Updates
Perspectives and deep dives on the models powering AI for life science discovery.
Updates
This update enables immunologists and biotherapeutics researchers to perform de novo antibody design through a guided, high-throughput workflow inside Vecura, eliminating the need for complex local infrastructure setup.
Updates
This update enables medicinal chemists and computational researchers to rapidly estimate protein-ligand binding affinities through a streamlined workflow on Vecura, eliminating the need to manage complex, structure-dependent simulation pipelines.
Updates
This update empowers computational immunologists and antibody engineers to seamlessly characterize, rank, and classify antibody sequences through a streamlined workflow on Vecura, eliminating the need for complex local infrastructure setup.
Updates
Researchers can now leverage the LICHEN generative model directly within Vecura to design, generate, and score compatible antibody light-chain sequences without the need for complex local infrastructure.
Updates
This update enables computational biologists and protein engineers to perform large-scale protein functional annotation through an intuitive workflow inside Vecura, eliminating the need to set up complex deep learning environments or manage model weights manually.
Updates
This update empowers biochemists and pharmaceutical researchers to perform rapid, structure-based pKa and pH-dependent stability predictions through a streamlined workflow on Vecura, eliminating the need for complex local software installation.
Updates
This update enables biologists and protein engineers to perform high-fidelity sequence analysis and fitness prediction through a streamlined workflow on Vecura, eliminating the need to manage complex, resource-heavy model deployment.
Updates
This update enables structural biologists and computational researchers to generate high-fidelity protein structural embeddings through a streamlined, automated workflow on Vecura, eliminating the need to manage complex environment dependencies or custom preprocessing pipelines.
Updates
This integration enables bioinformaticians and molecular biologists to perform advanced pathway enrichment analysis and gene ID conversion through a streamlined, guided workflow on Vecura, eliminating the need for complex local infrastructure or legacy software dependencies.
Updates
This update empowers medicinal chemists and drug discovery scientists to rapidly evaluate the pharmacokinetic and toxicity profiles of small molecules directly within Vecura, streamlining the lead optimization process without the need for manual model deployment.
Updates
This update enables pre-clinical researchers to quantitatively analyze drug-combination synergy and sensitivity through a guided, streamlined workflow inside Vecura, removing the need for complex local technical infrastructure.
Updates
This update allows computational biologists and researchers to explore protein conformational landscapes and generate Boltzmann-weighted ensembles directly within the Vecura platform, bypassing the need for complex local infrastructure setup.