Native mass spectrometry for understanding dynamic protein complex

Biomolecules have evolved to perform specific and sophisticated activities in a highly coordinated manner organizing into multi-component complexes consisting of proteins, nucleic acids, cofactors or ligands. Understanding such complexes represents a task in earnest for modern bioscience. Traditional structural techniques when extrapolating to macromolecules of ever increasing sizes are confronted with limitations posed by the difficulty in enrichment, solubility, stability as well as lack of homogeneity of these complexes. Alternative approaches are therefore prompted to bridge the gap, one of which is native mass spectrometry. Here we demonstrate the strength of native mass spectrometry, used alone or in combination with other biophysical methods such as analytical ultracentrifugation, small-angle neutron scattering, and small-angle X-ray scattering etc., in addressing dynamic aspects of protein complexes including structural reorganization, subunit exchange, as well as the assembly/disassembly processes in solution that are dictated by transient non-covalent interactions. We review recent studies from our laboratories and others applying native mass spectrometry to both soluble and membrane-embedded assemblies. This article is part of a Special Issue entitled "Biophysical Exploration of Dynamical Ordering of Biomolecular Systems" edited by Dr. Koichi Kato.

Integrating computational methods and experimental data for understanding the recognition mechanism and binding affinity of protein-protein complexes

Protein-protein interactions perform several functions inside the cell. Understanding the recognition mechanism and binding affinity of protein-protein complexes is a challenging problem in experimental and computational biology. In this review, we focus on two aspects (i) understanding the recognition mechanism and (ii) predicting the binding affinity. The first part deals with computational techniques for identifying the binding site residues and the contribution of important interactions for understanding the recognition mechanism of protein-protein complexes in comparison with experimental observations. The second part is devoted to the methods developed for discriminating high and low affinity complexes, and predicting the binding affinity of protein-protein complexes using three-dimensional structural information and just from the amino acid sequence. The overall view enhances our understanding of the integration of experimental data and computational methods, recognition mechanism of protein-protein complexes and the binding affinity.