#mutational — Public Fediverse posts

Deep #mutational #scanning of #H5 #hemagglutinin to inform #influenza virus #surveillance, BioRxIV: https://www.biorxiv.org/content/10.1101/2024.05.23.595634v2

Here we use pseudovirus deep mutational scanning to measure how all mutations to a clade 2.3.4.4b H5 HA affect each phenotype. We identify mutations that allow HA to better bind a2-6-linked sialic acids, and show that some viruses already carry mutations that stabilize HA.

#Phylogenetic & #mutational #analysis of #H10N3 avian #influenza A virus in #China: potential #threats to #human #health, Front Cell Infect Microbiol.: https://www.frontiersin.org/journals/cellular-and-infection-microbiology/articles/10.3389/fcimb.2024.1433661/full

Analysis of aa mutation sites identified 4 mutations potentially hazardous to human health. Consequently, this underscores importance of continuous & vigilant monitoring of dynamics surrounding H10N3 subtype of avian influenza virus, utilizing advanced #genomic surveillance techniques.

Deep #mutational #scanning of #H5 #hemagglutinin to inform #influenza virus #surveillance, BioRxIV, https://www.biorxiv.org/content/10.1101/2024.05.23.595634v1

Overall, the systematic nature of deep mutational scanning combined with the safety of pseudoviruses enables comprehensive measurements of the phenotypic effects of mutations that can inform real-time interpretation of viral variation observed during surveillance of H5 influenza.

Deep #mutational #scanning of #influenza A virus #NEP reveals pleiotropic #mutations in its N-terminal domain http://biorxiv.org/cgi/content/short/2024.05.16.594574v1?rss=1

The influenza A virus nuclear export protein (NEP) is a multifunctional protein that is essential for the viral life cycle and has very high sequence conservation.

Deep #mutational #scans of #XBB15 and #BQ11 reveal ongoing epistatic #drift during #SARS-CoV-2 #evolution https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1011901

Deep #mutational #scans of #XBB15 and #BQ11 reveal ongoing epistatic #drift during #SARS-CoV-2 #evolution https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1011901

Deep #mutational #scans of #XBB15 and #BQ11 reveal ongoing epistatic #drift during #SARS-CoV-2 #evolution https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1011901

Deep #mutational #scans of #XBB15 and #BQ11 reveal ongoing epistatic #drift during #SARS-CoV-2 #evolution https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1011901

Deep #mutational #scans of #XBB15 and #BQ11 reveal ongoing epistatic #drift during #SARS-CoV-2 #evolution https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1011901

The influential American number theorist Leonard Dickson wrote 'Thank God that number theory is unsullied by any application.'

And yet, again and again, number theory finds unexpected applications in science and engineering, from leaf angles that (almost) universally follow the Fibonacci sequence, to modern encryption techniques based on factoring prime numbers.

Now, researchers have demonstrated an unexpected link between number theory and evolutionary genetics.

Specifically, the team of researchers - from Oxford, Harvard, Cambridge, GUST, MIT, Imperial, and the Alan Turing Institute - have discovered a deep connection between the sums-of-digits function of number theory and a key quantity in genetics: #phenotype #mutational #robustness.

This quality is defined as the average probability that a point mutation does not change a phenotype (a characteristic of an organism).

They proved that the maximum robustness is proportional to the logarithm of the fraction of all possible sequences that map to a phenotype, with a correction which is given by the sums of digits function sk(n), defined as the sum of the digits of a natural number n in base k. For example, for n = 123 in base 10, the digit sum would be s10(123) = 1 + 2 + 3 = 6.

Another surprise was that the maximum robustness also turns out to be related to the famous Tagaki function, a bizarre function that is continuous everywhere, but differentiable nowhere.

First author Dr. Vaibhav Mohanty (Harvard Medical School) added: 'What is most surprising is that we found clear evidence in the mapping from sequences to RNA secondary structures that nature in some cases achieves the exact maximum robustness bound. It's as if biology knows about the fractal sums-of-digits function.'
https://www.news-medical.net/news/20230808/Unexpected-link-between-pure-mathematics-and-genetics-discovered.aspx

How can we tell how different #cancer cells will respond to various drugs? 💊

ERC grantee @FranSupek @IRBBarcelona found out that the answer lies in the “#mutational signature” left on the entire cancer genome.

More? ➡️ https://bit.ly/3o3Xydr #CancerResearch

@GenomeDataLab

🐦🔗: https://nitter.eu/ERC_Research/status/1552194603498909697