New methodologies for measuring protein interactions in vivo and in vitro

The identification and characterization of protein interactions is a key topic in current life science research; a huge variety of methodologies have been established in recent years to expedite research in this area. Generic methods have been established for monitoring protein interactions in vivo by protein fragment complementation and for screening protein interactions in vitro by highly parallel solid-phase techniques. Substantial progress has been made in identifying and characterizing interactions with and between membrane proteins. Studying protein interactions on the single-molecule level has become an important tool for understanding protein function in vivo and in vitro.     

Helix-coil transition theory including long-range electrostatic interactions: application to globular proteins

An extension of the Zimm–Bragg two-state theory for the helix–coil transition in polypeptides, which takes into account the effect of peptide charge–dipole interactions on helix stability, is presented. This new theory incorporates these interactions in an expression that is parameterized on recently obtained experimental data on polypeptides for which electrostatic effects are known to influence helix content. Unlike previous two-state or multistate models, which are parameterized on protein x-ray data, the present theoretical treatment in independent of such protein data. The theoretical model is applied to a series of peptides derived from the C-peptide of ribonuclease A, which have been the object of recent spectroscopic studies. The new theoretical approach can account for most of the structural information derived from studies of these C-peptides, and for overall average helix probabilities that are close in magnitude to those observed for these polypeptides in solution. An application of this new formulation for the prediction of the locations of α-helices in globular proteins from their amino acid sequence is also presented.     

Molecular mechanisms of membrane-associated amyloid aggregation: Computational perspective and challenges

Amyloidogenic proteins are related to a variety of amyloid diseases, such as type 2 diabetes (T2D), Alzheimer's disease (AD) and Parkinson's disease (PD). The amyloid proteins in which this review focuses include amylin, Aβ, tau and α-synuclein. Understanding the molecular mechanisms in which these amyloidogenic proteins interact with membranes is a challenging research to both experimental and computational studies. This review illustrates recent studies on amyloid-membrane interactions, but it mainly focuses on the challenge issues related to experimental techniques to investigate at the molecular level these interactions and provides thoughts and outlook for future computational studies.     

Structural energetics of the molten globule state

Certain partly ordered protein conformations, commonly called “moltenglobule states,” are widely believed to represent protein folding intermediates. Recentstructural studies of molten globule states ofdifferent proteins have revealed features whichappear to be general in scope. The emergingconsensus is that these partly ordered forms exhibit a high content of secondary structure, considerable compactness, nonspecific tertiary structure, and significant structural flexibility. These characteristics may be used to define ageneral state of protein folding called “the molten globule state,” which is structurally andthermodynamically distinct from both the native state and the denatured state. Despite exaatensive knowledge of structural features of afew molten globule states, a cogent thermodynamic argument for their stability has not yetbeen advanced. The prevailing opinion of thelast decade was that there is little or no enthalpy difference or heat capacity differencebetween the molten globule state and the unfolded state. This view, however, appears to beat variance with the existing database of protein structural energetics and with recent estimates of the energetics of denaturation of α-lactalbumin, cytochrome c, apomyoglobin, and T4 lysozyme. We discuss these four proteins at length. The results of structural studies, together with the existing thermodynamic values for fundamental interactions in proteins, provide the foundation for a structural thermodynamic framework which can account for the observed behavior of molten globule states. Within this framework, we analyze the physical basis for both the high stability of several molten globule states and the low probability of other protential folding intermediates. Additionally, we consider, in terms of reduced enthalpy changes and disrupted cooperative interactions, the thermodynamic basis for the apparent absence of a thermally induced, cooperative unfolding transition for some molten globule states. © 1993 Wiley-Liss, Inc.     

Genes2Networks: connecting lists of gene symbols using mammalian protein interactions databases

Background  

In recent years, mammalian protein-protein interaction network databases have been developed. The interactions in these databases are either extracted manually from low-throughput experimental biomedical research literature, extracted automatically from literature using techniques such as natural language processing (NLP), generated experimentally using high-throughput methods such as yeast-2-hybrid screens, or interactions are predicted using an assortment of computational approaches. Genes or proteins identified as significantly changing in proteomic experiments, or identified as susceptibility disease genes in genomic studies, can be placed in the context of protein interaction networks in order to assign these genes and proteins to pathways and protein complexes.     

Operational definition of intrinsically unstructured protein sequences based on susceptibility to the 20S proteasome

Intrinsically unstructured proteins (IUPs), also known as natively unfolded proteins, lack well-defined secondary and tertiary structure under physiological conditions. In recent years, growing experimental and theoretical evidence has accumulated, indicating that many entire proteins and protein sequences are unstructured under physiological conditions, and that they play significant roles in diverse cellular processes. Bioinformatic algorithms have been developed to identify such sequences in proteins for which structural data are lacking, but still generate substantial numbers of false positives and negatives. We describe here a simple and reliable in vitro assay for identifying IUP sequences based on their susceptibility to 20S proteasomal degradation. We show that 20S proteasomes digest IUP sequences, under conditions in which native, and even molten globule states, are resistant. Furthermore, we show that protein-protein interactions can protect IUPs against 20S proteasomal action. Taken together, our results thus suggest that the 20S proteasome degradation assay provides a powerful system for operational definition of IUPs.     

Protein mechanics: How force regulates molecular function

Background

Regulation of proteins is ubiquitous and vital for any organism. Protein activity can be altered chemically, by covalent modifications or non-covalent binding of co-factors. Mechanical forces are emerging as an additional way of regulating proteins, by inducing a conformational change or by partial unfolding.

Scope

We review some advances in experimental and theoretical techniques to study protein allostery driven by mechanical forces, as opposed to the more conventional ligand driven allostery. In this respect, we discuss recent single molecule pulling experiments as they have substantially augmented our view on the protein allostery by mechanical signals in recent years. Finally, we present a computational analysis technique, Force Distribution Analysis, that we developed to reveal allosteric pathways in proteins.

Major conclusions

Any kind of external perturbation, being it ligand binding or mechanical stretching, can be viewed as an external force acting on the macromolecule, rendering force-based experimental or computational techniques, a very general approach to the mechanics involved in protein allostery.

General significance

This unifying view might aid to decipher how complex allosteric protein machineries are regulated on the single molecular level.     

Ubiquitination-mediated protein degradation and modification： an emerging theme in plant-microbe interactions

Post-translational modification is central to protein stability and to the naodulation of protein activity.Various types ofprotein modification,such as phosphorylation,methylation,acetylation,myristoylation,glycosylation,and ubiquitina-tion,have been reported.Among them,ubiquitination distinguishes itself from others in that most of the ubiquitinatedproteins are targeted to the 26S proteasome for degradation.The ubiquitin/26S proteasome system constitutes the majorprotein degradation pathway in the cell.In recent years,the importance of the ubiquitination machinery in the controlof numerous eukaryotic cellular functions has been increasingly appreciated.Increasing number of E3 ubiquitin ligasesand their substrates,including a variety of essential cellular regulators have been identified.Studies in the past severalyears have revealed that the ubiquitination system is important for a broad range of plant developmental processes andresponses to abiotic and biotic stresses.This review discusses recent advances in the functional analysis of ubiquitina-tion-associated proteins from plants and pathogens that play important roles in plant-microbe interactions.     

The biological activities of protein/oleic acid complexes reside in the fatty acid

A complex formed by human α-lactalbumin (α-LA) and oleic acid (OA), named HAMLET, has been shown to have an apoptotic activity leading to the selective death of tumor cells. In numerous publications it has been reported that in the complex α-LA is monomeric and adopts a partly folded or “molten globule” state, leading to the idea that partly folded proteins can have “beneficial effects”. The protein/OA molar ratio initially has been reported to be 1:1, while recent data have indicated that the OA-complex is given by an oligomeric protein capable of binding numerous OA molecules per protein monomer. Proteolytic fragments of α-LA, as well as other proteins unrelated to α-LA, can form OA-complexes with biological activities similar to those of HAMLET, thus indicating that a generic protein can form a cytotoxic complex under suitable experimental conditions. Moreover, even the selective tumoricidal activity of HAMLET-like complexes has been questioned. There is recent evidence that the biological activity of long chain unsaturated fatty acids, including OA, can be ascribed to their effect of perturbing the structure of biological membranes and consequently the function of membrane-bound proteins. In general, it has been observed that the cytotoxic effects exerted by HAMLET-like complexes are similar to those reported for OA alone. Overall, these findings can be interpreted by considering that the protein moiety does not have a toxic effect on its own, but merely acts as a solubilising agent for the inherently toxic fatty acid.     

Evaluation of direct effects of protein ubiquitylation using computational analysis

Ubiquitylation is an important regulatory mechanism in the eukaryotic cell. A large volume of experimental data on protein ubiquitylation has been acquired in recent years. Particular ubiquitylated lysine residues were also identified. This allows us to analyze co-localization of ubiquitylation sites and functionally important protein domains, following the idea that ubiquitylation can directly affect protein functional activity. Computational analysis suggests that ubiquitylation can affect the functional activity of some proteins through direct steric effects. (1) Ubiquitylation can block protein functional domains/active site or cause accessibility limitations. It also (2) causes steric disturbances for homo-oligomerization and (3) influences heterologous protein interactions, impeding the binding of target protein with its partners. (4) Interaction with partner proteins can be disturbed by restricted conformational flexibility. Any of these effects will result in a decrease of target protein activity. Thus, we suggest a new “loss-of-function” mechanism of protein regulation by ubiquitylation.

     

蛋白质间相互作用技术的研究近况

蛋白质间相互作用技术的研究近况黄翠芬叶棋浓（军事医学科学院生物工程研究所,北京１００８５０关键词：蛋白质,相互作用,技术ＲｅｃｅｎｔＡｄｖａｎｃｅｓｉｎｔｈｅＴｅｃｈｎｉｑｕｅｓｏｆＰｒｏｔｅｉｎ┐ＰｒｏｔｅｉｎＩｎｔｅｒａｃｔｉｏｎｓＨｕａｎｇＣｕ...     

Energy barriers, cooperativity, and hidden intermediates in the folding of small proteins

Current theoretical views of the folding process of small proteins (< approximately 100 amino acids) postulate that the landscape of potential mean force (PMF) for the formation of the native state has a funnel shape and that the free energy barrier to folding arises from the chain configurational entropy only. However, recent theoretical studies on the formation of hydrophobic clusters with explicit water suggest that a barrier should exist on the PMF of folding, consistent with the fact that protein folding generally involves a large positive activation enthalpy at room temperature. In addition, high-resolution structural studies of the hidden partially unfolded intermediates have revealed the existence of non-native interactions, suggesting that the correction of the non-native interactions during folding should also lead to barriers on PMF. To explore the effect of a PMF barrier on the folding behavior of proteins, we modified Zwanzig's model for protein folding with an uphill landscape of PMF for the formation of transition states. We found that the modified model for short peptide segments can satisfy the thermodynamic and kinetic criteria for an apparently two-state folding. Since the Levinthal paradox can be solved by a stepwise folding of short peptide segments, a landscape of PMF with a locally uphill search for the transition state and cooperative stabilization of folding intermediates/native state is able to explain the available experimental results for small proteins. We speculate that the existence of cooperative hidden folding intermediates in small proteins could be the consequence of the highly specific structures of the native state, which are selected by evolution to perform specific functions and fold in a biologically meaningful time scale.     

Alpha-helical topology prediction and generation of distance restraints in membrane proteins

The field of protein structure prediction has seen significant advances in recent years. Researchers have followed a multitude of approaches, including methods based on comparative modeling, fold recognition and threading, and first-principles techniques. It is noteworthy that the structure prediction of membrane proteins is comparatively less studied by researchers in the field. A membrane protein is characterized by a protein structure that extends into or through the lipid-lipid bilayer of a cell. The structure is influenced by the combination of the hydrophobic bilayer region, the direct interaction with the bilayer, and the aqueous external environment. Due to the difficulty in obtaining reliable experimental structures, accurate computational prediction of membrane proteins is of paramount importance. An optimization model has been developed to predict the interhelical interactions in α-helical membrane proteins. A database of α-helical membrane proteins of known structure and limited sequence identity can be constructed to develop interaction probabilities. By then maximizing the occurrence of highly probable pairwise or three-residue interactions, realistic contacts can be predicted by imposing a number of geometrical constraints. The development of these low distance contacts can provide additional distance restraints for first principles-based approaches to the tertiary structure prediction problem. The proposed approach is shown to successfully predict interhelical contacts in several membrane protein systems, including bovine rhodopsin and the recently released human β2 adrenergic receptor protein structure.     

Protein sorting and membrane-mediated interactions

Sorting of membrane proteins is of vital importance for living cells. Indeed, roughly one-third of a eukaryotic cell’s proteome consists of peripheral and transmembrane proteins. These need to be properly distributed and dynamically maintained at distinct locations in the compartmentalized cell, and one may wonder how proteins determine where, when, and how to travel to reach a specific organelle. While specific binary interactions between proteins have been invoked in explaining the trafficking and sorting processes, a more active role of lipids in this context has become visible in recent years. In particular, membrane-mediated interactions have been suggested to serve as a robust physicochemical mechanism to facilitate protein sorting. Here, we will review some recent insights into these aspects.     

How fatty acids bind to proteins: the inside story from protein structures

The interactions of fatty acids with proteins have been probed with a great variety of techniques and strategies. Many approaches have substituted covalently labeled fatty acids or structurally related molecules. Information from such studies ultimately requires validation by studies with natural fatty acids. However, even the best conventional approaches with natural fatty acids generally have revealed only limited aspects of fatty acid-protein interactions. In contrast, recent crystallographic and NMR studies of several proteins with bound fatty acids provide complete three-dimensional structures with molecular details of these interactions. This presentation reviews three examples of proteins that are indirectly or directly involved in cell signaling: a protein in the plasma compartment (human serum albumin); a protein family in the cytosolic compartment of mammalian cells (fatty-acid-binding proteins), and a nuclear protein (peroxisome proliferator-activated receptor): it also discusses the structures of these proteins and their binding pocket(s), compares their specific modes of interactions with fatty acids, and discusses established and potential roles of fatty acid-protein interactions in cell signaling.     

Membrane-mediated interactions – a physico-chemical basis for protein sorting

Abstract

Sorting of membrane proteins in eukaryotic cells is a complex yet vital task that involves several 10,000 molecular players. Sorting takes place not only along the early secretory pathway, i.e., between the endoplasmic reticulum and the Golgi apparatus, but also between other organelles, including exchange with the cell's plasma membrane. Traditionally, specific binary interactions between proteins have been made responsible for most of the protein sorting. A more active role of lipids, however, became visible in recent years. Not only do lipids in complex membranes show domain formation that may support/suppress sorting events, but also collective, membrane-mediated interactions have emerged as a robust physico-chemical mechanism to drive protein sorting. Here, we will review recent insights into these aspects.     

Identification and characterization of histatin 1 salivary complexes by using mass spectrometry

With recent progress in the analysis of the salivary proteome, the number of salivary proteins identified has increased dramatically. However, the physiological functions of many of the newly discovered proteins remain unclear. Closely related to the study of a protein's function is the identification of its interaction partners. We investigated interactions among and functions of histatin 1 and the other proteins that are present in saliva by using high‐throughput mass spectrometric techniques. This led to the identification of 43 proteins able to interact with histatin 1. In addition, we found that these protein–protein interactions protect complex partners from proteolysis and modulate their antifungal activity. Our data contribute significantly to characterization of the salivary interactome and to understanding the biology of salivary protein complexes.