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Vecura
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更新

来自 Vecura 团队的笔记

关于驱动生命科学探索 AI 的模型的观点与深度解析

产品更新

MAGE is Now Available on Vecura: Accelerating Monoclonal Antibody Design

This update enables immunologists and biopharma researchers to design novel, paired heavy-light antibody variable-region sequences through a guided workflow inside Vecura, without setting up complex technical infrastructure.

Aug 31, 2026

产品更新

US-align is now available on Vecura for Universal Structure Alignment

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.

Aug 31, 2026

产品更新

NAMI is Now Live on Vecura: Simplify Large-Scale Chemical Library Clustering and Chemical Space Visualization

This update enables cheminformaticians and computational drug discoverers to cluster massive small-molecule datasets and map their chemical space through a guided workflow inside Vecura, without setting up complex technical infrastructure.

Aug 27, 2026

产品更新

Harnessing Advanced Macromolecular Docking with LightDock on Vecura

This update allows researchers and bioinformaticians to perform advanced protein-protein and protein-DNA docking through an automated, streamlined pipeline in Vecura, eliminating the need to manage complex simulation environments.

Aug 27, 2026

产品更新

Simplify Your Cryo-EM Pipeline with DeepEMhancer on Vecura

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.

Aug 25, 2026

产品更新

Streamline Your Structural Biology Workflows with PDBFixer on Vecura

This update enables structural biologists and researchers to effortlessly prepare PDB files for molecular dynamics simulations through a guided workflow on Vecura, eliminating the need to set up complex local software environments.

Aug 25, 2026

产品更新

Accelerate Protein Design with FrameFlow, Now Available on Vecura

This update enables protein engineers and structural biologists to design novel protein backbones and complex motif-constrained scaffolds directly within the Vecura platform, bypassing the need for complex local infrastructure or manual CUDA environment management.

Aug 24, 2026

产品更新

Streamline Antibody Humanization with BioPhi on Vecura

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.

Aug 24, 2026

产品更新

Advanced Protein-Ligand Docking with SurfDock is Now Available on Vecura

This integration enables medicinal chemists and structural biologists to perform high-precision protein-ligand docking and virtual screening directly through Vecura, eliminating the need for complex software stack installation or high-end infrastructure management.

Aug 23, 2026

产品更新

EquiDock is Now Available on Vecura

This update enables structural biologists, drug discovery researchers, and computational biologists to predict protein-protein docking poses through a guided workflow inside Vecura, without setting up complex technical infrastructure or managing dependencies.

Aug 22, 2026

产品更新

QupKake is now available on Vecura

This update enables chemists and researchers to predict the micro-pKa values of organic molecules through a guided workflow inside Vecura, without setting up complex technical infrastructure.

Aug 19, 2026

产品更新

Advanced Protein-Ligand Docking with smina: Now Available on Vecura

This update allows medicinal chemists and researchers to perform high-accuracy protein-ligand docking and pose refinement directly within the Vecura platform, eliminating the need for complex software installation or infrastructure management.

Aug 19, 2026
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Vecura

产品

  • 解决方案
  • 定价

公司

  • 联系我们
  • 学术研究计划

资源

  • 更新
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  • AI4Life Bootcamp
  • 社区

法律条款

  • 隐私政策
  • 服务条款
  • 引用指南
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© 2026 NYB AI 保留所有权利。

所有系统运行正常