CSC Energia Data Infrastructure designs and delivers micro-modular data centers, edge data centers, immersion liquid cooling, AI servers, liquid cooling switches, cold aisle containment, DCIM/EMS, ser...
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In this study, we have determined the structure of the alternative tail fiber subunit, gp52, and compared it with other tail fibers. The results revealed that Mu phage employs different structural
In this paper, we introduce RBPseg, a method that combines monomeric ESMfold predictions with a novel sigmoid distance pair (sDp) protein
In this study, we identified a new structure of the podophage with three types of tail fibers, and such phages with different types of fibers may have a broad host range and/or infect host cells
Sequence conservation was calculated using the 730 multiple sequence alignment (MSA) of each TC class, highlighting regions of high (1) and low 732 731 (-3) conservation across the members.
Here, we will discuss the function and dynamics of the tail of the Caudovirales. We will examine the similarities and differences of all three families belonging to this order and point out specific
In this paper, we introduce RBPseg, a method that combines monomeric ESMfold predictions with a novel sigmoid distance pair (sDp) protein segmentation technique. This method
Here, we present the structure of DT57C determined by cryo-EM, and an atomic model of the virus, which was further explored using all-atom molecular dynamics simulations.
At the first step of phage infection, the receptor-binding proteins (RBPs) such as tail fibers are responsible for recognizing specific host surface receptors. The proper folding and assembly of
This study shows that the tail tips, the most diversified region across bacteriophage lambda and other long-tailed phages (or tail-like machines), contain conserved domains, which
Here, we introduce RBPseg, a method that combines monomeric ESMFold predictions with a structural- based domain identi cation approach, to divide tail ber sequences into manageable fractions for high-
Prefabricated micro-modular data centers and edge pods, scalable from 5 to 50 racks, ready for 5G and edge AI workloads.
Single-phase immersion cooling tanks and direct-to-chip liquid cooling switches, achieving PUE below 1.1.
GPU-accelerated AI servers, high-density server racks, and network cabinets optimized for AI/ML workloads.
Real-time data center infrastructure management, plus overhead cable trays and fiber bridges for structured cabling.
We provide custom data center infrastructure solutions, from micro-modular DCs to immersion cooling and AI-ready racks.
From design to deployment, our team ensures energy-efficient, scalable, and carrier-grade digital infrastructure.
Al. Jerozolimskie 180, Entrance B, 02-486 Warsaw, Masovian Voivodeship, Poland
+48 571 392 846 | +48 571 392 846 | [email protected]