Format git commit messages following Conventional Commits 1.0.0 specification. Use when the user asks to commit changes, create a git commit, or mentions committing code. Ensures consistent, semantic commit messages that support automated changelog generation and semantic versioning.
WHAT YOU BECOME
Perfect for these scenarios
Design efficient metabolic pathways for biofuel or pharmaceutical production
Predict essential genes in pathogens for novel antimicrobial drug development
Simulate gene knockouts to enhance microbial production yields
Explore metabolic network capabilities under varying environmental conditions
MEASURED GAIN
Proven benefits and measurable impact
Reduce time spent on trial-and-error metabolic engineering experiments
Minimize expensive wet lab experiments through in-silico predictions
Increase likelihood of achieving target production yields in engineered strains
WHAT YOU GET
Files, tags and the three-step install
Tip: Read the documentation and the code before first use, so you know what it does and which permissions it needs.
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Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.