Characterization of the first adult de novo case of 46,X,der(Y)t(X;Y)(p22.3;q11.2)

Herein, we describe a case of an infertile man detected in postnatal diagnosis with FISH characterization and array-CGH used for genome-wide screening which allowed the identification of a complex rearrangement involving sex chromosomes, apparently without severe phenotypic consequences. The deletion detected in our patient has been compared with previously reported cases leading us to propose a hypothetical diagnostic algorithm that would be useful in similar clinical situations, with imperative multi disciplinary approach integrated with genetic counseling. Our patient, uniquely of reproductive age, is one of six reported cases of duplication of Xp22.3 (~ 8.4 Mb) segment and contemporary deletion of Yq (~ 42.9 Mb) with final karyotype as follows:

46,X,der(Y),t(X;Y)(Ypter → Yq11.221::Xp22.33 → Xpter).ish der(Y) (Yptel+,Ycen+,RP11-529I21+,RP11-506M9-Yqtel −,Xptel +). arrXp22.33p22.31(702–8,395,963, 8,408,289x1), Yq11.221q12 (14,569,317x1, 14,587,321–57,440,839x0)     

Comparing methods for metabolic network analysis and an application to metabolic engineering

Bioinformatics tools have facilitated the reconstruction and analysis of cellular metabolism of various organisms based on information encoded in their genomes. Characterization of cellular metabolism is useful to understand the phenotypic capabilities of these organisms. It has been done quantitatively through the analysis of pathway operations. There are several in silico approaches for analyzing metabolic networks, including structural and stoichiometric analysis, metabolic flux analysis, metabolic control analysis, and several kinetic modeling based analyses. They can serve as a virtual laboratory to give insights into basic principles of cellular functions. This article summarizes the progress and advances in software and algorithm development for metabolic network analysis, along with their applications relevant to cellular physiology, and metabolic engineering with an emphasis on microbial strain optimization. Moreover, it provides a detailed comparative analysis of existing approaches under different categories.     

Structural divergence is more extensive than sequence divergence for a family of intrinsically disordered proteins

The p53 transactivation domain (p53TAD) is an intrinsically disordered protein (IDP) domain that undergoes coupled folding and binding when interacting with partner proteins like the E3 ligase, MDM2, and the 70 kDa subunit of replication protein A, RPA70. The secondary structure and dynamics of six closely related mammalian homologues of p53TAD were investigated using nuclear magnetic resonance (NMR) spectroscopy. Differences in both transient secondary structure and backbone dynamics were observed for the homologues. Many of these differences were localized to the binding sites for MDM2 and RPA70. The amount of transient helical secondary structure observed for the MDM2 binding site was lower for the dog and mouse homologues, compared with human, and the amount of transient helical secondary structure observed for the RPA70 binding site was higher for guinea pig and rabbit, compared with human. Differences in the amount of transient helical secondary structure observed for the MDM2 binding site were directly related to amino acid substitutions occurring on the solvent exposed side of the amphipathic helix that forms during the p53TAD/MDM2 interaction. Differences in the amount of transient helical secondary structure were not as easily explained for the RPA70 binding site because of its extensive sequence divergence. Clustering analysis shows that the divergence in the transient secondary structure of the p53TAD homologues exceeds the amino acid sequence divergence. In contrast, strong correlations were observed between the backbone dynamics of the homologues and the sequence identity matrix, suggesting that the dynamic behavior of IDPs is a conserved evolutionary feature. Proteins 2013; 81:1686–1698. © 2013 Wiley Periodicals, Inc.     

The conserved Arg241‐Glu439 salt bridge determines flexibility of the inositol 1,4,5‐trisphosphate receptor binding core in the ligand‐free state

Inositol 1,4,5‐trisphosphate receptor (InsP₃R) is an intracellular Ca²⁺‐release channel activated by binding of inositol 1,4,5‐trisphosphate (InsP₃) to the InsP₃ binding core (IBC). Structural change in the IBC upon InsP₃ binding is the key process in channel pore opening. In this study, we performed molecular dynamics (MD) simulations of the InsP₃‐free form of the IBC, starting with removal of InsP₃ from the InsP₃‐bound crystal structure, and obtained the structural ensemble of the InsP₃‐free form of the IBC. The simulation revealed that the two domains of the IBC largely fluctuate around the average structure with the hinge angle opened 17° more than in the InsP₃‐bound form, and the twist angle rotated by 45°, forming interdomain contacts that are different from those in the bound form. The InsP₃ binding loop was disordered. The InsP₃‐free form thus obtained was reproduced four times in simulations started from a fully extended configuration of the two domains. Simulations beginning with the fully extended form indicated that formation of a salt bridge between Arg241 and Glu439 is crucial for stabilizing the closed form of the two domains. Mutation of Arg241 to Gln prevented formation of the compact structure by the two domains, but the fully flexible domain arrangement was maintained. Thus, the Arg241‐Glu439 salt bridge determines the flexibility of the InsP₃‐free form of the IBC.Proteins 2013; 81:1699–1708. © 2013 Wiley Periodicals, Inc.     

Prediction of protein domain boundaries from inverse covariances

It has been known even since relatively few structures had been solved that longer protein chains often contain multiple domains, which may fold separately and play the role of reusable functional modules found in many contexts. In many structural biology tasks, in particular structure prediction, it is of great use to be able to identify domains within the structure and analyze these regions separately. However, when using sequence data alone this task has proven exceptionally difficult, with relatively little improvement over the naive method of choosing boundaries based on size distributions of observed domains. The recent significant improvement in contact prediction provides a new source of information for domain prediction. We test several methods for using this information including a kernel smoothing‐based approach and methods based on building alpha‐carbon models and compare performance with a length‐based predictor, a homology search method and four published sequence‐based predictors: DOMCUT, DomPRO, DLP‐SVM, and SCOOBY‐DOmain. We show that the kernel‐smoothing method is significantly better than the other ab initio predictors when both single‐domain and multidomain targets are considered and is not significantly different to the homology‐based method. Considering only multidomain targets the kernel‐smoothing method outperforms all of the published methods except DLP‐SVM. The kernel smoothing method therefore represents a potentially useful improvement to ab initio domain prediction. Proteins 2013. © 2012 Wiley Periodicals, Inc.     

Antifouling substances of natural origin: Activity of benzoquinone compounds from Maesa Lanceolata against marine crustaceans

A screening of antifouling activity from plants extracts led to selection and further study of Maesa lanceolata Forssk. Two p‐benzoquinone compounds were isolated from the fruits and found to be active against Artemia salina. The anti‐crustacean activity of both p‐benzoquinones is reported for the first time.     

New trends in peptide-based anti-biofilm strategies: a review of recent achievements and bioinformatic approaches

Antimicrobial peptides (AMPs) have a broad spectrum of activity and unspecific mechanisms of action. Therefore, they are seen as valid alternatives to overcome clinically relevant biofilms and reduce the chance of acquired resistance. This paper reviews AMPs and anti-biofilm AMP-based strategies and discusses ongoing and future work. Recent studies report successful AMP-based prophylactic and therapeutic strategies, several databases catalogue AMP information and analysis tools, and novel bioinformatics tools are supporting AMP discovery and design. However, most AMP studies are performed with planktonic cultures, and most studies on sessile cells test AMPs on growing rather than mature biofilms. Promising preliminary synergistic studies have to be consubstantiated and the study of functionalized coatings with AMPs must be further explored. Standardized operating protocols, to enforce the repeatability and reproducibility of AMP anti-biofilm tests, and automated means of screening and processing the ever-expanding literature are still missing.     

Structural Transformations of Ice at High Pressures Via Molecular Dynamics Simulations

Abstract

A simple classical model is used for the study of the structural transformations of ice under high pressures, such as ice VIII to VII and X, via classical molecular dynamics (MD) simulation. In the present MD simulation, pair potentials of a simple form between pair of atoms and a thee-body potential representing the H-O-H angle dependence, originally developed by Kawamura et al., were used. Starting with a stable ice VIII at low pressure and low temperature, we have carried out two different MD runs, one with increasing pressure keeping the temperature constant (simulation I) and the other with increasing temperature under constant pressure (simulation II). From these MD simulations we have obtained the structural transformations from ice VIII to VII for both simulations; the former was finally transformed into ice X for the simulation I. The present results are compatible with recent experiments on high pressure ices.     

Condensed Representations of Protein Secondary Structure Sequences and Their Application

Abstract

In this paper, we propose a nongraphical representation for protein secondary structures. By counting the frequency of occurrence of all possible four-tuples (i.e., four-letter words) of a protein secondary structure sequence, we construct a set of 3 × 3 matrices for the corresponding protein secondary structure sequence. Furthermore, the leading eigenvalues of these matrices are computed and considered as invariants for the protein secondary structure sequences. To illustrate the utility of our approach, we apply it to a set of real data to distinguish protein structural classes. The result indicates that it can be used to complement the classification of protein secondary structures.     

Conformations Consistent with Charge Migration Observed in DNA and RNA X-ray Structures

Abstract

Electron holes are known to migrate along the DNA or RNA duplexes and to localize preferentially on successive guanines. The stationary point conformations of Gua pairs that can trap or let pass these holes have been characterized by quantum chemistry calculations. Here we show their recurrent occurrence in DNA and RNA X-ray structures, often in quadruplex conformations or in interaction with proteins, ligands or metal ions. These findings give support to the biological, possibly regulatory, roles of charge migration in cell functioning.