Actualités en direct des projets (non traduites)

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On 22 June 2024, 23:51:45 UTC, PrimeGrid's Generalized Fermat Prime Search found the Mega Prime: 9332124^524288+1 The prime is 3,654,278 digits long and will enter “The Largest Known Primes Database” ranked 12th for Generalized Fermat primes and 85th overall. The discovery was made by Detlef Lexut ([SG]KidDoesCrunch) of Germany using an NVIDIA GeForce RTX 3090 in an Intel(R) Core(TM) i9-10940X CPU @ 3.30GHz with 64GB RAM, running Microsoft Windows 11 Professional x64 Edition. This computer took about 27 minutes to complete the probable prime (PRP) test using Genefer23. Detlef Lexut is a member of the SETI.Germany team. The PRP was confirmed prime on 23 June 2024 by an AMD Ryzen 9 5950X @ 3.4GHz with 128GB RAM, running Linux Mint 20.3. This computer took about 15 hours, 43 minutes to complete the primality test using LLR. For more details, please see the official announcement.

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Création : 15 juillet 2024

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On 19 June 2024, 05:29:47 UTC, PrimeGrid's Generalized Fermat Prime Search found the Mega Prime: 10913140^524288+1 The prime is 3,689,913 digits long and will enter “The Largest Known Primes Database” ranked 11th for Generalized Fermat primes and 81st overall. The discovery was made by Heinrich Podsada (PoHeDa) of Germany using an NVIDIA GeForce RTX 3070 in an AMD Ryzen 9 5950X 16-Core Processor @ 3.40GHz with 64GB RAM, running Microsoft Windows 11 Professional x64 Edition. This computer took about 50 minutes to complete the probable prime (PRP) test using Genefer23. Heinrich Podsada is a member of the SETI.Germany team. The PRP was confirmed prime on 20 June 2024 by an AMD Ryzen 9 5950X @ 3.4GHz with 128GB RAM, running Linux Mint 20.3. This computer took about 15 hours, 56 minutes to complete the primality test using LLR. For more details, please see the official announcement.

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Création : 15 juillet 2024

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If you are a new member create an account over the website.

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Création : 15 juillet 2024

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The next batch of 50k tests is uploading.

The runtime is now ~2h40min on a RX5500 XT and decreasing on higher ranges.

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Création : 11 juillet 2024

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Dear participants,

as target # 22 is almost finished, we are glad to introduce the next target. Most of you have voted for Ebolavirus glycoprotein (GP) (174 out of 425 votes, wow!)

The Ebola virus is a highly virulent pathogen responsible for causing Ebola hemorrhagic fever, a severe and often fatal disease. A key factor in the virus's ability to infect host cells and cause disease is its surface glycoprotein (GP), making it an attractive target for antiviral drug development. The Ebola GP is a trimeric protein composed of two subunits per monomer: GP1, responsible for receptor binding, and GP2, which mediates fusion between the viral and host cell membranes. Initially synthesized as a precursor protein, the GP is cleaved by host proteases (furin, cathepsin) into its functional subunits, a process essential for its role in mediating viral entry. The GP facilitates the virus's attachment to the host cell surface, followed by conformational changes that enable membrane fusion, allowing the virus to enter the host cell (to the host endosomal Niemann-Pick C1 (NPC1) receptor or via direct membrane binding; Vaknin et al.; ACS Infect. Dis. 2024, 10, 5, 1590–1601).

Targeting the GP for drug development is advantageous due to its essential role in viral infection, its highly conserved structure among different Ebola virus strains, and the availability of specific binding cavities that can accommodate small-molecule inhibitors. Structural studies using techniques such as X-ray crystallography have identified these binding cavities and elucidated the GP's conformation in both its free and inhibited states. These insights enable the design of drugs that can specifically bind to and inhibit the GP by stabilizing it in its pre-fusion conformation or interfering with its cleavage, thereby preventing the necessary conformational changes for membrane fusion. We will employ high-resolution structures to conduct virtual screening experiments coupled to molecular dynamics simulations to ultimately identify potential GP inhibitors/modulators.

Promising compounds identified through these computational methods will hopefully undergo further validation using biochemical assays, pseudovirus entry assays, and structural analyses to confirm their inhibitory activity. Targeting the GP offers specificity, as it minimizes off-target effects on host cells and reduces the likelihood of resistance development. Moreover, due to the conserved nature of the GP, drugs targeting it could be effective against multiple Ebola virus strains and variants.

We hope that our computations will contribute to the fight against Ebola!

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Création : 11 juillet 2024

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We continue to characterise lung cancer biomarkers identified in the MCM1 project. This update focuses on ASTN2, a protein involved in neuronal migration. It is expressed across several tissue types, and has been implicated in various cancers.

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Création : 10 juillet 2024