Updates
Perspectives and deep dives on the models powering AI for life science discovery.
Updates
This update enables medicinal chemists and computational biologists to generate novel, chemically valid drug candidates directly inside protein binding pockets through a guided, no-code workflow inside Vecura — without setting up complex technical infrastructure, GPU servers, or Python environments.
Updates
This update enables drug discovery researchers and computational chemists to design novel 3D bioactive molecules directly within the binding pockets of target proteins through a guided, cloud-native workflow on Vecura, eliminating the need for complex local infrastructure setup.
Updates
This update enables researchers and protein engineers to perform rapid, MSA-free single-chain protein structure prediction directly within the Vecura workflow, eliminating the need to manage complex GPU infrastructure or deep learning dependencies.
Updates
This update enables antibody researchers and drug discovery scientists to explore a vast landscape of known antibody sequences and structures through a guided, no-code workflow on Vecura.
Updates
This update enables structural biologists, protein engineers, and computational biologists to predict protein contacts, assess mutation effects, and generate 3D structure models through a guided coevolutionary analysis workflow inside Vecura — without setting up complex computational infrastructure or managing large sequence databases.
Updates
Researchers and bioengineers can now perform rapid, uncertainty-aware prediction of enzyme kinetic parameters (kcat, Km, Ki) directly within Vecura, eliminating the need for complex local infrastructure or costly initial wet-lab assays.
Updates
This update allows antibody engineers and researchers to seamlessly perform fast, gene-specific antibody humanization directly within the Vecura platform, bypassing the need for complex, manual technical setup.
Updates
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.
Updates
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.
Updates
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.
Updates
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.
Updates
This update enables computational biologists and structural bioinformaticians to convert coarse-grained protein models into full-atom structures through a guided workflow inside Vecura, without setting up complex technical infrastructure.