HTP Genomic Engineering Platform for Microbial Strain Rehabilitation

The patent extracts and removes detrimental mutations from industrial microbial strains through targeted gene editing techniques. By identifying and eliminating harmful genetic alterations accumulated during traditional mutagenesis, the strain is rehabilitated to restore its original performance potential while removing the mutagenic burden that was stagnating further improvement.

The patent applies precise parameter changes to microbial genomes by introducing specific point mutations, deletions, or modifications at targeted locations using advanced gene editing tools. This allows for controlled optimization of biosynthetic pathways without the random, haphazard changes characteristic of traditional mutagenesis, thereby improving productivity without accumulating detrimental mutagenic load.

The patent performs preliminary computational analysis and in silico screening to identify promising genetic modifications before implementing them in actual microbial strains. By pre-screening potential gene edits using bioinformatics tools and predictive models, the research team can prioritize the most promising candidates for experimental validation, dramatically reducing the time and resources required for strain improvement.

The patent replaces traditional mechanical and chemical mutagenesis methods with computational and information-based approaches. By using bioinformatics, machine learning algorithms, and in silico modeling to guide strain development, the process transitions from random, trial-and-error experimentation to a rational, predictive design approach that is both faster and more efficient.

The patent implements feedback loops where experimental results from microbial strain performance are fed back into computational models to refine predictions and guide subsequent genetic modifications. This iterative process uses real data from laboratory experiments to update and improve the accuracy of in silico predictions, creating a directed search strategy that learns from each iteration and becomes increasingly efficient at identifying beneficial mutations.

The patent develops a universal, multi-functional platform that integrates computational modeling, bioinformatics analysis, and experimental validation into a unified strain improvement workflow. This integrated system can be applied across different microbial species and biosynthetic pathways, providing a generalizable approach that directs the search for beneficial mutations in a systematic rather than haphazard manner.