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 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.
アップデート
This update enables structural biologists and computational chemists to perform high-performance molecular dynamics trajectory analysis directly within Vecura, eliminating the need to set up complex local compute environments for processing protein simulations.
アップデート
This integration allows researchers and structural biologists to easily identify and characterize fold-switching proteins through an automated, guided workflow directly within Vecura, eliminating the need for manual, complex technical infrastructure.
アップデート
This update enables researchers, clinicians, and pharmaceutical developers to perform comprehensive, uncertainty-aware drug-drug interaction screening through a guided workflow inside Vecura, eliminating the need to manage complex, legacy-dependent technical environments.
アップデート
This update enables antibody researchers and drug discovery scientists to explore a vast landscape of known antibody sequences and structures through a guided, no-code workflow on Vecura.
アップデート
This integration allows computational biologists and structural researchers to predict NMR chemical shifts and validate protein structures directly through a streamlined Vecura workflow, eliminating the need for complex local infrastructure setup.
アップデート
This update enables bioinformaticians and researchers to perform ultra-fast sequence searching, clustering, and taxonomic assignment through a guided, high-performance workflow inside Vecura, removing the need to manage complex, resource-heavy infrastructure.
アップデート
This update enables drug discovery researchers and computational chemists to perform physics-based binding free energy calculations through a guided workflow inside Vecura, eliminating the need to set up complex GROMACS-based technical infrastructure.