was incorrect). The cobactin fragment of mycobactin H is identical with that of mycobactin S, but the mycobactic acid moiety differs in having methyl groups at position 6 in the benzene ring and at position 5 in the oxazoline ring. The configurations of all the asymmetric centres have been established for both mycobactins. Improved and simplified methods for the extraction and purification of mycobactins are described.


Author(s):  
Francesca Ferrari ◽  
Maicol Bissaro ◽  
Simone Fabbian ◽  
Jessica de Almeida Roger ◽  
Stefano Mammi ◽  
...  

<p>In this manuscript, for the first time, we presented a fragment library and we validated its performance by comparison with a well-established technique for fragment screening as solution NMR. We were able to screen 400 different fragments producing a total of 1200 independent fragment-protein recognition pathways. As far as we know, this represents the largest screening based on Molecular dynamics ever reported. Our simulations successfully detected the true binders in the library in a prospective study, showing a notable agreement with a state-of-art screening we performed by NMR on the same dataset.</p>


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