Biology subjects

Zolkin, K.

Publications and source records attributed to Zolkin, K..

4 recordsLinked to original sources

bioRxiv2026

Cell-free pathway prototyping enables cost-effective biomanufacturing of 1,2,4-butanetriol at the 1-L scale

Biomanufacturing offers sustainable alternatives to chemical synthesis under lower temperatures and pressures than traditional catalytic methods. However, the slow pace and iterative engineering bottlenecks of cell strain development restrict the feasible biological design space. Cell-free systems circumvent these constraints, providing a flexible and high-throughput screening approach to accelerate pathway prototyping and enzyme optimization but are not typically used for manufacturing scale-up. To understand the scalability of cell-free biosynthesis, we establish an end-to-end fully cell-free architecture to discover, develop, and scale the biosynthesis of 1,2,4-butanetriol (BT), a high-value industrial platform chemical. First, we systematically screened ~150 enzymes across the 4-step pathway from xylose to BT to identify highly active homologs for each reaction. Next, we applied statistical Design of Experiments to optimize reaction formulations for cost and titer. Finally, the maximum-titer and minimum-cost formulations were scaled up across five orders of magnitude, from 10-{micro}L to 1-L reactions. This resulted in peak volumetric productivities of ~1 g/L/h and yields over 13 g of BT in a single 1-L reaction, with raw substrate costs totaling just $3.00 per liter. This work expands the diversity of enzymes tested for BT synthesis and establishes a blueprint for advancing industrial biochemical manufacturing fully in vitro.

synthetic biology↗

bioRxiv2026

Machine learning guided cell-free expression maps the biochemical landscape of carbonic anhydrase

Carbonic anhydrases are among the fastest known biocatalysts, reversibly facilitating the hydration of CO2 to HCO3- at rates up to 107 s-1, which warrants their investigation for industrial carbon capture technologies. However, engineering carbonic anhydrases to maintain stability under harsh industrial process conditions remains a key challenge, and sequence-to-function datasets compatible with machine learning to inform forward engineering are lacking. Here, we developed a high-throughput platform that couples cell-free gene expression with a gaseous CO2 colorimetric assay to map the fitness landscapes of carbonic anhydrases. From 96 diverse natural homologs, we identified a robust variant from the Aquificota phylum and conducted an exhaustive mutational scan and functional assessment of this enzyme at 70{degrees}C and 90{degrees}C, covering >99% of all single-amino acid substitutions (totaling 4,365 mutations assayed in 39,285 reactions). This biochemical landscape was used to benchmark 22 zero-shot protein fitness models and identify critical mutations that improved enzyme stability at 90{degrees}C by more than three-fold. We then used both zero-shot protein language models and supervised learning to filter 419 model-generated variants from a ProteinMPNN library of 100,000 sequences, leading to a best-in-class enzyme that retained activity after incubation at 95{degrees}C. This work demonstrates that integrating cell-free enzyme engineering with machine learning enables opportunities for high-throughput experimental measurements to benchmark and improve protein language models, accelerate design loops, and expand functional exploration within protein families where experimental information is limited.

synthetic biology↗

bioRxiv2021

Synergistic Enzyme Mixtures to Realize Near-Complete Depolymerization in Biodegradable Polymer/Additive Blends

Embedding catalysts inside of plastics affords accelerated chemical modification with programmable latency and pathways. Nanoscopically embedded enzymes can lead to near complete degradation of polyesters via chain-end mediated processive depolymerization. The overall degradation rate and pathways have a strong dependence on the morphology of semi-crystalline polyesters. Yet, most studies to date focus on pristine polymers instead of mixtures with additives and other components despite their nearly universal uses in plastic production. Here, additives are introduced to purposely change the morphology of polycaprolactone (PCL) by increasing the bending and twisting of crystalline lamellae. These morphological changes immobilize chain-ends preferentially at the crystalline/amorphous interfaces and limit chain-end accessibility by the embedded processive enzyme. This chain end redistribution reduces the polymer-to-monomer conversion from >95% to less than 50%, causing formation of highly crystalline plastic pieces including microplastics. By synergizing both random chain scission and processive depolymerization, it is feasible to navigate morphological changes in polymer/additive blends and to achieve near complete depolymerization. The random scission enzymes in the amorphous domains create new chain ends that are subsequently bound and depolymerized by processive enzymes. Present studies further highlight the importance to consider host polymer morphological effects on the reactions catalyzed by embedded catalytic species.

bioengineering↗

bioRxiv2020

Embedded Enzyme Nanoclusters Depolymerize Polyesters via Chain-End Mediated Processive Degradation

Many bioactive elements, long perceived as non-viable for material development, are now emerging as viable building blocks to encode material lifecycle and to ensure our harmonious existence with nature. Yet, there is a significant knowledge gap on how bio-elements interface with synthetic counterparts and function outside of their native environments. Here, we show that when enzymes are dispersed as nanoclusters confined within macromolecular matrices, their reaction kinetics, pathway, and substrate selectivity can be modulated to achieve programmable polymer degradation down to repolymerizable small molecules. Specifically, when enzyme nanoclusters are dispersed in trace amount (~0.02 wt%) in polyesters, i.e. poly(caprolactone) (PCL) and poly(lactic acid) (PLA), chain-end mediated processive depolymerization can be realized, leading to scalable bioactive plastics for efficient sorting, such as recovery of precious metal filler from flexible electronics. Present studies demonstrate that when the enzyme is confined at dimensions similar to that of polymer chains, their behaviors are governed by the polymer conformation, segmental dynamic and thermal history, highlighting the importance to consider bioactive plastics differently from solution enzymology.

bioengineering↗