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 enables computational chemists and drug discovery researchers to generate physically realistic 3D molecular conformers through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables drug discovery researchers, structural biologists, and computational chemists to generate 3D molecular representations, predict protein-ligand binding poses, and simulate conformations through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables structural biologists and protein engineers to design protein-nucleic acid complexes and predict binding specificity directly through an integrated workflow on Vecura, eliminating the need for complex local infrastructure setup.
アップデート
This update enables protein designers and computational biologists to generate full-atom 3D structures with co-designed amino acid sequences through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables medicinal chemists and drug-discovery researchers to project molecules onto synthesizable chemical space and generate concrete synthesis routes through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables computational chemists and drug discovery researchers to generate realistic 3D molecular conformers from SMILES strings through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables structural biologists, protein engineers, and drug discovery researchers to generate de novo protein backbones through a guided workflow inside Vecura, without setting up complex GPU infrastructure or managing flow-matching model deployments.
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.