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Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
datasw, a tool for rapid processing of HPLC-SAXS data.
Small-angle X-ray scattering (SAXS) in solution is a common low-resolution method which can efficiently complement high-resolution information obtained by crystallography or NMR. Sample monodispersity is key to reliable SAXS data interpretation and model building. Beamline setups with inline high-performance liquid chromatography (HPLC) are particularly useful for accurate profiling of heterogeneous samples. The program DATASW performs averaging of individual data frames from HPLC-SAXS...
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gMol is an interactive visualization system used to display and manipulate 3-dimensional models of scientific data, such as molecular structures and surfaces. It contains both OpenGL and web browser widgets that enable flexible user interfaces.
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This project is the implementation of The Virtual Collaborative Environment (VCE) which supports clinical applications of 3D modeling in medicine. The system is based on three layer client-server architecture.
Mito-MAS-m is a simulator of the mitochondrial inner membrane and the enzymatic complexes embedded in it, implementing a coarse-grained (CG) model of the molecules using rigid structures and Dissipative Particules Dynamics (DPD) as motion equation.
SIMRI: a versatile and interactive Magnetic Resonance Imaging (MRI) simulator.
Such a simulator is a command line software written in C that reproduces the physical phenomenas encountered during an MRI acquisition to produce a realistic MRI image.
The Synaptic Simulator is a program which simulates models of single neuronal synapses and compartments, complex constructs of such models. Furthermore the program is able to regain parameters by fitting simulated results with experimental data.
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