更新
关于驱动生命科学探索 AI 的模型的观点与深度解析
产品更新
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
产品更新
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.
产品更新
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.
产品更新
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.