Identification of protein–protein interactions (PPIs) is at the center of molecular biology
considering the unquestionable role of proteins in cells. Combinatorial interactions result in …

Solvent accessible surface area (SASA) of proteins has always been considered as a
decisive factor in protein folding and stability studies. It is defined as the surface …

FTMap is a computational map** server that identifies binding hot spots of
macromolecules—ie, regions of the surface with major contributions to the ligand-binding …

Motivation The accuracy of predicting protein local and global structural properties such as
secondary structure and solvent accessible surface area has been stagnant for many years …

Posttranslational modifications offer a dynamic way to regulate protein activity, subcellular
localization, and stability. Here we estimate the effect of phosphorylation on protein binding …

Computationally modeling changes in binding free energies upon mutation (interface ΔΔ G)
allows large-scale prediction and perturbation of protein–protein interactions. Additionally …

Advances in sequencing techniques and statistical methods have made it possible not only
to predict sequences of ancestral proteins but also to identify thousands of mutations in the …

Predicting one-dimensional structure properties has played an important role to improve
prediction of protein three-dimensional structures and functions. The most commonly …

Motivation: Empirical models for the prediction of how changes in sequence alter protein–
protein binding kinetics and thermodynamics can garner insights into many aspects of …

Prediction of protein-protein interactions at the structural level on the proteome scale is
important because it allows prediction of protein function, helps drug discovery and takes …