Updates
Perspectives and deep dives on the models powering AI for life science discovery.
Updates
This update empowers structural biologists to instantly sharpen, denoise, and mask cryo-EM maps through an intuitive, guided workflow on Vecura, eliminating the need for complex, manual post-processing setup.
Updates
This update enables structural biologists and researchers to effortlessly prepare PDB files for molecular dynamics simulations through a guided workflow on Vecura, eliminating the need to set up complex local software environments.
Updates
This update enables protein engineers and structural biologists to design novel protein backbones and complex motif-constrained scaffolds directly within the Vecura platform, bypassing the need for complex local infrastructure or manual CUDA environment 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 integration enables medicinal chemists and structural biologists to perform high-precision protein-ligand docking and virtual screening directly through Vecura, eliminating the need for complex software stack installation or high-end infrastructure management.
Updates
This update enables structural biologists, drug discovery researchers, and computational biologists to predict protein-protein docking poses through a guided workflow inside Vecura, without setting up complex technical infrastructure or managing dependencies.
Updates
This update enables chemists and researchers to predict the micro-pKa values of organic molecules through a guided workflow inside Vecura, without setting up complex technical infrastructure.
Updates
This update allows medicinal chemists and researchers to perform high-accuracy protein-ligand docking and pose refinement directly within the Vecura platform, eliminating the need for complex software installation or infrastructure management.
Updates
This update enables researchers and immunotherapy developers to design custom T cell receptors and antibodies through a guided workflow inside Vecura, without setting up complex computational infrastructure.
Updates
This update empowers protein engineers to design novel, catalytically active enzymes with preserved functional motifs through an intuitive workflow on Vecura, bypassing the need for complex local infrastructure.
Updates
This integration allows drug discovery researchers to assess hERG inhibition liability for small molecules directly within Vecura, utilizing a high-performance structure-based AI pipeline without the need for manual setup or complex infrastructure.
Updates
This update enables structural biologists and protein engineers to isolate stable, experimentally tractable globular domains directly from AlphaFold structures through a streamlined workflow on Vecura, eliminating the need for manual curation or complex local installations.