アップデート
ADAPT is now available on Vecura
This update enables researchers and immunotherapy developers to design custom T cell receptors and antibodies through a guided workflow inside Vecura, without setting up complex computational infrastructure.
アップデート
Vecura チームからのノート。
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
Accelerate Enzyme Engineering with EnzyGen2, Now Available on Vecura
This update empowers protein engineers to design novel, catalytically active enzymes with preserved functional motifs through an intuitive workflow on Vecura, bypassing the need for complex local infrastructure.
アップデート
HERGAI: Structure-Based hERG Inhibition Prediction Now Available on Vecura
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
Streamlining Structural Biology: AlphaCutter is Now Available on Vecura
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.
アップデート
Accelerating Lead Discovery: DrugFlow is Now Integrated into Vecura
This update enables medicinal chemists and structural biologists to generate novel, 3D drug-like ligand candidates directly within their target binding pockets, accessible via a streamlined workflow on Vecura without the need for complex local infrastructure.
アップデート
Predict Protein Binding Sites Effortlessly with AllMetal3D on Vecura
This update enables structural biologists and protein engineers to accurately predict metal-ion and water binding sites through a simplified, guided workflow on Vecura, eliminating the need for complex local infrastructure or GPU setup.
アップデート
Nesso-1 Is Now Available on Vecura: Fast Protein–Ligand Binding Affinity Prediction Without the Infrastructure Hassle
This update enables drug discovery researchers and computational chemists to predict protein–ligand binding affinity directly from sequence and molecular structure through a guided workflow inside Vecura, without setting up GPU clusters or complex technical infrastructure.
アップデート
AF2Dock Is Now Available on Vecura
This update enables structural biologists, antibody engineers, and drug discovery researchers to predict protein-protein docking poses from monomer structures through a guided workflow inside Vecura, without setting up complex GPU infrastructure or computing multiple sequence alignments.
アップデート
GeoDock Is Now Available on Vecura
This update enables structural biologists, computational drug designers, and biotech researchers to predict how two protein structures dock into a complex—complete with residue-level flexibility and per-residue confidence scores—through a guided workflow inside Vecura, without setting up complex GPU infrastructure or multiple-sequence alignment pipelines.
アップデート
Advanced Cyclic Peptide Structure Prediction with HighFold Now Available on Vecura
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
OmegaFold Now Available on Vecura: De Novo Protein Structure Prediction Made Simple
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
Advancing Structure-Free Docking: FlowDock is Now Available on Vecura
This update enables computational biologists and drug discovery researchers to predict protein-ligand binding poses and affinity directly through a guided workflow on Vecura, eliminating the need to manage complex, resource-intensive infrastructure.