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关于驱动生命科学探索 AI 的模型的观点与深度解析
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The integration of Genie 3 into Vecura allows researchers and protein engineers to perform high-speed de novo protein design—including unconditional generation, motif scaffolding, and binder design—through a streamlined, accessible interface.
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This update empowers protein engineers and computational biologists to design novel protein sequences and structures through a streamlined, guided workflow on Vecura, eliminating the need to manage complex GPU-heavy technical stacks.
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This update allows drug discovery researchers to perform state-of-the-art protein-ligand binding affinity scoring directly within the Vecura platform, eliminating the need to manage complex GPU-based inference pipelines.
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This update enables structural biologists and antibody engineers to rapidly rank antibody-antigen docking poses through a streamlined, guided workflow inside Vecura, eliminating the need to manage complex, resource-intensive computational infrastructure.
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This update enables antibody researchers and protein engineers to rapidly identify sequence-identical matches within massive antibody databases through a guided, high-performance workflow inside Vecura, eliminating the need for complex local infrastructure or manual database management.
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BioPhi is now integrated into Vecura, enabling researchers to optimize antibody candidates and assess their human-likeness through a streamlined, user-friendly workflow without the need for complex local infrastructure.
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This update allows immunologists and cancer researchers to evaluate peptide immunogenicity and generate novel vaccine candidates directly through Vecura, eliminating the need for complex local infrastructure setup.
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This update enables structural biologists and bioinformatics researchers to generate high-quality protein sequence alignments and structural templates directly through Vecura, eliminating the need to manage complex, hardware-intensive infrastructure.
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This update enables protein engineers and molecular biologists to predict the functional impact of mutations through a guided workflow inside Vecura, eliminating the need for complex technical infrastructure.
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This update enables researchers and structural biologists to perform unified, sequence-independent structural and sequence alignments of proteins, RNA, and DNA through a guided workflow inside Vecura, without setting up complex technical infrastructure.
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This update enables bioinformaticians and molecular biologists to perform high-accuracy multiple sequence alignments and generate confidence-weighted ensembles directly within Vecura, eliminating the need for complex command-line infrastructure.
产品更新
This update allows structural biologists and computational researchers to predict 3D biomolecular complexes directly within Vecura, removing the burden of managing complex technical environments or infrastructure.