Nabla Bio

Generates novel protein sequences with predicted functional properties based on machine learning models trained on biological sequence data. Produces sequences optimized for specified characteristics without requiring wet-lab experimentation.

Designs novel DNA sequences for genetic constructs, synthetic genes, and genomic modifications with optimized codon usage and regulatory elements. Generates sequences tailored for specific organisms and expression systems.

Predicts properties and characteristics of biological sequences including folding patterns, binding affinities, and functional annotations. Uses machine learning to infer sequence function without experimental characterization.

Optimizes microbial or cellular strains by generating sequences for metabolic engineering, pathway design, and genetic modifications. Predicts strain performance and generates candidate sequences for improved productivity.

Generates variants of existing biological sequences with predicted improvements in specific properties such as stability, activity, or expression level. Creates libraries of sequence variants for experimental screening.

Designs regulatory DNA elements including promoters, enhancers, and ribosome binding sites optimized for specific expression levels and cellular contexts. Generates regulatory sequences with predicted activity levels.

Optimizes biological sequences while respecting multiple constraints such as codon usage, GC content, secondary structure, and regulatory requirements. Generates sequences that satisfy competing design objectives.

Generates large numbers of biological sequences in batch mode for high-throughput design workflows. Processes multiple design requests simultaneously and outputs sequence libraries for synthesis.

Evaluates and scores generated sequences based on predicted likelihood of success, functional properties, and manufacturability. Provides confidence metrics and validation scores for sequence quality assessment.

Provides API access for integrating sequence design capabilities into existing research workflows and laboratory information management systems. Enables programmatic access to design functions for automation.