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 biologists and protein engineers to perform high-speed structural prediction, variant scoring, and protein design through a guided, no-code workflow directly within Vecura, eliminating the need for complex technical infrastructure.
アップデート
This update allows antibody engineers and researchers to seamlessly perform fast, gene-specific antibody humanization directly within the Vecura platform, bypassing the need for complex, manual technical setup.
アップデート
This integration enables bioinformaticians and antibody engineers to perform guided CDR design and multi-objective optimization directly within Vecura, removing the technical barriers associated with managing complex diffusion pipelines.
アップデート
This integration enables bioinformaticians and researchers to seamlessly transform protein sequences into high-quality numerical embeddings through a streamlined Vecura workflow, eliminating the need to manage complex model infrastructure.
アップデート
This update enables structural biologists and drug discovery researchers to perform high-fidelity protein-protein docking through a streamlined, guided workflow inside Vecura, eliminating the need for complex local infrastructure.
アップデート
This update empowers bioinformaticians and researchers to perform robust differential expression analysis directly within Vecura, streamlining the transition from raw RNA-seq counts to meaningful biological insights without the burden of manual infrastructure setup.
アップデート
This update enables antibody researchers and protein engineers to generate highly specialized antibody embeddings through a streamlined workflow on Vecura, removing the need for complex, manual computational setups.
アップデート
Vecura users can now perform early-stage in silico viscosity screening of monoclonal antibody candidates, identifying potential high-viscosity liabilities without the need for complex software installation or physical experimental material.
アップデート
This update enables structural biologists and drug discovery researchers to predict cyclic peptide structures and their protein complexes through a guided workflow inside Vecura, eliminating the need to manage complex, resource-intensive local infrastructure.
アップデート
This update enables biologists, protein engineers, and drug discovery researchers to generate 3D protein structures directly from primary amino acid sequences through a streamlined workflow inside Vecura, eliminating the need to set up complex MSA pipelines or manage structural templates.
アップデート
This update empowers structural biologists and drug discovery researchers to perform rapid, rigid-body protein-protein docking directly through an intuitive workflow on Vecura, eliminating the need for complex computational infrastructure and lengthy pose-sampling pipelines.
アップデート
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.