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Genophore

Genophore Inc. integrates biological databases with data visualization and bioinformatics tools to streamline life sciences research workflows. By leveraging AI and machine learning, the company enhances collaboration and accelerates the transition of discoveries from the lab to market.

San Diego, United StatesFounded 201943K+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Life sciences research is often hampered by disconnected biological databases, inefficient data visualization tools, and fragmented bioinformatics workflows. This lack of integration slows down research, hinders collaboration, and delays the transition of lab discoveries to market.

Solution

Genophore provides a cloud-based platform that integrates biological databases with data visualization and bioinformatics tools, streamlining research workflows for life sciences. The platform offers a unified workspace where scientists can visualize, manipulate, and engineer biologics molecules and data. By centralizing data and providing tools for interactive and generative design, Genophore facilitates collaboration, enhances data integrity, and accelerates research outcomes. The platform's capabilities span from genetic manipulations of biological molecules to computational analysis and automated documentation of experiments, all within a secure, collaborative environment.

Target Audience

Genophore targets researchers, scientists, and drug developers in biopharmaceutical, biotechnology, and life sciences organizations who need to streamline research workflows, enhance collaboration, and accelerate drug discovery.

Features

  • Interactive visualization of DNA and protein sequences with chemical modification support
  • Tools for designing plasmids and protein constructs using curated DNA and protein parts
  • Automated DNA sequence manipulation and cloning process
  • AI-powered tools for protein structure prediction, sequence generation, and binding site identification
  • Integration with public databases such as UniProt, Chembl, NCBI, BLAST, and PDB
  • Electronic lab notebook for recording experiments and displaying designed sequences
  • Workflow builder for visually creating protein production and purification workflows with drag-and-drop components
  • Customizable experimental data models for protein production, characterization, and assay results
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