アップデート
ライフサイエンスの発見のための AI を支えるモデルに関する視点と深掘り。
アップデート
This update allows researchers and bioinformaticians to perform rapid protein structure and complex prediction through an integrated, user-friendly workflow on Vecura, eliminating the need for complex local HPC setup.
アップデート
This update allows medicinal chemists and researchers to perform comprehensive ADMET profiling on small-molecule libraries through an integrated workflow in Vecura, removing the need for manual model deployment or specialized hardware.
アップデート
This update enables antibody researchers and protein engineers to perform de novo antibody and nanobody design through a streamlined, guided workflow on Vecura, eliminating the need for manual configuration of complex structural biology pipelines.
アップデート
The integration of NVIDIA's GenMol into the Vecura platform empowers medicinal chemists and drug discovery researchers to perform intelligent, fragment-based molecular design directly through a guided workflow, eliminating the need for complex local infrastructure.
アップデート
This update enables researchers and protein engineers to design novel amino acid sequences for custom protein structures through a guided workflow inside Vecura, eliminating the need to manage complex, resource-heavy technical infrastructure.
アップデート
This update enables protein designers and structural biologists to generate de novo protein backbones with co-designed sequences conditioned on user-defined 3D ellipsoidal layouts through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables structural biologists and drug discovery researchers to predict RNA 3D structures from sequence data through a guided workflow inside Vecura, without setting up complex GPU infrastructure or managing multiple dependencies.
アップデート
This update enables researchers, bioinformaticians, and drug discovery scientists to analyze genetic variants, optimize codon sequences, and assess coding sequence fitness through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables medicinal chemists, drug-discovery researchers, and computational scientists to generate novel, chemically valid 3D small molecules from scratch through a guided workflow inside Vecura, without setting up complex GPU infrastructure or managing pretrained model weights.
アップデート
This update enables synthetic biologists and drug discovery researchers to generate high-affinity de novo protein binders through a streamlined workflow inside Vecura, eliminating the need for managing complex GPU-intensive infrastructure.
アップデート
This update enables structural biologists and researchers to generate diverse 3D protein conformational ensembles directly within Vecura, simplifying the study of protein dynamics without requiring complex local infrastructure or high-performance computing setups.
アップデート
This update enables drug discovery researchers and structural biologists to predict and visualize complex protein-ligand binding poses through a streamlined, high-performance workflow inside Vecura, removing the need for complex infrastructure setup.