Novel Computational Methods to Design Protein-Protein Interactions

Computational methods for predicting protein-protein interactions.

Protein-protein interactions (PPIs) play a critical role in many cellular functions. A number of experimental techniques have been applied to discover PPIs; however, these techniques are expensive in terms of time, money, and expertise. There are also large discrepancies between the PPI data collected by the same or different techniques in the same organism. We therefore turn to computational t...

Computational drug design targeting protein-protein interactions.

Novel discoveries in molecular disease pathways within the cell, combined with increasing information regarding protein binding partners has lead to a new approach in drug discovery. There is interest in designing drugs to modulate protein-protein interactions as opposed to solely targeting the catalytic active site within a single enzyme or protein. There are many challenges in this new approa...

Computational design of protein-protein interactions.

A long-term aim of computational design is to generate specific protein-protein interactions at desired affinity, specificity, and kinetics. The past three years have seen the first reports on atomically accurate de novo interactions. These were based on advances in design algorithms and the ability to harness high-throughput experimental characterization of design variants to optimize binding....

Computational methods of analysis of protein-protein interactions.

Computational methods play an important role at all stages of the process of determining protein-protein interactions. They are used to predict potential interactions, to validate the results of high-throughput interaction screens and to analyze the protein networks inferred from interaction databases.

Inferring Protein-Protein Interactions (PPIs) Based on Computational Methods