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DeepChain

AI tools for life-science research, covering genomics, proteomics, protein folding, antibody design, and peptide sequencing.

DeepChain

DeepChain provides biology-focused AI models and workflows for genomics, drug discovery, proteomics, therapeutics, diagnostics, and agricultural research. Its tools include nucleotide transformers, protein generation, protein folding, antibody design, and de novo peptide sequencing.

Researchers can use DeepChain to analyze genomic data, design protein and antibody candidates, process peptide-sequencing data, and run high-throughput folding workflows. The site does not publish subscription pricing or describe a self-serve commercial plan; users are directed to contact the team.

Features

  • Analyzes genomic sequences at single-nucleotide resolution
  • Designs novel protein sequences with ProtBFN
  • Folds proteins and ligands with batch processing and monitoring
  • Generates antibody candidates with multi-objective conditioning
  • Sequences peptides without reference databases
  • Supports supervised fine-tuning for task-specific models
  • Provides an interactive AbBFN2 antibody-design server

Use cases

  • Prioritize genomic variants for agricultural research
  • Design antibody candidates for therapeutic development
  • Generate and evaluate novel protein sequences
  • Analyze peptide spectra in proteomics workflows
  • Compare protein-folding models for drug discovery
  • Guide diagnostic and biomarker research

Pros

    Cons

      Pricing

      Official website