Emergence of genomic diversity and recurrent mutations in SARS-CoV-2
Sign Up to like & getrecommendations! Published in 2020 at "Infection, Genetics and Evolution"
DOI: 10.1016/j.meegid.2020.104351
Abstract: Abstract SARS-CoV-2 is a SARS-like coronavirus of likely zoonotic origin first identified in December 2019 in Wuhan, the capital of China's Hubei province. The virus has since spread globally, resulting in the currently ongoing COVID-19… read more here.
Keywords: mutations sars; diversity; recurrent mutations; genomic diversity ... See more keywords
New drug discovery approaches targeting recurrent mutations in chronic lymphocytic leukemia
Sign Up to like & getrecommendations! Published in 2017 at "Expert Opinion on Drug Discovery"
DOI: 10.1080/17460441.2017.1362387
Abstract: ABSTRACT Introduction: Next generation sequencing has provided a comprehensive understanding of the mutational landscape in chronic lymphocytic leukemia (CLL), and new drivers have been identified. Some of these drivers could be pharmacologically targeted to choose… read more here.
Keywords: drug discovery; recurrent mutations; lymphocytic leukemia; chronic lymphocytic ... See more keywords
Recurrent mutations promote widespread structural and functional divergence of MULE-derived genes in plants
Sign Up to like & getrecommendations! Published in 2021 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkab932
Abstract: Abstract Transposable element (TE)-derived genes are increasingly recognized as major sources conferring essential traits in agriculturally important crops but underlying evolutionary mechanisms remain obscure. We updated previous annotations and constructed 18,744 FAR-RED IMPAIRED RESPONSE1 (FAR1)… read more here.
Keywords: derived genes; far1 genes; recurrent mutations; divergence ... See more keywords
Prediction of Recurrent Mutations in SARS-CoV-2 Using Artificial Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms232314683
Abstract: Predicting SARS-CoV-2 mutations is difficult, but predicting recurrent mutations driven by the host, such as those caused by host deaminases, is feasible. We used machine learning to predict which positions from the SARS-CoV-2 genome will… read more here.
Keywords: recurrent mutations; prediction recurrent; sars cov; mutations sars ... See more keywords