Individual-site binding data and the energetics of protein–DNA interactions

Individual-site isotherms for the binding of bacteriophage λ repressor to the left and right λ operators have been determined [D. F. Senear, M. Brenowitz, M. A. Shea, and G. K. Ackers (1986) Biochemistry, Vol. 25, pp. 7344–7354.] using the DNAse protection technique [ footprinting; D. J. Galas and A. Schmitz (1978) Nucleic Acids Research, Vol. 5, pp. 3157–3170]. These extensive data have been interpreted with a quantitative model that emphasized cooperative interactions between adjacently bound ligands [occupied ? occupied interactions; G. K. Ackers, A. D. Johnson, and M. A. Shea (1982) Proceedings of the National Academy of Science, USA, Vol. 79, pp. 1129–1133]. Overlooked in this model are the effects of cooperative interactions between a site containing a bound ligand and its neighboring unoccupied site (occupied ? unoccupied interactions). This paper reinterprets the existing data with a model that considers occupied ? unoccupied as well as occupied ? occupied interactions. The results yield parameters that differ substantially from those already reported. A discussion on the advisability of ignoring occupied ? unoccupied interactions is included. © 1993 John Wiley & Sons, Inc.     

Mass spectrometry-based footprinting of protein–protein interactions

We present a high-resolution mass spectrometric (MS) footprinting method enabling identification of contact amino acids in protein–protein complexes. The method is based on comparing surface topologies of a free protein versus its complex with the binding partner using differential accessibility of small chemical group selective modifying reagents. Subsequent MS analysis reveals the individual amino acids selectively shielded from modification in the protein–protein complex. The current report focuses on probing interactions between full-length HIV-1 integrase and its principal cellular partner lens epithelium-derived growth factor. This method has a generic application and is particularly attractive for studying large protein–protein interactions that are less amenable for crystallographic or NMR analysis.     

Diffusion-controlled protein–DNA association: Influence of segemental diffusion of the DNA

The intrachain reaction theory of Wilemki and Fixman [(1974) J. Chem. Phys. 60 , 866–877] is used to assess the influence of internal DNA motions on various protein–DNA association schemes. It is found that, for large proteins, the diffusional association rate can be totally dominated by these motions rather than by the free-trans-lational diffusion rates. Also, the time required for the diffusion together of two DNA segments is estimated. This estimate can be used to provide an upper limit for the rate of intrachain cyclization, and also for the effective intrachain transfer rate of a protein bound to a DNA chain.     

UPA, a universal protein array system for quantitative detection of protein–protein, protein–DNA, protein–RNA and protein–ligand interactions

Protein–protein interactions have been widely used to study gene expression pathways and may be considered as a new approach to drug discovery. Here I report the development of a universal protein array (UPA) system that provides a sensitive, quantitative, multi-purpose, effective and easy technology to determine not only specific protein–protein interactions, but also specific interactions of proteins with DNA, RNA, ligands and other small chemicals. (i) Since purified proteins are used, the results can be easily interpreted. (ii) UPA can be used multiple times for different targets, making it economically affordable for most laboratories, hospitals and biotechnology companies. (iii) Unlike DNA chips or DNA microarrays, no additional instrumentation is required. (iv) Since the UPA uses active proteins (without denaturation and renaturation), it is more sensitive compared with most existing methods. (v) Because the UPA can analyze hundreds (even thousands on a protein microarray) of proteins in a single experiment, it is a very effective method to screen proteins as drug targets in cancer and other human diseases.     

Reconstructing the protein–water interface

Using molecular dynamics simulations of fully hydrated proteins and analysis of crystal structures contained in the Protein Data Bank, we develop a transferable set of perpendicular radial distribution functions for water molecules around globular proteins. These universal functions may be used to reconstruct the unique three-dimensional solvent density distribution around every individual protein with a modest error. We discuss potential applications of this solvent treatment in protein x-ray crystallographic refinements and in theoretical modeling. We also present a fast, grid-based algorithm for construction of the perpendicular solvent density distributions. © 1998 John Wiley & Sons, Inc. Biopoly 45: 469–478, 1998     

Constraints imposed by non‐functional protein–protein interactions on gene expression and proteome size

Crowded intracellular environments present a challenge for proteins to form functional specific complexes while reducing non‐functional interactions with promiscuous non‐functional partners. Here we show how the need to minimize the waste of resources to non‐functional interactions limits the proteome diversity and the average concentration of co‐expressed and co‐localized proteins. Using the results of high‐throughput Yeast 2‐Hybrid experiments, we estimate the characteristic strength of non‐functional protein–protein interactions. By combining these data with the strengths of specific interactions, we assess the fraction of time proteins spend tied up in non‐functional interactions as a function of their overall concentration. This allows us to sketch the phase diagram for baker's yeast cells using the experimentally measured concentrations and subcellular localization of their proteins. The positions of yeast compartments on the phase diagram are consistent with our hypothesis that the yeast proteome has evolved to operate closely to the upper limit of its size, whereas keeping individual protein concentrations sufficiently low to reduce non‐functional interactions. These findings have implication for conceptual understanding of intracellular compartmentalization, multicellularity and differentiation.     

Information integration of protein–protein interactions as essential tools for immunomics

After a brief introduction to point out the necessity to advance for a global understanding of the macromolecular interactions occurring during the immune system development and responses, Section 2 will be devoted to analyse the current tools for an automatic location of information on these protein–protein interactions in the web. In the next section (Section 3), we will point out different action lines to improve these tools and, consequently, to increase the efficiency to establish (to understand) the “protein network skeleton” that controls our immune responses. Finally, we will briefly present our current strategy and work to advance towards this goal.     

Cavities in protein–DNA and protein–RNA interfaces

An analysis of cavities present in protein–DNA and protein–RNA complexes is presented. In terms of the number of cavities and their total volume, the interfaces formed in these complexes are akin to those in transient protein–protein heterocomplexes. With homodimeric proteins protein–DNA interfaces may contain cavities involving both the protein subunits and DNA, and these are more than twice as large as cavities involving a single protein subunit and DNA. A parameter, cavity index, measuring the degree of surface complementarity, indicates that the packing of atoms in protein–protein/DNA/RNA is very similar, but it is about two times less efficient in the permanent interfaces formed between subunits in homodimers. As within the tertiary structure and protein–protein interfaces, protein–DNA interfaces have a higher inclination to be lined by β-sheet residues; from the DNA side, base atoms, in particular those in minor grooves, have a higher tendency to be located in cavities. The larger cavities tend to be less spherical and solvated. A small fraction of water molecules are found to mediate hydrogen-bond interactions with both the components, suggesting their primary role is to fill in the void left due to the local non-complementary nature of the surface patches.     

Chemical approaches to deciphering the glycosaminoglycan code

Glycosaminoglycans are sulfated biopolymers with rich chemical diversity and complex functions in vivo, contributing to processes ranging from cell growth and neuronal development to viral invasion and neurodegenerative disease. Recent studies suggest that glycosaminoglycans may encode information in the form of a 'sulfation code,' whereby discrete modifications to the polysaccharide backbone may direct the location or activities of proteins.     

Energetics of protein–DNA interactions: An exact calculation for binding of ligands to a lattice of overlapping sites

Exact equal ions are developed for analyzing the binding of ligands to a linear lattice of overlapping sites in which occupied–unoccupied as well as occupied–occupied interactions are included for the analysis of the binding isotherms. We demonstrate that positive cooperativity on the binding of ligands to multiple sites may derive from either occupied–unoccupied or occupied–occupied interactions. When the binding of proteins to linear polynucleotides and DNA has exhibited positive cooperativity protein–protein (occupied–occupied), interactions have heretofore been invoked as the sole energetic source in determining the cooperative effect. Models and equations developed previously for the analysis of these binding isotherms have included only the protein–protein interactions (usually characterized with the symbol ω). The exact equations of this paper are capable of analyzing binding data in a manner to evaluate the relative importance of both occupied–unoccupied and occupied–occupied interactions Relations derived here are employed to analyze some existing data, and the resulting parameter values are compared to those developed with equations employing only the protein–protein (occupied–occupied) interactions. The resulting parameter values are qualitatively different. Values of the binding constants differ by about three orders of magnitude. When only protein–protein interactions are taken into account, the resulting free energy of interaction is negative, indicating attractive forces between bound protein molecules; when both occupied–unoccupied and occupied–occupied interactions are applied, the resulting free energies of interaction are positive, indicating destabilizing forces acting primarily on the polynucleotide lattice. © 1995 John Wiley & Sons, Inc.     

On the protein–protein diffusional encounter complex

When two proteins diffuse together to form a bound complex, an intermediate is formed at the end‐point of diffusional association which is called the encounter complex. Its characteristics are important in determining association rates, yet its structure cannot be directly observed experimentally. Here, we address the problem of how to construct the ensemble of three‐dimensional structures which constitute the protein–protein diffusional encounter complex using available experimental data describing the dependence of protein association rates on mutation and on solvent ionic strength and viscosity. The magnitude of the association rates is fitted well using a variety of definitions of encounter complexes in which the two proteins are located at up to about 17 Å root‐mean‐squared distance from their relative arrangement in the bound complex. Analysis of the ionic strength dependence of bimolecular association rates shows that this is determined to a greater extent by the (protein charge) – (salt ion) separation distance than by the protein–protein charge separation distance. Consequently, ionic strength dependence of association rates provides little information about the geometry of the encounter complex. On the other hand, experimental data on electrostatic rate enhancement, mutation and viscosity dependence suggest a model of the encounter complex in which the two proteins form a subset of the contacts present in the bound complex and are significantly desolvated. Copyright © 1999 John Wiley & Sons, Ltd.     

Accurate prediction of protein–protein interactions from sequence alignments using a Bayesian method

Accurate and large‐scale prediction of protein–protein interactions directly from amino‐acid sequences is one of the great challenges in computational biology. Here we present a new Bayesian network method that predicts interaction partners using only multiple alignments of amino‐acid sequences of interacting protein domains, without tunable parameters, and without the need for any training examples. We first apply the method to bacterial two‐component systems and comprehensively reconstruct two‐component signaling networks across all sequenced bacteria. Comparisons of our predictions with known interactions show that our method infers interaction partners genome‐wide with high accuracy. To demonstrate the general applicability of our method we show that it also accurately predicts interaction partners in a recent dataset of polyketide synthases. Analysis of the predicted genome‐wide two‐component signaling networks shows that cognates (interacting kinase/regulator pairs, which lie adjacent on the genome) and orphans (which lie isolated) form two relatively independent components of the signaling network in each genome. In addition, while most genes are predicted to have only a small number of interaction partners, we find that 10% of orphans form a separate class of ‘hub’ nodes that distribute and integrate signals to and from up to tens of different interaction partners.