scholarly journals Identification of Novel Antimalarial Chemotypes via Chemoinformatic Compound Selection Methods for a High-Throughput Screening Program against the Novel Malarial Target, PfNDH2: Increasing Hit Rate via Virtual Screening Methods

2012 ◽  
Vol 55 (7) ◽  
pp. 3144-3154 ◽  
Author(s):  
Raman Sharma ◽  
Alexandre S. Lawrenson ◽  
Nicholas E. Fisher ◽  
Ashley J. Warman ◽  
Alison E. Shone ◽  
...  
Keyword(s):  
Virtual Screening ◽  
High Throughput ◽  
High Throughput Screening ◽  
Screening Program ◽  
Screening Methods ◽  
The Novel ◽  
Selection Methods ◽  
Hit Rate ◽  
Compound Selection

scholarly journals Evaluation of a System to Screen for Stimulators of Non-Specific DNA Nicking by HIV-1 Integrase: Application to a Library of 50,000 Compounds

2011 ◽  
Vol 22 (2) ◽  
pp. 67-74 ◽  
Author(s):  
Malgorzata Sudol ◽  
Jennifer L Fritz ◽  
Melissa Tran ◽  
Gavin P Robertson ◽  
Julie B Ealy ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Solution Phase ◽  
The Novel ◽  
Endonuclease Activity ◽  
Viral Dna ◽  
Hit Rate ◽  
Dna Nicking ◽  
Hiv 1 ◽  
Stimulation Of

Background: In addition to activities needed to catalyse integration, retroviral integrases exhibit non-specific endonuclease activity that is enhanced by certain small compounds, suggesting that integrase could be stimulated to damage viral DNA before integration occurs. Methods: A non-radioactive, plate-based, solution phase, fluorescence assay was used to screen a library of 50,080 drug-like chemicals for stimulation of non-specific DNA nicking by HIV-1 integrase. Results: A semi-automated workflow was established and primary hits were readily identified from a graphic output. Overall, 0.6% of the chemicals caused a large increase in fluorescence (the primary hit rate) without also having visible colour that could have artifactually caused this result. None of the potential stimulators from this moderate-size library, however, passed a secondary test that included an inactive integrase mutant that assessed whether the increased fluorescence depended on the endonuclease activity of integrase. Conclusions: This first attempt at identifying integrase stimulator compounds establishes the necessary logistics and workflow required. The results from this study should encourage larger scale high-throughput screening to advance the novel antiviral strategy of stimulating integrase to damage retroviral DNA.

High-throughput screening program for botanical extracts

Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
L Hingorani ◽  
NP Seeram ◽  
B Ebersole
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Screening Program ◽  
Botanical Extracts

From Classical to High Throughput Screening Methods for Feruloyl Esterases: A Review

2016 ◽  
Vol 19 (8) ◽  
pp. 616-626 ◽  
Author(s):  
Lorena Ramírez-Velasco ◽  
Mariana Armendáriz-Ruiz ◽  
Jorge Alberto Rodríguez-González ◽  
Marcelo Müller-Santos ◽  
Ali Asaff-Torres ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Screening Methods ◽  
Feruloyl Esterases

scholarly journals Practical Model Selection for Prospective Virtual Screening

2018 ◽  
Author(s):  
Shengchao Liu ◽  
Moayad Alnammi ◽  
Spencer S. Ericksen ◽  
Andrew F. Voter ◽  
Gene E. Ananiev ◽  
...  
Keyword(s):  
Random Forest ◽  
Virtual Screening ◽  
Protein Interactions ◽  
High Throughput Screening ◽  
Screening Methods ◽  
Protein Protein Interactions ◽  
Screening Algorithm ◽  
Screening Performance ◽  
Wide Range ◽  
Public Datasets

AbstractVirtual (computational) high-throughput screening provides a strategy for prioritizing compounds for experimental screens, but the choice of virtual screening algorithm depends on the dataset and evaluation strategy. We consider a wide range of ligand-based machine learning and docking-based approaches for virtual screening on two protein-protein interactions, PriA-SSB and RMI-FANCM, and present a strategy for choosing which algorithm is best for prospective compound prioritization. Our workflow identifies a random forest as the best algorithm for these targets over more sophisticated neural network-based models. The top 250 predictions from our selected random forest recover 37 of the 54 active compounds from a library of 22,434 new molecules assayed on PriA-SSB. We show that virtual screening methods that perform well in public datasets and synthetic benchmarks, like multi-task neural networks, may not always translate to prospective screening performance on a specific assay of interest.

scholarly journals High throughput method development and optimised production of leaf protein concentrates with potential to support the agri-industry

2021 ◽  
Author(s):  
Ajay Iyer ◽  
Lisa Guerrier ◽  
Salomé Leveque ◽  
Charles S. Bestwick ◽  
Sylvia H. Duncan ◽  
...  
Keyword(s):  
Amino Acid ◽  
High Throughput ◽  
High Throughput Screening ◽  
Protein Extraction ◽  
Leaf Protein ◽  
Protein Recovery ◽  
Screening Methods ◽  
Extraction Technology ◽  
Protein Concentrates ◽  
Ethanol Precipitation

AbstractInvasive plants offer an interesting and unconventional source of protein and the considerable investment made towards their eradication can potentially be salvaged through their revalorisation. To identify viable sources, effective and high-throughput screening methods are required, as well as efficient procedures to isolate these components. Rigorous assessment of low-cost, high-throughput screening assays for total sugar, phenolics and protein was performed, and ninhydrin, Lever and Fast Blue assays were found to be most suitable owing to high reliability scores and false positive errors less than 1%. These assays were used to characterise invasive Scottish plants such as Gorse (Ulex europeans), Broom (Cystisus scoparius) and Fireweed (Chamaenerion angustifolium). Protein extraction (alkali-, heat- and enzyme assisted) were tested on these plants, and further purification (acid and ethanol precipitation, as well as ultrafiltration) procedures were tested on Gorse, based on protein recovery values. Cellulase treatment and ethanol precipitation gave the highest protein recovery (64.0 ± 0.5%) and purity (96.8 ± 0.1%) with Gorse. The amino acid profile of the purified protein revealed high levels of essential amino acids (34.8 ± 0.0%). Comparison of results with preceding literature revealed a strong association between amino acid profiles and overall protein recovery with the extraction method employed. The final purity of the protein concentrates was closely associated to the protein content of the initial plant mass. Leaf protein extraction technology can effectively raise crop harvest indices, revalorise underutilised plants and waste streams.

scholarly journals Evaluation of food-relevant chemicals in the ToxCast high-throughput screening program

2016 ◽  
Vol 92 ◽  
pp. 188-196 ◽  
Author(s):  
Agnes L. Karmaus ◽  
Dayne L. Filer ◽  
Matthew T. Martin ◽  
Keith A. Houck
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Screening Program

Evaluation of Methods To Assess the Biofilm-Forming Ability of Listeria monocytogenes

2012 ◽  
Vol 75 (8) ◽  
pp. 1411-1417 ◽  
Author(s):  
ANTÓNIO LOURENÇO ◽  
FRANCISCO REGO ◽  
LUISA BRITO ◽  
JOSEPH F. FRANK
Keyword(s):  
Stainless Steel ◽  
Listeria Monocytogenes ◽  
High Throughput ◽  
Biofilm Formation ◽  
High Throughput Screening ◽  
Screening Methods ◽  
Genetic Lineage ◽  
Production Lines ◽  
Genetic Characteristics

The contamination of ready-to-eat products with Listeria monocytogenes has been related to the presence of biofilms in production lines, as biofilms protect cells from chemical sanitizers. The ability of L. monocytogenes to produce biofilms is often evaluated using in vitro methodologies. This work aims to compare the most frequently used methodologies, including high-throughput screening methods based on microplates (crystal violet and the Calgary Biofilm Device) and methods based on CFU enumeration and microscopy after growth on stainless steel. Thirty isolates with diverse origins and genetic characteristics were evaluated. No (or low) correlations between methods were observed. The only significant correlation was found between the methods using stainless steel. No statistically significant correlation (P > 0.05) was detected among genetic lineage, serovar, and biofilm-forming ability. Because results indicate that biofilm formation is influenced by the surface material, the extrapolation of results from high-throughput methods using microplates to more industrially relevant surfaces should be undertaken with caution.

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