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 allows researchers and antibody engineers to generate and analyze dynamic 3D conformational ensembles of antibodies directly within the Vecura platform, bypassing the need for complex local infrastructure setup.
产品更新
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.
产品更新
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.
产品更新
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.
产品更新
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.
产品更新
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.
产品更新
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.
产品更新
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.
产品更新
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.
产品更新
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.
产品更新
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.
产品更新
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.