Protein-protein interactions; coupling of structurally conserved residues and of hot spots across interfaces. Implications for docking

Hot spot residues contribute dominantly to protein-protein interactions. Statistically, conserved residues correlate with hot spots, and their occurrence can distinguish between binding sites and the remainder of the protein surface. The hot spot and conservation analyses have been carried out on one side of the interface. Here, we show that both experimental hot spots and conserved residues tend to couple across two-chain interfaces. Intriguingly, the local packing density around both hot spots and conserved residues is higher than expected. We further observe a correlation between local packing density and experimental deltadeltaG. Favorable conserved pairs include Gly coupled with aromatics, charged and polar residues, as well as aromatic residue coupling. Remarkably, charged residue couples are underrepresented. Overall, protein-protein interactions appear to consist of regions of high and low packing density, with the hot spots organized in the former. The high local packing density in binding interfaces is reminiscent of protein cores.     

Protein-protein interaction network-based detection of functionally similar proteins within species

Although functionally similar proteins across species have been widely studied, functionally similar proteins within species showing low sequence similarity have not been examined in detail. Identification of these proteins is of significant importance for understanding biological functions, evolution of protein families, progression of co-evolution, and convergent evolution and others which cannot be obtained by detection of functionally similar proteins across species. Here, we explored a method of detecting functionally similar proteins within species based on graph theory. After denoting protein-protein interaction networks using graphs, we split the graphs into subgraphs using the 1-hop method. Proteins with functional similarities in a species were detected using a method of modified shortest path to compare these subgraphs and to find the eligible optimal results. Using seven protein-protein interaction networks and this method, some functionally similar proteins with low sequence similarity that cannot detected by sequence alignment were identified. By analyzing the results, we found that, sometimes, it is difficult to separate homologous from convergent evolution. Evaluation of the performance of our method by gene ontology term overlap showed that the precision of our method was excellent.     

Protein-protein interactions in membranes

In this article we review the current status of our understanding of membrane mediated interactions from theory and experiment. Phenomenological mean field and molecular models will be discussed and compared to recent experimental results from dynamical neutron scattering and atomic force microscopy.     

Protein-protein interactions in plants

The study of protein-protein interactions (PPIs) is essential to uncover unknown functions of proteins at the molecular level and to gain insight into complex cellular networks. Affinity purification and mass spectrometry (AP-MS), yeast two-hybrid, imaging approaches and numerous diverse databases have been developed as strategies to analyze PPIs. The past decade has seen an increase in the number of identified proteins with the development of MS and large-scale proteome analyses. Consequently, the false-positive protein identification rate has also increased. Therefore, the general consensus is to confirm PPI data using one or more independent approaches for an accurate evaluation. Furthermore, identifying minor PPIs is fundamental for understanding the functions of transient interactions and low-abundance proteins. Besides establishing PPI methodologies, we are now seeing the development of new methods and/or improvements in existing methods, which involve identifying minor proteins by MS, multidimensional protein identification technology or OFFGEL electrophoresis analyses, one-shot analysis with a long column or filter-aided sample preparation methods. These advanced techniques should allow thousands of proteins to be identified, whereas in-depth proteomic methods should permit the identification of transient binding or PPIs with weak affinity. Here, the current status of PPI analysis is reviewed and some advanced techniques are discussed briefly along with future challenges for plant proteomics.     

Protein-protein interactions in human disease

Many human diseases are the result of abnormal protein-protein interactions involving endogenous proteins, proteins from pathogens or both. The inhibition of these aberrant associations is of obvious clinical significance. Because of the diverse nature of protein-protein interactions, however, the successful design of therapeutics requires detailed knowledge of each system at a molecular and atomic level. Several recent studies have identified and/or characterised specific interactions from various disease systems, including cervical cancer, bacterial infection, leukaemia and neurodegenerative disease. A range of approaches are being developed to generate inhibitors of protein-protein interactions that may form useful therapeutics for human disease.     

Protein-protein interactions regulate Ubl conjugation

The ubiquitin-like proteins (Ubls) can be covalently linked to target proteins to provide a critical signal in diverse cellular processes. Members of the Ubl family include ubiquitin itself and a growing number of homologs such as SUMO, Nedd8, ISG15 and Atg8. The enzymatic mechanism of Ubl conjugation involves an E1, E2, E3 cascade of enzymes that is well conserved between the Ubls. In the past two years, novel structural details of Ubl conjugation were uncovered through analysis of protein-protein complexes. This has given insight in activation of E1, the role of the target lysine in E2-dependent catalysis, the role of noncovalent Ubl binding in Ubl chain formation and the importance of dimerization of Ring-type E3 ligases.     

Protein-protein interactions in signaling cascades

The process of signal transduction is dependent on specific protein-protein interactions. In many cases these interactions are mediated by modular protein domains that confer specific binding activity to the proteins in which they are found. Rapid progress has been made in the biochemical characterization of binding interactions, the identification of binding partners, and determination of the three-dimensional structures of binding modules and their ligands. The resulting information establishes the logical framework for our current understanding of the signal transduction machinery. In this overview a variety of protein interaction modules are discussed, and issues relating to binding specificity and the significance of a particular interaction are considered.     

Protein-protein interactions required during translation

Protein synthesis requires the involvement of numerous accessory factors that assist the ribosome in translation initiation, elongation, and termination. Extensive protein-protein and protein-RNA interactions are required to bring together the accessory factors, tRNAs, ribosomes, and mRNA into a productive complex and these interactions undergo dynamic alterations during each step of the translation initiation process. Initiation represents the most complex aspect of translation, requiring more accessory proteins, called initiation factors, than either elongation or termination. Not surprisingly, initiation is most often the rate-limiting step of translation and, as such, most (but not all) examples of translational regulation involve the regulation of protein-protein or protein-RNA interactions of the initiation complex. In this review, we focus on those interactions required for efficient translation initiation and how such interactions are regulated by developmental or environmental signals.     

Protein-protein interactions within paramyxoviruses identified by native disulfide bonding or reversible chemical cross-linking.

Analysis of native disulfide-bonded protein oligomers in paramyxoviruses showed that some viral proteins are consistently present as covalent complexes. In isolated Sendai virus the hemagglutinating protein HN is present in homodimeric and homotetrameric forms, and the minor nucleocapsid protein P exists partly as a monomer and partly as a disulfide-linked homotrimer. Similar disulfide-linked complexes were observed in Newcastle disease virus (strain HP-16), in which HN exists as a homodimer and some of the major nucleocapsid protein NP exists as a homotrimer. Noncovalent intermolecular interactions between proteins were studied with the reversible chemical cross-linkers dimethyl-3,3'-dithiobispropionimidate and methyl 3-[(p-azidophenyl)dithio]propionimidate, which contain disulfide bridges and a 1.1-nm separation between their functional groups. The same results were achieved with both reagents. The conditions of preparation, isolation, and storage of the viruses affected the protein-protein interactions observed upon cross-linking. Homooligomers of the glycoprotein F, the matrix protein M, and the major nucleocapsid protein NP were produced in both Sendai and Newcastle disease viruses after mild cross-linking of all viral preparations examined, but NP-M heterodimer formation in both viruses was most prevalent in early harvest preparations that were cross-linked soon after isolation. The ability of NP and M to form a heterodimer upon cross-linking indicates that the matrix protein layer lies in close proximity (within 1.1 nm) to the nucleocapsid in the newly formed virion. Some noncovalent intermolecular protein interactions in Sendai and Newcastle disease viruses, i.e., those leading to the formation of F, NP, and M homooliogmers upon cross-linking, are more stable to virus storage than others, i.e., those leading to the formation of an NP-M heterodimer upon cross-linking. The storage-induced loss of the ability of NP and M to form a heterodimer is not accompanied by any apparent loss of infectivity. This indicates that some spacial relationships which form during virus assembly can alter after particle formation and are not essential for the ensuing stages of the infectious process.     

Mechanisms underpinning climatic impacts on natural populations: altered species interactions are more important than direct effects

Shifts in species' distribution and abundance in response to climate change have been well documented, but the underpinning processes are still poorly understood. We present the results of a systematic literature review and meta‐analysis investigating the frequency and importance of different mechanisms by which climate has impacted natural populations. Most studies were from temperate latitudes of North America and Europe; almost half investigated bird populations. We found significantly greater support for indirect, biotic mechanisms than direct, abiotic mechanisms as mediators of the impact of climate on populations. In addition, biotic effects tended to have greater support than abiotic factors in studies of species from higher trophic levels. For primary consumers, the impact of climate was equally mediated by biotic and abiotic mechanisms, whereas for higher level consumers the mechanisms were most frequently biotic, such as predation or food availability. Biotic mechanisms were more frequently supported in studies that reported a directional trend in climate than in studies with no such climatic change, although sample sizes for this comparison were small. We call for more mechanistic studies of climate change impacts on populations, particularly in tropical systems.     

A scalable approach for discovering conserved active subnetworks across species

Overlaying differential changes in gene expression on protein interaction networks has proven to be a useful approach to interpreting the cell's dynamic response to a changing environment. Despite successes in finding active subnetworks in the context of a single species, the idea of overlaying lists of differentially expressed genes on networks has not yet been extended to support the analysis of multiple species' interaction networks. To address this problem, we designed a scalable, cross-species network search algorithm, neXus (Network-cross(X)-species-Search), that discovers conserved, active subnetworks based on parallel differential expression studies in multiple species. Our approach leverages functional linkage networks, which provide more comprehensive coverage of functional relationships than physical interaction networks by combining heterogeneous types of genomic data. We applied our cross-species approach to identify conserved modules that are differentially active in stem cells relative to differentiated cells based on parallel gene expression studies and functional linkage networks from mouse and human. We find hundreds of conserved active subnetworks enriched for stem cell-associated functions such as cell cycle, DNA repair, and chromatin modification processes. Using a variation of this approach, we also find a number of species-specific networks, which likely reflect mechanisms of stem cell function that have diverged between mouse and human. We assess the statistical significance of the subnetworks by comparing them with subnetworks discovered on random permutations of the differential expression data. We also describe several case examples that illustrate the utility of comparative analysis of active subnetworks.     

Evolutionarily conserved coding properties of auditory neurons across grasshopper species

We investigated encoding properties of identified auditory interneurons in two not closely related grasshopper species (Acrididae). The neurons can be homologized on the basis of their similar morphologies and physiologies. As test stimuli, we used the species-specific stridulation signals of Chorthippus biguttulus, which evidently are not relevant for the other species, Locusta migratoria. We recorded spike trains produced in response to these signals from several neuron types at the first levels of the auditory pathway in both species. Using a spike train metric to quantify differences between neuronal responses, we found a high similarity in the responses of homologous neurons: interspecific differences between the responses of homologous neurons in the two species were not significantly larger than intraspecific differences (between several specimens of a neuron in one species). These results suggest that the elements of the thoracic auditory pathway have been strongly conserved during the evolutionary divergence of these species. According to the 'efficient coding' hypothesis, an adaptation of the thoracic auditory pathway to the specific needs of acoustic communication could be expected. We conclude that there must have been stabilizing selective forces at work that conserved coding characteristics and prevented such an adaptation.