Verbenacine and salvinine: two new diterpenes from Salvia verbenaca

Two new diterpenes namely verbenacine (1) and salvinine (2) have been isolated from the aerial parts of Salvia verbenaca. Their structures have been elucidated on the basis of chemical and spectral data as 3alpha-hydroxy-19-carboxykaur-15-ene and 19-hydroxy-12,14-dioxo labda-15,17-diene.     

Effects of non toxic doses of acyclovir on nitric oxide and cellular death responses in herpesvirus types 1 and 2 infected hep-2 cells

Herpes simplex virus type-1 (HSV-1) and type-2 (HSV-2) are among the most "successful" pathogens and code for a variety of proteins to direct the apoptosis/necrosis responses of the cells they infect. Nitric oxide (NO) is an important intracellular signaling molecule in pathological processes. Acyclovir (ACV) is a chain terminator that targets the viral DNA polymerase as an antiviral agent. In this study, NO signals, and apoptosis/necrosis responses of HEp-2 cells were compared when infected by HSV-1 and -2 for 24 hours against non toxic doses (starting from 48.8, 24.4, 12.2, 6.1, 3 to 1.5 microg/mL) of ACV. In 48.8, 24.4 and 12.2 microg/mL of ACV, HSV-1 had an "upregulating effect" whereas HSV-2 had a "downregulating effect" on NO production, and in 6.1, 3 and 1.5 microg/mL of ACV HSV-1 had a "down-regulating effect" whereas HSV-2 had an "upregulating effect" on NO responses (HSV-1 had a "downregulating effect" on NO production whereas HSV-2 had an "upregulating effect" on NO production without any ACV). In 48.8, 24.4 and 12.2 microg/mL of ACV, HSV-1 had an "anti-apoptotic effect" whereas HSV-2 had a stimulation on "apoptotic effect", and in 6.1, 3 and 1.5 microg/mL of ACV HSV-1 had an "apoptotic effect" and HSV-2 turned to "its natural viral apoptotic effect level" (HSV-1 had an "natural viral apoptotic effect" whereas HSV-2 had a "natural viral apoptotic effect" on apoptosis response without any ACV). In 48.8, and 24.4 microg/mL of ACV, HSV-1 had significant "necrotic effect" on necrotic cellular death, "necrosis" increased in 12.2, 6.1, 3 and 1.5 microg/mL of ACV (HSV-1 had a negligible "necrotic effect" on HEp-2 cells alone), and HSV-2 had a "natural viral necrotic effect" alone; and also in all non toxic ACV concentrations. These results showed that HSV-1 and -2 had different "strategies" on apoptosis/necrosis and NO with and without non toxic ACV. These differences deserve further studies in order to explain the interactions between apoptotic/anti apoptotic, necrotic genes and NO, and ACV in HSV-1 and HSV-2 infections respectively.     

Elastic network models for understanding biomolecular machinery: from enzymes to supramolecular assemblies

With advances in structure genomics, it is now recognized that knowledge of structure alone is insufficient to understand and control the mechanisms of biomolecular function. Additional information in the form of dynamics is needed. As demonstrated in a large number of studies, the machinery of proteins and their complexes can be understood to a good approximation by adopting Gaussian (or elastic) network models (GNM) for simplified normal mode analyses. While this approximation lacks chemical details, it provides us with a means for assessing the collective motions of large structures/assemblies and perform a comparative analysis of a series of proteins, thus providing insights into the mechanical aspects of biomolecular dynamics. In this paper, we discuss recent applications of GNM to a series of enzymes as well as large structures such as the HK97 bacteriophage viral capsids. Understanding the dynamics of large protein structures can be computationally challenging. To this end, we introduce a new approach for building a hierarchical, reduced rank representation of the protein topology and consequently the fluctuation dynamics.     

A Sequence Alignment-Independent Method for Protein Classification

Annotation of the rapidly accumulating body of sequence data relies heavily on the detection of remote homologues and functional motifs in protein families. The most popular methods rely on sequence alignment. These include programs that use a scoring matrix to compare the probability of a potential alignment with random chance and programs that use curated multiple alignments to train profile hidden Markov models (HMMs). Related approaches depend on bootstrapping multiple alignments from a single sequence. However, alignment-based programs have limitations. They make the assumption that contiguity is conserved between homologous segments, which may not be true in genetic recombination or horizontal transfer. Alignments also become ambiguous when sequence similarity drops below 40%. This has kindled interest in classification methods that do not rely on alignment. An approach to classification without alignment based on the distribution of contiguous sequences of four amino acids (4-grams) was developed. Interest in 4-grams stemmed from the observation that almost all theoretically possible 4-grams (20(4)) occur in natural sequences and the majority of 4-grams are uniformly distributed. This implies that the probability of finding identical 4-grams by random chance in unrelated sequences is low. A Bayesian probabilistic model was developed to test this hypothesis. For each protein family in Pfam-A and PIR-PSD, a feature vector called a probe was constructed from the set of 4-grams that best characterised the family. In rigorous jackknife tests, unknown sequences from Pfam-A and PIR-PSD were compared with the probes for each family. A classification result was deemed a true positive if the probe match with the highest probability was in first place in a rank-ordered list. This was achieved in 70% of cases. Analysis of false positives suggested that the precision might approach 85% if selected families were clustered into subsets. Case studies indicated that the 4-grams in common between an unknown and the best matching probe correlated with functional motifs from PRINTS. The results showed that remote homologues and functional motifs could be identified from an analysis of 4-gram patterns.     

Anisotropy of fluctuation dynamics of proteins with an elastic network model

Fluctuations about the native conformation of proteins have proven to be suitably reproduced with a simple elastic network model, which has shown excellent agreement with a number of different properties for a wide variety of proteins. This scalar model simply investigates the magnitudes of motion of individual residues in the structure. To use the elastic model approach further for developing the details of protein mechanisms, it becomes essential to expand this model to include the added details of the directions of individual residue fluctuations. In this paper a new tool is presented for this purpose and applied to the retinol-binding protein, which indicates enhanced flexibility in the region of entry to the ligand binding site and for the portion of the protein binding to its carrier protein.     

Decolourisation and dephenolisation potential of selected <Emphasis Type="Italic">Aspergillus</Emphasis> section <Emphasis Type="Italic">Nigri</Emphasis> strains – <Emphasis Type="Italic">Aspergillus tubingensis</Emphasis> in olive mill wastewater

Aspergillus section Nigri strains Aspergillus aculeatus Ege-K 258, A. foeditus var. pallidus Ege-K156, A. niger Ege-K 4 and A. tubingensis Ege-K 265 were used to treat olive mill wastewater (OMW) in an investigation aimed at exploring their dephenolisation and decolourisation ability and, consequently, the economic feasibility of using any or all of these strains in a pre-treatment step in the processing of OMW. Of these strains A. tubingensis Ege-K 265 resulted in an 80% decolourisation of twofold-diluted OMW and a 30% decolourisation of undiluted OMW; in addition, it was able to remove approximately 30% of all phenolic compounds in both twofold-diluted and undiluted OMW. We conclude that A. tubingensis Ege-K 265 could be effectively used in the pre-treatment step of a combined aerobic-anaerobic process to solve the environmental problems caused by OMW in Mediterranean countries.     

Characterization of the major histocompatibility complex locus association with Beh?et’s disease in Iran

IntroductionThe aim of this study was to characterize the association of human leukocyte antigen (HLA) B alleles and major histocompatibility complex (MHC) single nucleotide polymorphisms (SNPs) with Behçet’s disease (BD) in an Iranian dataset.MethodsThe association of three SNPs in the MHC region previously identified as the most associated in high-density genotyping studies was tested in a case–control study on 973 BD patients and 825 controls from Iran, and the association of HLA-B alleles was tested in a subset of 681 patients and 414 controls.ResultsWe found that HLA-B*51 (P = 4.11 × 10⁻⁴¹, OR [95% CI] = 4.63[3.66-5.85]) and B*15 confer risk for BD (P = 2.83 × 10⁻², OR [95% CI] = 1.75[1.08-2.84]) in Iranian, and in B*51 negative individuals, only the B*15 allele is significantly associated with BD (P = 2.51 × 10⁻³, OR [95% CI] = 2.40[1.37-4.20]). rs76546355, formerly known as rs116799036, located between HLA-B and MICA (MHC class I polypeptide-related sequence A), demonstrated the same level of association with BD as HLA-B*51 (P_adj = 1.78 × 10⁻⁴⁶, OR [95% CI] = 5.46[4.21-7.09], and P_adj = 8.34 × 10⁻⁴⁸, OR [95% CI] = 5.44[4.20-7.05], respectively) in the HLA-B allelotyped subset, while rs2848713 was less associated (P_adj = 7.14 × 10⁻³⁵, OR [95% CI] = 3.73[2.97-4.69]) and rs9260997 was not associated (P_adj = 1.00 × 10⁻¹). Additionally, we found that B*51 genotype-phenotype correlations do not survive Bonferroni correction, while carriers of the rs76546355 risk allele predominate in BD cases with genital ulcers, positive pathergy test and positive BD family history (2.31 × 10⁻⁴ ≤ P ≤ 1.59 × 10⁻³).ConclusionsWe found that the HLA-B*51 allele and the rs76546355/rs116799036 MHC SNP are independent genetic risk factors for BD in Iranian, and that positivity for the rs76546355/rs116799036 risk allele, but not for B*51, does correlate with specific demographic characteristics or clinical manifestations in BD patients.

Electronic supplementary material

The online version of this article (doi:10.1186/s13075-015-0585-6) contains supplementary material, which is available to authorized users.     

Structural Characterization and Drug Delivery System of Natural Growth-Modulating Peptide Against Glioblastoma Cancer

International Journal of Peptide Research and Therapeutics - The aim of the current study was to design a drug delivery nano-system of natural growth-modulating peptide known as GHK that naturally...