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Algorithm created to analyse large single-cell sequencing datasets
An algorithm which continuously processes new data has been developed to allow researchers to access and analyse single-cell sequencing information.
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Bioinformatics
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SARS-CoV-2 model shows Spike protein co-operation
A new coarse-grained model of the complete SARS-CoV-2 virion has revealed potential new ways to combat the coronavirus.
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New bioinformatics tool accurately tracks synthetic DNA
A team has demonstrated that their bioinformatics approach, PlasmidHawk, can analyse DNA sequences to identify the source of engineered plasmids.
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Computational method used to quantify tRNAs in any organism
Researchers have developed a new technique called mim-tRNAseq to measure, map and analyse tRNAs in cells, providing insight into disease.
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New technology enables predictive design of engineered human cells
Researchers have developed a computer modelling programme that can produce genetic circuits for cellular engineering.
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Researchers develop computer algorithm to identify cancer cell lines
Scientists have trained a computer algorithm to identify differences in cancer cell lines based on microscopic images, preventing the misclassification of cells.
![A coiling protein 'shell,' called a nucleocapsid, shown here, surrounds Ebola's genetic material, which consists of single-strand RNA. University of Delaware researchers are simulating the way molecules of this nucleocapsid move and interact, atom by atom, to understand their functions and expose targets for anti-viral treatments [Credit: Juan Perilla Laboratory].](https://www.drugtargetreview.com/wp-content/uploads/Ebola-nucleocapsid-e1603365997854.jpg)
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The nucleocapsid as a novel drug target for Ebola virus
Using supercomputer stimulations researchers reveal that the structural stability of the Ebola nucleocapsid is depended on the presence of RNA and interactions with charged ions.
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Tracking SARS-CoV-2 evolution: notable mutations and potential targets
Researchers report that while the spike protein and RNA polymerase proteins have stabilised, other regions of the SARS-CoV-2 genome are becoming increasingly variable.
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Researchers reveal how a key human anti-HIV antibody prevents infection
The team used cryogenic electron microscopy (cryo-EM) to show how the 10E8 antibody interacts with the HIV’s fusion protein to neutralise the virus.
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Online tool allows researchers to track genetic structure of SARS-CoV-2
An artificial intelligence platform available online has been designed to help researchers track the genetics of SARS-CoV-2 as it moves from person to person.
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ebook: How FBDD improves hit rates & delivers high-value targets
Learn how fragment-based drug discovery improves hit rates and delivers higher-value targets using various biophysical methods.
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Host pathways in coronavirus replication and COVID-19 pre-clinical drug target identification using proteomic and chemoinformatic analysis
The identification of host dependency factors mediating virus infection may provide key insights into effective molecular targets for developing broadly acting antiviral therapeutics against SARS-CoV-2 and other deadly coronavirus strains. Here, Joseph Steward highlights key findings of recent research.
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New study helps improve the understanding of bacteria and viruses
A new study has revealed how bacterial immune systems can be harmful for their hosts and why they are not found in all bacteria.
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Deep learning network used to model protein complexes
A new study has developed a deep learning approach that analyses protein interactions, which could improve the design of drugs in the future.
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Computational model of molecular interactions could improve new medicine development
Researchers have produced a mathematical framework enabling quick assessment of how different parameters control interactions between molecules with multiple binding sites.