Protein folding in the post-genomic era

Protein folding is a topic of fundamental interest since it concerns the mechanisms by which the genetic message is translated into the three-dimensional and functional structure of proteins. In these post-genomic times, the knowledge of the fundamental principles are required in the exploitation of the information contained in the increasing number of sequenced genomes. Protein folding also has practical applications in the understanding of different pathologies and the development of novel therapeutics to prevent diseases associated with protein misfolding and aggregation. Significant advances have been made ranging from the Anfinsen postulate to the "new view" which describes the folding process in terms of an energy landscape. These new insights arise from both theoretical and experimental studies. The problem of folding in the cellular environment is briefly discussed. The modern view of misfolding and aggregation processes that are involved in several pathologies such as prion and Alzheimer diseases. Several approaches of structure prediction, which is a very active field of research, are described.     

Prediction of the initial folding sites and the entire folding processes for Ig-like beta-sandwich proteins

Describing the whole story of protein folding is currently the main enigmatic problem in molecular bioinformatics study. Protein folding mechanisms have been intensively investigated with experimental as well as simulation techniques. Since a protein folds into its specific 3D structure from a unique amino acid sequence, it is interesting to extract as much information as possible from the amino acid sequence of a protein. Analyses based on inter-residue average distance statistics and a coarse-grained Gō-model simulation were conducted on Ig and FN3 domains of a titin protein to decode the folding mechanisms from their sequence data and native structure data, respectively. The central region of all domains was predicted to be an initial folding unit, that is, stable in an early state of folding. This common feature coincides well with the experimental results and underscores the significance of the β-sandwich proteins' common structure, namely, the key strands for folding and the Greek-key motif, which is located in the central region. We confirmed that our sequence-based techniques were able to predict the initial folding event just next to the denatured state and that a 3D-based Gō-model simulation can be used to investigate the whole process of protein folding.     

High pressure, an alternative approach to understand protein misfolding diseases.

Protein folding is essential for the flow of genetic information to biological activity. A failure in this process can result in disease, by causing cell damage and sometimes death. The misfolding of proteins often induces their aggregation, initiating the fibril formation seen in a range of human and animal diseases. Because misfolding and aggregation are of fundamental importance in vivo, there is currently great interest in understanding their mechanisms. To gain insight into the folding and unfolding processes of proteins, for nearly a century, an original biophysical approach has been successfully used: the application of high hydrostatic pressure combined with various spectroscopic and kinetic techniques. Because high pressure provides new insight into protein structure and folding which cannot be obtained by other techniques, the conformations of pressure-induced unfolding intermediates and species involved in the initial states of aggregation of proteins associated with specific diseases are currently being investigated. Our contention is that by exploring folding kinetics, misfolding pathways and stability under pressure, it will be possible to understand the mechanisms of amyloidogenesis, with the ultimate goal to design therapeutic strategies to prevent progression of the disease.     

Protein misfolding and misprocessing in complex disease

Scientists from over 20 major research centers recently convened to discuss advances and new discoveries in "Protein MisFolding and MisProcessing in Disease." Understanding protein mechanisms the underlying etiology of complex diseases lies in analyzing the associated biochemical mechanisms, which include folding patterns, processing patterns, chaperone regulators, stress pathways, and signal transduction.     

蛋白质动态平衡网络维稳机制的研究进展

蛋白质是构成生命体的基础,其在体内有多种存在形式,而这些形式之间如何维持动态平衡对细胞发挥正常功能来说至关重要。诸多因素会影响蛋白质稳态,包括一些内外源性的刺激、翻译过程中出现的问题以及一些调控因子的作用等。当错误折叠的蛋白在细胞中不断积累时,会导致蛋白质稳态失衡并无法发挥正常功能进而引发相关疾病。同时在错误发生后,机体的许多“监控”就会感知这些异常,并通过多种途径来帮助蛋白质维持稳态。本文旨在综述蛋白质动态平衡网络之间错综复杂的关系,以及各种因素在其中发挥的主要作用,并为一些由蛋白合成异常导致疾病的研究等提供新的思路。     

Chaperone-Assisted Folding of Newly Synthesized Proteins in the Cytosol

The way in which a newly synthesized polypeptide chain folds into its unique three-dimensional structure remains one of the fundamental questions in molecular biology. Protein folding in the cell is a problematic process and, in many cases, requires the assistance of a network of molecular chaperones to support productive protein folding in vivo. During protein biosynthesis, ribosome-associated chaperones guide the folding of the nascent polypeptide emerging from the ribosomal tunnel. In this review we summarize the basic principles of the protein-folding process and the involved chaperones, and focus on the role of ribosome-associated chaperones. Our discussion emphasizes the bacterial Trigger Factor, which is the best studied chaperone of this type. Recent advances have determined the atomic structure of the Trigger Factor, providing new, exciting insights into the role of ribosome-associated chaperones in co-translational protein folding.     

Protein folding at single-molecule resolution

The protein folding reaction carries great significance for cellular function and hence continues to be the research focus of a large interdisciplinary protein science community. Single-molecule methods are providing new and powerful tools for dissecting the mechanisms of this complex process by virtue of their ability to provide views of protein structure and dynamics without associated ensemble averaging. This review briefly introduces common FRET and force methods, and then explores several areas of protein folding where single-molecule experiments have yielded insights. These include exciting new information about folding landscapes, dynamics, intermediates, unfolded ensembles, intrinsically disordered proteins, assisted folding and biomechanical unfolding. Emerging and future work is expected to include advances in single-molecule techniques aimed at such investigations, and increasing work on more complex systems from both the physics and biology standpoints, including folding and dynamics of systems of interacting proteins and of proteins in cells and organisms. This article is part of a Special Issue entitled: Protein Dynamics: Experimental and Computational Approaches.     

Theory of protein folding

Protein folding should be complex. Proteins organize themselves into specific three-dimensional structures, through a myriad of conformational changes. The classical view of protein folding describes this process as a nearly sequential series of discrete intermediates. In contrast, the energy landscape theory of folding considers folding as the progressive organization of an ensemble of partially folded structures through which the protein passes on its way to the natively folded structure. As a result of evolution, proteins have a rugged funnel-like landscape biased toward the native structure. Connecting theory and simulations of minimalist models with experiments has completely revolutionized our understanding of the underlying mechanisms that control protein folding.     

Chaperone-assisted folding of newly synthesized proteins in the cytosol

The way in which a newly synthesized polypeptide chain folds into its unique three-dimensional structure remains one of the fundamental questions in molecular biology. Protein folding in the cell is a problematic process and, in many cases, requires the assistance of a network of molecular chaperones to support productive protein foldingin vivo. During protein biosynthesis, ribosome-associated chaperones guide the folding of the nascent polypeptide emerging from the ribosomal tunnel. In this review we summarize the basic principles of the protein-folding process and the involved chaperones, and focus on the role of ribosome-associated chaperones. Our discussion emphasizes the bacterial Trigger Factor, which is the best studied chaperone of this type. Recent advances have determined the atomic structure of the Trigger Factor, providing new, exciting insights into the role of ribosome-associated chaperones in co-translational protein folding.     

A career pathway in protein folding: from model peptides to postreductionist protein science

This review discusses the inherent challenge of linking "reductionist" approaches to decipher the information encoded in protein sequences with burgeoning efforts to explore protein folding in native environments-"postreductionist" approaches. Because the invitation to write this article came as a result of my selection to receive the 2010 Dorothy Hodgkin Award of the Protein Society, I use examples from my own work to illustrate the evolution from the reductionist to the postreductionist perspective. I am incredibly honored to receive the Hodgkin Award, but I want to emphasize that it is the combined effort, creativity, and talent of many students, postdoctoral fellows, and collaborators over several years that has led to any accomplishments on which this selection is based. Moreover, I do not claim to have unique insight into the topics discussed here; but this writing opportunity allows me to illustrate some threads in the evolution of protein folding research with my own experiences and to point out to those embarking on careers how the twists and turns in anyone's scientific path are influenced and enriched by the scientific context of our research. The path my own career has taken thus far has been shaped by the timing of discoveries in the field of protein science; together with our contemporaries, we become part of a knowledge evolution. In my own case, this has been an epoch of great discovery in protein folding and I feel very fortunate to have participated in it.     

An all-atom structure-based potential for proteins: bridging minimal models with all-atom empirical forcefields

Protein dynamics take place on many time and length scales. Coarse-grained structure-based (Go) models utilize the funneled energy landscape theory of protein folding to provide an understanding of both long time and long length scale dynamics. All-atom empirical forcefields with explicit solvent can elucidate our understanding of short time dynamics with high energetic and structural resolution. Thus, structure-based models with atomic details included can be used to bridge our understanding between these two approaches. We report on the robustness of folding mechanisms in one such all-atom model. Results for the B domain of Protein A, the SH3 domain of C-Src Kinase, and Chymotrypsin Inhibitor 2 are reported. The interplay between side chain packing and backbone folding is explored. We also compare this model to a C(alpha) structure-based model and an all-atom empirical forcefield. Key findings include: (1) backbone collapse is accompanied by partial side chain packing in a cooperative transition and residual side chain packing occurs gradually with decreasing temperature, (2) folding mechanisms are robust to variations of the energetic parameters, (3) protein folding free-energy barriers can be manipulated through parametric modifications, (4) the global folding mechanisms in a C(alpha) model and the all-atom model agree, although differences can be attributed to energetic heterogeneity in the all-atom model, and (5) proline residues have significant effects on folding mechanisms, independent of isomerization effects. Because this structure-based model has atomic resolution, this work lays the foundation for future studies to probe the contributions of specific energetic factors on protein folding and function.     

The importance of explicit chain representation in protein folding models: an examination of Ising-like models

A class of models that represents a protein chain as a sequence of "folded" and "unfolded" residues has recently been used to correlate rates and mechanisms of protein folding with the protein native structure. In order to better understand the conditions under which these "Ising-like" models apply, we compare results from this model to those obtained from an off-lattice model which uses the same potential function. We find that Ising-like models by construction impose folding via a highly sequential nucleation-condensation mechanism, which in turn leads to more rugged energy landscapes, fewer "pathways" to the native state, and in the specific case examined here, the cold shock protein A from Escherichia coli, a qualitative difference in the most likely order of events in folding.     

Topology, stability, sequence, and length: defining the determinants of two-state protein folding kinetics

The fastest simple, single domain proteins fold a million times more rapidly than the slowest. Ultimately this broad kinetic spectrum is determined by the amino acid sequences that define these proteins, suggesting that the mechanisms that underlie folding may be almost as complex as the sequences that encode them. Here, however, we summarize recent experimental results which suggest that (1) despite a vast diversity of structures and functions, there are fundamental similarities in the folding mechanisms of single domain proteins and (2) rather than being highly sensitive to the finest details of sequence, their folding kinetics are determined primarily by the large-scale, redundant features of sequence that determine a protein's gross structural properties. That folding kinetics can be predicted using simple, empirical, structure-based rules suggests that the fundamental physics underlying folding may be quite straightforward and that a general and quantitative theory of protein folding rates and mechanisms (as opposed to unfolding rates and thus protein stability) may be near on the horizon.     

Protein Folding,Misfolding, Aggregation and Their Implications in Human Diseases: Discovering Therapeutic Ways to Amyloid-Associated Diseases

Protein folding is a very complex process, and recognition of the molecular mechanisms responsible for protein folding is one of the demanding queries in biochemistry. Protein molecules have a fixed propensity either to misfold or unable to sustain their precisely folded states, under assured conditions. Taking into account that the protein misfolding and aggregation are central in the pathogenesis of protein conformational disorders, a therapy focussed to the root of the disease should target to restrain and/or undo the conformational alterations that lead to the development of the pathological protein conformer. In future, an understanding of the causes of protein aggregation and genetic and environmental vulnerability features of an exact individual may offer an enhanced prospect for a successful therapeutic intrusion. Dealing with these and related problems not only provides great prospects for involvement with numerous, presently fatal diseases but will also ultimately disclose the basically essential association between proteostasis and prolonged existence.     

Swfoldrate: Predicting protein folding rates from amino acid sequence with sliding window method

Protein folding is the process by which a protein processes from its denatured state to its specific biologically active conformation. Understanding the relationship between sequences and the folding rates of proteins remains an important challenge. Most previous methods of predicting protein folding rate require the tertiary structure of a protein as an input. In this study, the long‐range and short‐range contact in protein were used to derive extended version of the pseudo amino acid composition based on sliding window method. This method is capable of predicting the protein folding rates just from the amino acid sequence without the aid of any structural class information. We systematically studied the contributions of individual features to folding rate prediction. The optimal feature selection procedures are adopted by means of combining the forward feature selection and sequential backward selection method. Using the jackknife cross validation test, the method was demonstrated on the large dataset. The predictor was achieved on the basis of multitudinous physicochemical features and statistical features from protein using nonlinear support vector machine (SVM) regression model, the method obtained an excellent agreement between predicted and experimentally observed folding rates of proteins. The correlation coefficient is 0.9313 and the standard error is 2.2692. The prediction server is freely available at http://www.jci‐bioinfo.cn/swfrate/input.jsp . Proteins 2013. © 2012 Wiley Periodicals, Inc.     

Dynamics, energetics, and structure in protein folding

For many decades, protein folding experimentalists have worked with no information about the time scales of relevant protein folding motions and without methods for estimating the height of folding barriers. Protein folding experiments have been interpreted using chemical models in which the folding process is characterized as a series of equilibria between two or more distinct states that interconvert with activated kinetics. Accordingly, the information to be extracted from experiments was circumscribed to apparent equilibrium constants and relative folding rates. Recent developments are changing this situation dramatically. The combination of fast-folding experiments with the development of analytical methods more closely connected to physical theory reveals that folding barriers in native conditions range from minimally high (approximately 14RT for the very slow folder AcP) to nonexistent. While slow-folding (i.e., > or = 1 ms) single-domain proteins are expected to fold in a two-state fashion, microsecond-folding proteins should exhibit complex behavior arising from crossing marginal or negligible folding barriers. This realization opens a realm of exciting opportunities for experimentalists. The free energy surface of a protein with a marginal (or no) barrier can be mapped using equilibrium experiments, which could resolve energetic factors from structural factors in folding. Kinetic experiments on these proteins provide the unique opportunity to measure folding dynamics directly. Furthermore, the complex distributions of time-dependent folding behaviors expected for these proteins might be accessible to single-molecule measurements. Here, we discuss some of these recent developments in protein folding, emphasizing aspects that can serve as a guide for experimentalists interested in exploiting this new avenue of research.     

未折叠蛋白质的普遍初始热力学亚稳态

探索和理解蛋白质折叠问题一直是分子生物学、结构生物学和生物物理学的终极挑战.未折叠的蛋白质应该存在一种普遍初始热力学亚稳态,否则无法解释蛋白质是如何在剧烈的热振动干扰下完成快速精确折叠的.本文通过分析水溶液环境和蛋白质折叠的相关性,揭示了一种由水分子屏蔽效应引起的未折叠蛋白质的普遍初始热力学亚稳态,该亚稳态的存在是水溶液环境中水分子的物理性质决定,并赋予未折叠蛋白质抵抗热扰动和避免错误折叠的能力.我们通过研究已发表的实验数据和建立分子模型,找到了该初始热力学亚稳态存在的相关证据,并推测了该亚稳态导致蛋白质精确折叠的相关物理学机制.     

The Plastic Energy Landscape of Protein Folding: A TRIANGULAR FOLDING MECHANISM WITH AN EQUILIBRIUM INTERMEDIATE FOR A SMALL PROTEIN DOMAIN*

Protein domains usually fold without or with only transiently populated intermediates, possibly to avoid misfolding, which could result in amyloidogenic disease. Whether observed intermediates are productive and obligatory species on the folding reaction pathway or dispensable by-products is a matter of debate. Here, we solved the crystal structure of a small protein domain, SAP97 PDZ2 I342W C378A, and determined its folding pathway. The presence of a folding intermediate was demonstrated both by single and double-mixing kinetic experiments using urea-induced (un)folding as well as ligand-induced folding. This protein domain was found to fold via a triangular scheme, where the folding intermediate could be either on- or off-pathway, depending on the experimental conditions. Furthermore, we found that the intermediate was present at equilibrium, which is rarely seen in folding reactions of small protein domains. The folding mechanism observed here illustrates the roughness and plasticity of the protein folding energy landscape, where several routes may be employed to reach the native state. The results also reconcile the folding mechanisms of topological variants within the PDZ domain family.     

Predicting protein folding rates from geometric contact and amino acid sequence

Protein folding speeds are known to vary over more than eight orders of magnitude. Plaxco, Simons, and Baker (see References) first showed a correlation of folding speed with the topology of the native protein. That and subsequent studies showed, if the native structure of a protein is known, its folding speed can be predicted reasonably well through a correlation with the "localness" of the contacts in the protein. In the present work, we develop a related measure, the geometric contact number, N (alpha), which is the number of nonlocal contacts that are well-packed, by a Voronoi criterion. We find, first, that in 80 proteins, the largest such database of proteins yet studied, N (alpha) is a consistently excellent predictor of folding speeds of both two-state fast folders and more complex multistate folders. Second, we show that folding rates can also be predicted from amino acid sequences directly, without the need to know the native topology or other structural properties.     

蛋白质折迭的不可逆热力学理论及蛋白质动态热力学结构(英)

在机械力学及热力学基础上阐述蛋白质的各种物理性质是从物理学角度理解生物学的基础性工作.详细讨论了蛋白质折迭的不可逆热力学理论,蛋白质动态热力学结构理论.理论推断蛋白质动态热力学变化是一切生物学状态变化的基本热力学状态单位并作为分子生物学变化的分子开关.利用此理论解释了蛋白质的物理学性质及麻醉药的生物物理学机制.