Water solubility and structural stability are key merits for proteins defined by the primary
sequence and 3D-conformation. Their manipulation represents important aspects of the …

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

Beyond potency, a good developability profile is a key attribute of a biological drug.
Selecting and screening for such attributes early in the drug development process can save …

In most cases, protein aggregation stems from the establishment of non-native
intermolecular contacts. The formation of insoluble protein aggregates is associated with …

Amyloid proteins have the ability to form insoluble fibril aggregates that have important
pathogenic effects in many tissues. Such amyloidoses are prominently associated with …

Alzheimer's disease (AD) is a major cause of dementia inducing memory loss, cognitive
decline, and mortality among the aging population. While the amyloid aggregation of …

Machine learning has been recently used to predict therapeutic antibody aggregation rates
and viscosity at high concentrations (150 mg/ml). These works focused on commercially …

Polyethylene terephthalate (PET) is a widely used polyester due to its beneficial material
properties and low cost. However, PET contributes significantly to the growing problem of …

Antibody-based biotherapeutics have emerged as a successful class of pharmaceuticals
despite significant challenges and risks to their discovery and development. This review …

Recombinant proteins play pivotal roles in numerous applications including industrial
biocatalysts or therapeutics. Despite the recent progress in computational protein structure …