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

Although the therapeutic efficacy and commercial success of monoclonal antibodies (mAbs)
are tremendous, the design and discovery of new candidates remain a time and cost …

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

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

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 …

It is now well established that the blood-clotting protein fibrinogen can polymerise into an
anomalous form of fibrin that is amyloid in character; the resultant clots and microclots entrap …

Protein aggregation is a topic of immense interest to the scientific community due to its role
in several neurodegenerative diseases/disorders and industrial importance. Several in silico …

Cardiac amyloidosis is an uncommon restrictive cardiomyopathy featuring an unregulated
amyloid protein deposition that impairs organic function. Early cardiac amyloidosis …

Motivation Proteins, the molecular workhorses of biological systems, execute a multitude of
critical functions dictated by their precise three-dimensional structures. In a complex and …

Short aggregation prone sequence motifs can trigger aggregation in peptide and protein
sequences. Most algorithms developed so far to identify potential aggregation prone regions …