Updates
Perspectives and deep dives on the models powering AI for life science discovery.
Updates
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.
Updates
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.
Updates
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.
Updates
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.
Updates
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.
Updates
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.
Updates
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.
Updates
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.
Updates
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.
Updates
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.
Updates
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.
Updates
This integration allows researchers and bioengineers to generate novel protein binders against specific therapeutic targets directly within the Vecura platform, bypassing the need for complex local infrastructure and specialized computational setups.