Updates
Perspectives and deep dives on the models powering AI for life science discovery.
Updates
The integration of Genie 3 into Vecura allows researchers and protein engineers to perform high-speed de novo protein design—including unconditional generation, motif scaffolding, and binder design—through a streamlined, accessible interface.
Updates
This update empowers protein engineers and computational biologists to design novel protein sequences and structures through a streamlined, guided workflow on Vecura, eliminating the need to manage complex GPU-heavy technical stacks.
Updates
This update allows drug discovery researchers to perform state-of-the-art protein-ligand binding affinity scoring directly within the Vecura platform, eliminating the need to manage complex GPU-based inference pipelines.
Updates
This update enables structural biologists and antibody engineers to rapidly rank antibody-antigen docking poses through a streamlined, guided workflow inside Vecura, eliminating the need to manage complex, resource-intensive computational infrastructure.
Updates
This update enables antibody researchers and protein engineers to rapidly identify sequence-identical matches within massive antibody databases through a guided, high-performance workflow inside Vecura, eliminating the need for complex local infrastructure or manual database management.
Updates
BioPhi is now integrated into Vecura, enabling researchers to optimize antibody candidates and assess their human-likeness through a streamlined, user-friendly workflow without the need for complex local infrastructure.
Updates
This update allows immunologists and cancer researchers to evaluate peptide immunogenicity and generate novel vaccine candidates directly through Vecura, eliminating the need for complex local infrastructure setup.
Updates
This update enables structural biologists and bioinformatics researchers to generate high-quality protein sequence alignments and structural templates directly through Vecura, eliminating the need to manage complex, hardware-intensive infrastructure.
Updates
This update enables protein engineers and molecular biologists to predict the functional impact of mutations through a guided workflow inside Vecura, eliminating the need for complex technical infrastructure.
Updates
This update enables researchers and structural biologists to perform unified, sequence-independent structural and sequence alignments of proteins, RNA, and DNA through a guided workflow inside Vecura, without setting up complex technical infrastructure.
Updates
This update enables bioinformaticians and molecular biologists to perform high-accuracy multiple sequence alignments and generate confidence-weighted ensembles directly within Vecura, eliminating the need for complex command-line infrastructure.
Updates
This update allows structural biologists and computational researchers to predict 3D biomolecular complexes directly within Vecura, removing the burden of managing complex technical environments or infrastructure.