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 cancer biologists to predict drug-combination synergy through a streamlined workflow on Vecura, eliminating the need to set up complex deep-learning infrastructure.
アップデート
This update empowers protein engineers and computational biologists to conduct high-throughput, in silico site-saturation mutagenesis through a streamlined workflow on Vecura, eliminating the need to manage complex computational pipelines or heavy infrastructure.
アップデート
This update enables bioinformaticians and molecular biologists to perform rapid, high-precision gene set enrichment analysis directly within the Vecura workflow, eliminating the need for manual R environment configuration.
アップデート
This update enables computational biologists and medicinal chemists to rapidly predict 3D biomolecular structures and binding affinities through a streamlined workflow on Vecura, eliminating the need for complex, manual infrastructure setup.
アップデート
This update enables antibody researchers and protein engineers to streamline sequence analysis and design through a guided, no-code workflow on Vecura, eliminating the need to manage complex local model infrastructure.
アップデート
This update enables structural biologists and protein engineers to rapidly predict 3D protein structures through a streamlined workflow on Vecura, eliminating the need for complex MSA-based computational pipelines.
アップデート
Antibody researchers can now generate diverse, structurally-compatible antibody sequences directly within Vecura using the AntiDIF model, bypassing the need for complex local infrastructure setup.
アップデート
This update allows structural biologists and protein engineers to perform sophisticated all-atom protein complex design and folding directly within Vecura, eliminating the need to manage complex GPU-intensive infrastructure.
アップデート
This update enables researchers and drug discovery scientists to generate high-resolution 3D protein structures directly within the Vecura platform, streamlining structural biology workflows without the burden of managing complex computational infrastructure.
アップデート
This update empowers protein engineers and computational biologists to prioritize high-potential mutation candidates through a guided, zero-shot workflow on Vecura, eliminating the need for complex infrastructure or multiple-sequence alignment.
アップデート
This update enables protein engineers and computational biologists to design and score antibody and nanobody sequences through a guided, accessible workflow inside Vecura, eliminating the need for complex technical infrastructure.