Predicting the structure and thermodynamics of protein–protein interactions (PPIs) are key to
a proper understanding and modulation of their function. Since experimental methods might …

Progress in technology and algorithms throughout the past decade has transformed the field
of protein design and engineering. Computational approaches have become well-engrained …

Protein–protein Interactions are involved in most fundamental biological processes, with
disease causing mutations enriched at their interfaces. Here we present mCSM-PPI2, a …

Modeling the impact of amino acid mutations on protein-protein interaction plays a crucial
role in protein engineering and drug design. In this study, we develop GeoPPI, a novel …

Missense mutations may affect proteostasis by destabilizing or over-stabilizing protein
complexes and changing the pathway flux. Predicting the effects of stabilizing mutations on …

Enzymatic stereodivergent synthesis to access all possible product stereoisomers bearing
multiple stereocenters is relatively undeveloped, although enzymes are being increasingly …

Mutations of TSC1 and TSC2 genes cause classical Tuberous Sclerosis Complex (TSC), a
neurocutaneous disorder characterized by a tendency to develop hamartias, hamartomas …

Protein–protein interactions (PPIs) play a significant role in nearly all cellular and biological
activities. Data-driven machine learning models have demonstrated great power in PPIs …

The functional impact of protein mutations is reflected on the alteration of conformation and
thermodynamics of protein–protein interactions (PPIs). Quantifying the changes of two …

Many crucial biological processes rely on networks of protein-protein interactions. Predicting
the effect of amino acid mutations on protein-protein binding is important in protein …