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 researchers to perform de novo protein and cyclic peptide design through a streamlined workflow on Vecura, eliminating the need for complex technical infrastructure or custom software maintenance.
アップデート
Drug discovery professionals and computational chemists can now explore chemical space and optimize lead scaffolds using the MoFlow generative model, all through a streamlined, infrastructure-free workflow on Vecura.
アップデート
This update enables medicinal chemists and computational scientists to accurately enumerate molecular ionization states through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update allows antibody engineers and researchers to instantly assess the developability of their nanobody candidates through a streamlined, guided workflow on Vecura, removing the need for local software configuration.
アップデート
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.
アップデート
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.
アップデート
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.
アップデート
This update empowers structural biologists to instantly sharpen, denoise, and mask cryo-EM maps through an intuitive, guided workflow on Vecura, eliminating the need for complex, manual post-processing setup.
アップデート
Researchers and bioengineers can now perform rapid, uncertainty-aware prediction of enzyme kinetic parameters (kcat, Km, Ki) directly within Vecura, eliminating the need for complex local infrastructure or costly initial wet-lab assays.
アップデート
This update enables medicinal chemists and computational researchers to perform high-throughput molecular similarity and substructure screening through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
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.
アップデート
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.