Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …

Enzyme engineering plays a central role in developing efficient biocatalysts for
biotechnology, biomedicine, and life sciences. Apart from classical rational design and …

Motivation Poor protein solubility hinders the production of many therapeutic and industrially
useful proteins. Experimental efforts to increase solubility are plagued by low success rates …

Background Protein solubility is a precondition for efficient heterologous protein expression
at the basis of most industrial applications and for functional interpretation in basic research …

Natural enzymes are delicate biomolecules possessing only marginal thermodynamic
stability. Poorly stable, misfolded, and aggregated proteins lead to huge economic losses in …

Protein solubility is an important thermodynamic parameter that is critical for the
characterization of a protein's function, and a key determinant for the production yield of a …

Motivation Solubility and expression levels of proteins can be a limiting factor for large-scale
studies and industrial production. By determining the solubility and expression directly from …

There has been a remarkable increase in the number of biologics, especially monoclonal
antibodies, in the market over the last decade. In addition to attaining the desired binding to …

Protein solubility plays a crucial role in various biotechnological, industrial, and biomedical
applications. With the reduction in sequencing and gene synthesis costs, the adoption of …

Accurate protein solubility prediction is crucial in screening suitable candidates for food
application. Existing models often rely only on sequences, overlooking important structural …