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
StaB-ddG is now accessible on Vecura, allowing researchers and protein engineers to rapidly predict the effects of point mutations on protein-protein binding affinity without the burden of maintaining complex computational infrastructure.
アップデート
This update enables life science researchers to predict the 3D structure of biomolecular complexes directly from sequence data, through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables antibody engineers and protein scientists to accurately identify antigen-binding sites from 3D structures through a guided, high-throughput workflow inside Vecura, eliminating the need for complex local infrastructure setup.
アップデート
This update enables medicinal chemists and computational biologists to accelerate lead optimization and de novo design through a guided, accessible workflow inside Vecura, eliminating the need to manage complex, containerized generative AI infrastructure.
アップデート
This update empowers medicinal chemists and structural biologists to rapidly identify and rank druggable protein binding sites via a streamlined, guided workflow on Vecura, eliminating the need to manage complex local installation or technical infrastructure.
アップデート
This update enables structural biologists and drug discovery researchers to predict complex 3D biomolecular structures through a guided workflow inside Vecura, eliminating the need to manage complex GPU infrastructure and environment setups.
アップデート
This update integrates the deep-learning-augmented docking tool gnina into Vecura, enabling researchers to perform advanced, CNN-powered molecular docking without the need to manage complex infrastructure or GPU acceleration.
アップデート
This update enables computational biologists, medicinal chemists, and drug discovery researchers to predict small molecule binding poses and affinities through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables researchers and drug discovery teams to streamline antibody and nanobody design through a guided, high-performance workflow inside Vecura, eliminating the need to manage complex underlying technical infrastructure.
アップデート
This update enables computational scientists and medicinal chemists to streamline fragment-based lead optimization through a guided, accessible workflow inside Vecura, eliminating the need to manage complex underlying technical infrastructure.
アップデート
This update enables structural biologists and protein engineers to explore protein flexibility and capture metastable conformational states directly within Vecura, removing the burden of managing complex computational pipelines.
アップデート
This update empowers researchers to perform advanced antibody CDR co-design directly within Vecura, streamlining the generation of structurally optimized, antigen-specific antibody candidates without the need for complex local infrastructure.