Updates
Perspectives and deep dives on the models powering AI for life science discovery.
Updates
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.
Updates
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.
Updates
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.
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.