更新
关于驱动生命科学探索 AI 的模型的观点与深度解析
产品更新
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.
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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.
产品更新
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
产品更新
This update allows researchers and immunologists to predict complex TCR-pMHC structural interactions and isolate unbound molecule conformations directly within the Vecura platform, eliminating the need for complex, resource-heavy local infrastructure.
产品更新
This update enables researchers and computational biologists to design custom protein backbones through a guided workflow inside Vecura, removing the need for complex local infrastructure or manual environment configuration.