Prediction of the three-dimensional structure of the enzymatic domain of t-PA

Summary Tissue plasminogen activator (t-PA), an enzyme of the fibrinolytic system, is responsible for lysis of fibrin via activation of plasminogen, and therefore for degradation of blood clots. There are currently no X-ray crystal structure data of the t-PA molecule available either in whole or in part. We therefore predicted the three-dimensional structure of the protease domain by means of computer-graphical methods.The model obtained forms a basis for understanding the binding of plasminogen to the active site of t-PA. In addition, the interactions of various inhibitors with t-PA were studied by modeling them into the active site. The model also yields an explanation for the observed amidolytic activity of t-PA in the single chain form.     

Prediction of vibrational frequencies of UO2(2+) at the CCSD(T) level

Electronic structure calculations at the coupled cluster (CCSD(T)) and density functional theory levels with relativistic effective core potentials and large basis sets were used to predict the isolated uranyl ion frequencies. The effects of anharmonicity and spin-orbit corrections on the harmonic frequencies were calculated. The anharmonic effects are larger than the spin-orbit corrections, but both are small. The anharmonic effects decreased all the frequencies, whereas the spin-orbit corrections increased the stretches and decreased the bend. Overall, these two corrections decreased the harmonic asymmetric stretch frequency by 6 cm-1, the symmetric stretch by 3 cm-1, and the bend by 3 cm-1. The best calculated values for UO22+ for the asymmetric stretch, symmetric stretch, and bend were 1113, 1032, and 174 cm-1, respectively. The separation between the asymmetric and the symmetric stretch band origins was predicted to be 81 cm-1, which is consistent with experimental trends for substituted uranyls in solution and in the solid state. The anharmonic vibrational frequencies of the isoelectronic ThO2 molecule also were calculated and compared to experiment to calibrate the UO22+ results.     

Nonspecific protein adsorption at the single molecule level studied by atomic force microscopy

Liquid tapping atomic force microscopy was used to study the nonspecific adsorption of horse spleen ferritin at a bare gold surface at single molecule resolution. The majority of ferritin molecules adsorbed irreversible on gold surfaces in accordance with the random sequential adsorption (RSA) mechanism frequently used to describe irreversible adsorption processes. However, the time-resolved data also reveal events that go beyond the RSA model, i.e., lateral mobility and fragility of some molecules, resulting in desorption, chain formation, and subunit dissociation. Scanning effects of the AFM tip were observed, resulting in diminished protein coverage in the scanned area.     

Prediction of protein retention at gradient elution conditions in ion-exchange chromatography.

This work presents a prediction procedure for protein retention in ion-exchange chromatography, where two linear gradient experiments of different length give the protein retention time at other linear gradients. The procedure predicts the retention time of early and late eluting proteins with similar precision and predictions by extrapolation deviate approximately 3% or less from the experimental retention times. By using the ionic strength, this procedure predicts protein retention times obtained with divalent ions in the eluent more accurately than a well-established procedure that uses the protein co-ion concentration.     

Prediction of the acidity level of concentrated mineral acid mixtures

A method for calculating the acidity level of mixtures of concentrated acidic solutions is presented. The method is based on the concept of isoacidity and the Zdanovskii rule. The calculated acidity function R_o(H) for ternary mixtures of phosphoric, sulfuric and perchloric acid are in good agreement with the values determined experimentally by electrochemical measurements.     

Prediction of protein signal sequences

Newly synthesized proteins have an intrinsic signal sequence, functioning as "address tags" or "zip codes", that is essential for guiding them wherever they are needed. Owing to such a unique function, protein signals have become a crucial tool in finding new drugs or reprogramming cells for gene therapy. However, to effectively use protein signals as a desirable vehicle in the field of proteomics, the first important thing is to find a fast and powerful method to identify the "address tag" or "zip code" entity. Although all signal sequences contain a hydrophobic core region, they show great variation in both overall length and amino acid sequence. It is this variation that makes it possible to deliver thousands of proteins to many different cellular locations by varieties of modes. It is also this variation that makes it very difficult to formulate a general algorithm to predict signal sequences. Nevertheless, various prediction models and algorithms have been developed during the past 17 years. This Review summarizes the development in this area, from the pioneering methods to neural network approaches, and to the sub-site coupling approaches. Meanwhile, the future challenges in this area, as well as some promising avenues for further improving the prediction quality, have been briefly addressed as well.     

Design of a protein kinase-inducible domain

Protein phosphorylation is a critical regulatory strategy. New tools are necessary which may be used to interrogate and are responsive to the activities of protein kinases and phosphatases. We have used protein design to develop a protein motif, termed a protein kinase-inducible domain, whose structure is dependent on its phosphorylation state. Based on an EF hand calcium-binding loop, the key design element is the replacement of a structurally critical Glu residue, which binds metal in a bidentate manner, with a serine residue, which is expected to bind metal tightly when phosphorylated but poorly when not phosphorylated. The design comprises an EF hand consensus sequence, a tryptophan at residue 7 to sensitize lanthanide luminescence, and the recognition sequence of a serine/threonine kinase. Designed peptides, which contain minimal substrate recognition motifs of the protein kinases PKA, PKC, or the MAP kinase Erk, form complexes with Tb3+ when phosphorylated, showing strong Tb3+ luminescence emission at 544 nm, but show weak luminescence when not phosphorylated. The change in fluorescence on phosphorylation is comparable to or greater than that observed in described kinase sensors. Site-specific lanthanide binding was confirmed by NMR with diamagnetic and paramagnetic metals. The kinase-inducible domain peptides comprise an expressible sequence, potentially enabling their use as genetically encoded tags of protein kinase activity. The motif is general and potentially applicable to the majority of serine/threonine kinases.     

Recent advances in methods for the analysis of protein o‐glycosylation at proteome level

O‐Glycosylation, which refers to the glycosylation of the hydroxyl group of side chains of Serine/Threonine/Tyrosine residues, is one of the most common post‐translational modifications. Compared with N‐linked glycosylation, O‐glycosylation is less explored because of its complex structure and relatively low abundance. Recently, O‐glycosylation has drawn more and more attention for its various functions in many sophisticated biological processes. To obtain a deep understanding of O‐glycosylation, many efforts have been devoted to develop effective strategies to analyze the two most abundant types of O‐glycosylation, i.e. O‐N‐acetylgalactosamine and O‐N‐acetylglucosamine glycosylation. In this review, we summarize the proteomics workflows to analyze these two types of O‐glycosylation. For the large‐scale analysis of mucin‐type glycosylation, the glycan simplification strategies including the ‘‘SimpleCell’’ technology were introduced. A variety of enrichment methods including lectin affinity chromatography, hydrophilic interaction chromatography, hydrazide chemistry, and chemoenzymatic method were introduced for the proteomics analysis of O‐N‐acetylgalactosamine and O‐N‐acetylglucosamine glycosylation.     

Nanosensing at the single cell level

This article presents an overview of the development, operation, and applications of optical nanobiosensors for use in in vivo detection of biotargets in individual living cells. The nanobiosensors are equipped with immobilized bioreceptor probes (e.g., antibodies, enzyme substrate) selective to specific molecular targets. Laser excitation is transmitted into the fiber producing an evanescent field at the tip of the fiber in order to excite target molecules bound to the bioreceptors immobilized at the fiber tips. A photometric system detects the optical signal (e.g., fluorescence) originated from the analyte molecules or from the analyte–bioreceptor reaction. Examples of detection of biospecies and molecular signaling pathways of apoptosis in a living cell are discussed to illustrate the potential of the nanobiosensor technology for single cell analysis.     

Mass action at the single-molecule level

We developed a system to reversibly encapsulate small numbers of molecules in an array of nanofabricated "dimples". This system enables highly parallel, long-term, and attachment-free studies of molecular dynamics via single-molecule fluorescence. In studies of bimolecular reactions of small numbers of confined molecules, we see phenomena that, while expected from basic statistical mechanics, are not observed in bulk chemistry. Statistical fluctuations in the occupancy of sealed reaction chambers lead to steady-state fluctuations in reaction equilibria and rates. These phenomena are likely to be important whenever reactions happen in confined geometries.     

S-nitrosothiol chemistry at the single-molecule level

SNO patrol: S-Nitrosothiols (RSNO) are important molecules involved in cell signaling, which control physiological processes such as vasodilation and bronchodilation. By using the protein pore α-hemolysin as a nanoreactor, the biological chemistry of RSNO has been investigated at the single-molecule level.     

Determination of d-biotin at the microgram level

The iodate formed in the reaction of d-biotin with periodate is determined by reacting it with iodide and titrating the iodine with thiosulphate (to determine 90-950 mug of biotin), or the tri-iodide is measured spectrophotometrically to determine 20-80 mug of the test compound. Excess of periodate is masked with molybdate.     

白血病中MLLSET结构域蛋白质的研究

采用X射线衍射的方法,解析得到MLLSET主要由β二级结构单元组成,组织成2个结构单元,形成1个大致L形状,每个臂大约5.0 nm长.构成N结构域的140个残基组织成一个重复的反平行β结构,由12个反平行β链组成,大约长5.0 nm,宽3.0nm,高2.0 nm.第一个转角把第一和第二条链联系起来,是短而紧密的,但链3—4、链5—6和链7—8之间的连接环逐渐越来越延长,导致7β~8β转角中有8个残基.与β片层本身扭曲组合在一起,这些在片层一端的转角就产生了U形的槽,与链的方向大致垂直.,解析MLLSET结构域蛋白质的晶体结构,为通过分子设计的方法制备合适的药物,治疗白血病,打下坚实的基础.     

Properties of the emitting state of the green fluorescent protein resolved at the CASPT2//CASSCF/CHARMM level

A "brute-force" ab initio CASPT2//CASSCF/CHARMM computational approach is employed to investigate the properties of the emitting state of the wild-type green fluorescence protein. The results indicate that the emitting moiety corresponds to a slightly perturbed H2O- - -chromophore complex. Thus, the protein matrix seems to be designed in such a way to mimic an environment that is more similar to gas-phase than water solution.     

The enhanced green fluorescent protein as a tool for the analysis of protein dynamics and localization: local fluorescence study at the single-molecule level

The green fluorescent protein (GFP) has emerged, in recent years, as a powerful reporter molecule for monitoring gene expression, protein localization and protein-protein interaction. Several mutant variants are now available differing in absorption, emission spectra and quantum yield. Here we present a detailed study of the fluorescence properties of the Phe-64-->Leu, Ser-65-->Thr mutant down to the single molecule level in order to assess its use in quantitative fluorescence microscopy and single-protein trafficking. This enhanced GFP (EGFP) is being used extensively as it offers higher-intensity emission after blue-light excitation with respect to wild-type GFP. By means of fluorescence spectroscopy we demonstrate the absence of the neutral form of the chromophore and the lack of photobleaching recovery after ultraviolet light irradiation. Furthermore, we show that the EGFP spectral properties from isolated to densely packed molecules are highly conserved. From these experiments EGFP emerges as an ideal molecule for quantitative studies of intra and intercellular tagged-protein dynamics and fluorescence-activated cell sorting, but not for monitoring single-protein trafficking over extended periods of time.     

Computer-assisted protein domain boundary prediction using the DomPred server

Domain prediction from sequence is a particularly challenging task, and currently, a large variety of different methodologies are employed to tackle the task. Here we try to classify these diverse approaches into a number of broad categories. Completely automatic domain prediction from sequence alone is currently fraught with problems, but this should not be so surprising since human experts currently have significant disagreement on domain assignment even when given the structures. It can be argued that we should only test the domain prediction methods on benchmark data that human experts agree upon and this is the approach we take in this paper. Even for the data sets on which human experts agree, automatic structure-based domain assignment still cannot always agree, and so again it is still unlikely that domain prediction methods will reliably obtain correct results completely automatically. We make the argument that computer-assisted domain prediction is a more achievable goal. With this aim in mind, we present the DomPred server. This server provides the user with the results from two completely different categories of method (DPS and DomSSEA). In this paper, each method is individually benchmarked against one of the latest domain prediction benchmarks to provide information about their respective reliabilities. A variety of different benchmark scores are employed since the accuracy of a domain prediction method depends critically on what types of results one wishes to obtain (single/multi-domain classification, domain number, residue linker positions, etc.). Also both of these methods, implemented within the DomPred server, can suggest alternative domain predictions, allowing the user to make the final decision based on these results and applying their own background knowledge to the problem. The DomPred server is available from the URL:http://bioinf.cs.ucl.ac.uk/software.html.     

Electron localization function at the correlated level

The electron localization function (ELF) has been proven so far a valuable tool to determine the location of electron pairs. Because of that, the ELF has been widely used to understand the nature of the chemical bonding and to discuss the mechanism of chemical reactions. Up to now, most applications of the ELF have been performed with monodeterminantal methods and only few attempts to calculate this function for correlated wave functions have been carried out. Here, a formulation of ELF valid for mono- and multiconfigurational wave functions is given and compared with previous recently reported approaches. The method described does not require the use of the homogeneous electron gas to define the ELF, at variance with the ELF definition given by Becke. The effect of the electron correlation in the ELF, introduced by means of configuration interaction with singles and doubles calculations, is discussed in the light of the results derived from a set of atomic and molecular systems.