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 drug discovery researchers and protein engineers to design high-affinity protein binding pockets through an optimized, guided workflow inside Vecura, eliminating the need for complex local infrastructure setup.
アップデート
Drug discovery researchers can now leverage PepMLM within Vecura to generate custom peptide binders from target sequences alone, accelerating hit discovery without the need for complex structural modeling infrastructure.
アップデート
This update enables computational chemists and drug discovery researchers to generate physically realistic 3D conformer ensembles for macrocyclic molecules and cyclic peptides through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables researchers and biotech scientists to design novel protein binders, peptides, and therapeutic candidates through a guided workflow inside Vecura, without setting up complex GPU infrastructure or managing large model weights.
アップデート
This update empowers clinical researchers and pharmacologists to screen for potential drug-drug interactions through an intuitive, guided workflow on Vecura, eliminating the need for complex local infrastructure setup.
アップデート
This update enables structural biologists and drug discovery researchers to predict 3D structures of biomolecular complexes through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables computational biologists and researchers to map cell differentiation trajectories through a guided, streamlined workflow inside Vecura, bypassing the need for complex local infrastructure and manual environment configuration.
アップデート
This update enables computational chemists and drug discovery researchers to generate physically realistic 3D molecular conformers through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables drug discovery researchers, structural biologists, and computational chemists to generate 3D molecular representations, predict protein-ligand binding poses, and simulate conformations through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables structural biologists and protein engineers to design protein-nucleic acid complexes and predict binding specificity directly through an integrated workflow on Vecura, eliminating the need for complex local infrastructure setup.
アップデート
This update enables protein designers and computational biologists to generate full-atom 3D structures with co-designed amino acid sequences through a guided workflow inside Vecura, without setting up complex technical infrastructure.
アップデート
This update enables computational chemists and drug discovery researchers to generate realistic 3D molecular conformers from SMILES strings through a guided workflow inside Vecura, without setting up complex technical infrastructure.