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 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.
产品更新
This update enables structural biologists and researchers to perform high-accuracy, restraint-guided protein-protein docking directly within the Vecura platform, eliminating the need for complex, manual computational environment setups.
产品更新
This update enables computational biologists, peptide engineers, and drug discovery researchers to design macrocyclic peptide backbones — either as free-standing monomers or as binders targeting specific proteins — through a guided workflow inside Vecura, without setting up complex GPU infrastructure or managing RFdiffusion dependencies.
产品更新
This update enables computational biologists and drug discovery researchers to predict protein-ligand binding structures through a guided workflow inside Vecura, without setting up complex technical infrastructure.
产品更新
This update enables structural biologists, therapeutic designers, and researchers to design custom protein sequences conditioned on bound ligands, metals, and nucleic acids through a guided workflow inside Vecura, without setting up complex technical infrastructure.
产品更新
The addition of Scanpy to Vecura empowers bioinformaticians and researchers to seamlessly perform end-to-end single-cell RNA sequencing analysis—from quality control to trajectory inference—within a unified, user-friendly environment.
产品更新
Computational biologists and structural researchers can now access SuperWater on Vecura to accurately predict protein surface hydration sites, simplifying complex workflows without needing local hardware setup.
产品更新
This update enables drug discovery researchers and antibody engineers to perform structure-guided CDR redesign using the IgDesign model through a guided, no-code workflow on Vecura.
产品更新
This integration allows protein scientists and bioengineers to perform advanced mutation scoring, structural embedding, and protein design through an intuitive Vecura interface, bypassing the need for manual configuration of complex structural bioinformatics pipelines.
产品更新
This update enables protein engineers and computational biologists to co-design antibody CDR loops with improved developability properties directly through an integrated workflow on Vecura, bypassing the need for complex local infrastructure.