141 research outputs found
Are thrombophilia more multifactorial than we thought: report of mosaicism for FII G20210A and novel FII T20061C gene variants
Di-μ-chlorido-bis{[2-({[2-(2-pyridyl)ethyl](2-pyridylmethyl)amino}methyl)phenol]zinc(II)} bis(perchlorate) dihydrate
The title compound, [Zn2Cl2(C20H21N3O)2](ClO4)2·2H2O, consists of a dinuclear ZnII cationic complex, two disordered perchlorate anions and two water molecules as solvate. The [Zn2(μ-Cl)2(HL)2]2+ cation [HL is 2-({[2-(2-pyridyl)ethyl](2-pyridylmethyl)amino}methyl)phenol] has a centrosymmetric structure with the ZnII ions in a distorted octahedral environment surrounded by an N3OCl2 donor set. HL acts as a tetradentate ligand through three N atoms from one amine group and two pyridyl arms and one O atom from the phenolic arm. The three N-donor sites of the HL ligand are arranged in meridional fashion, with the pyridine rings coordinated in trans positions with respect to each other. Consequently, the amine and phenol groups are trans to the asymmetric di-μ-chlorido exogenous bridges. A polymeric chain is formed along [010] by C(12)R
4
2(8) intermolecular hydrogen bonding. The perchlorate anion is disordered and was modelled by two sites in a 0.345 (18):0.655 (18) ratio. Water–perchlorate O—H⋯O interactions form cyclic structures, while phenol–water O—H⋯O interactions generate an infinite chain. In addition, weak intermolecular C—H⋯π(Ph) interactions between pyridine donor and phenol acceptor groups of neighboring cations build a two-dimensional polymeric structure parallel to (110)
Biochemical and ultrastructural changes in the liver of European perch (Perca fluviatilis L.) in response to cyanobacterial bloom in the Gruža reservoir
We investigated the biochemical and ultrastructural changes in the liver of the freshwater fish, European perch (Perca fluviatilis), in response to Aphanizomenon flos-aquae bloom in the Gruža Reservoir, Serbia. The activities of total manganese- and copper zinc-containing superoxide dismutase (Tot SOD, Mn-SOD, Cu/Zn-SOD), catalase (CAT), glutathione peroxidase (GSH-Px), glutathione reductase (GR) and biotransformation phase II enzyme glutathione-S-transferase (GST), as well as concentrations of total glutathione (GSH) and sulfhydryl (-SH) groups were examined before and during the bloom period. Mn-SOD activity was significantly higher, while the activities of Cu/Zn-SOD, CAT and GSH-Px and the concentration of the -SH groups were significantly lower during the bloom. The ultrastructure of the liver revealed necrotic and apoptotic damage to the hepatocytes during the bloom period. Our work represents the first study to report the influences of an Aphanizomenon flos-aquae bloom in the Gruža Reservoir on antioxidant biomarkers and on histopathological alterations in the liver of the freshwater fish European perch (Perca fluviatilis)
Analysis of nucleotide sequence repeats in coronaviruses
Repeats in nucleotide sequences are connected with various genome characteristics.
RNA secondary structures are related to repeats at the primary structure level. Four
different types of nucleotide repeats may be identified: direct non-complementary,
direct complementary, inverse non-complementary and inverse complementary. Reverse
complementary tandem repeats, for example, may form hairpin secondary structures,
while reverse non-complementary may be recognized by proteins. On the other side,
direct complementary and/or non-complementary repeats may be reflected in protein
sequence repeats, if found in the same reading frame, within the protein-coding sequence.
Here we analyzed (determined and compared) all four types of nucleotide repeats in
referent sequences of SARS-CoV-1, SARS-CoV-2 and MERS-COV viruses. In addition
to the complete repeat set, we analyze different repeat subsets: repeats with the left
component within the 5’ end, repeats with the right component within the 3’ end, and
repeats with at least one component within the surface glycoprotein coding sequence.
We found significant differences in repeat sets corresponding to analyzed sequences
in all analyzed repeat sets. In this moment we can only speculate what are the real
consequences of the discovered differencesBook of abstract: 4th Belgrade Bioinformatics Conference, June 19-23, 202
Clustering and classification of SARS-COV-2 isolates using RSCU
The existence of a large number of sequenced SARS-COV-2 isolates provides an
opportunity to observe genomic variability in a massive sample. The goal of our research
was to use data mining techniques to study possible correlation between codon usage
and classification by WHO-labels in a certain period of time.
The material includes 745,533 isolates with 12,236,672 coding sequences (proteins) from
NCBI (10.08.2022.). RSCU was used as a measure of codon usage. Samples are associated
with WHO-labels (based on Pango_Id) and time intervals. Inconsistency of WHO-labels
with periods in which the respective strains were actually present was observed. The
isolates with the observed discrepancy were excluded from the sample. Isolates without
assigned WHO-labels were also excluded. In addition, individual coding sequences
containing ambiguous nucleotide codes were eliminated.
Clustering was performed for each of the 12 common types of coding sequences
(proteins), with multiple methods and a different number of clusters. Neural clustering
gave the best results. For different protein types, different degrees of RSCU variability
are observed. In the case of proteins with a small variation in nucleotide contents, over
95% of the material belongs to a single cluster, while the other clusters are of negligible
size. In the case of proteins with more variations, a higher number of pure clusters (by
WHO-labels) is obtained, with a small number of heterogeneous clusters (about 10% of
the material). In those heterogeneous clusters, there are isolates with different WHOlabels
that were present in parallel at some point, as a kind of transitional forms between
two strains.
Different classification models were created on the same sample. Models based on
protein types with higher diversity between coding sequences are highly accurate (96-
100%). Using the classification models, the corresponding WHO-labels were associated
with isolates without previously assigned WHO-labels.Book of abstract: 4th Belgrade Bioinformatics Conference, June 19-23, 202
Supplementary data for the article: Borković-Mitić, S. S.; Prokić, M. D.; Krizmanić, I. I.; Mutić, J.; Trifković, J.; Gavrić, J.; Despotović, S. G.; Gavrilović, B. R.; Radovanović, T. B.; Pavlović, S. Z.; et al. Biomarkers of Oxidative Stress and Metal Accumulation in Marsh Frog (Pelophylax Ridibundus). Environmental Science and Pollution Research 2016, 23 (10), 9649–9659. https://doi.org/10.1007/s11356-016-6194-3
Supplementary material for: [https://doi.org/10.1007/s11356-016-6194-3]Related to published version: [http://cherry.chem.bg.ac.rs/handle/123456789/1941
Supplementary data for the article: Prokić, M. D.; Borković-Mitić, S. S.; Krizmanić, I. I.; Mutić, J. J.; Trifković, J. Đ.; Gavrić, J. P.; Despotović, S. G.; Gavrilović, B. R.; Radovanović, T. B.; Pavlović, S. Z.; et al. Bioaccumulation and Effects of Metals on Oxidative Stress and Neurotoxicity Parameters in the Frogs from the Pelophylax Esculentus Complex. Ecotoxicology 2016, 25 (8), 1531–1542. https://doi.org/10.1007/s10646-016-1707-x
Supplementary material for: [https://doi.org/10.1007/s10646-016-1707-x]Related to published version: [http://cherry.chem.bg.ac.rs/handle/123456789/2340
Structural study of Pt(II) and Pd(II) complexes with quinoline-2-carboxaldehyde thiosemicarbazone
Two square-planar complexes, [PtLCl] (1) and [PdLCl] (2), were synthesized with quinoline-2-carboxaldehyde thiosemicarbazone ligand (HL), and characterized by IR and NMR spectroscopy and single crystal X-ray diffraction analysis. In both complexes, L- is coordinated tridentately via the same donor atom set, while the fourth coordination site is occupied by a chloride ion. However, the complexes are not isostructural due to different types of non-covalent intermolecular interactions. These interactions were analyzed using Hirshfeld surfaces and two-dimensional fingerprint plots
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