アップデート
ライフサイエンスの発見のための AI を支えるモデルに関する視点と深掘り。
アップデート
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.
アップデート
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.
アップデート
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.
アップデート
This update enables antibody engineers and protein scientists to generate accurate 3D atomic structures of antibody variable domains directly through a guided workflow in Vecura, eliminating the need for complex local infrastructure and time-consuming manual setup.
アップデート
This update enables structural biologists and protein engineers to accurately predict metal-ion and water binding sites through a simplified, guided workflow on Vecura, eliminating the need for complex local infrastructure or GPU setup.
アップデート
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.
アップデート
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.
アップデート
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.
アップデート
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.
アップデート
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.
アップデート
This update empowers synthetic biologists and genomic researchers to generate biologically coherent DNA sequences via a streamlined workflow in Vecura, bypassing the need for complex, resource-intensive infrastructure.
アップデート
This update enables oncology researchers and drug discovery scientists to perform rapid in-silico screening of anti-cancer drug combinations directly within Vecura, eliminating the need for complex local infrastructure setup.