Application of the self-organizing map as a prediction tool for an integrated constructed wetland agroecosystem treating agricultural runoff

A self-organizing map (SOM) model was applied as a prediction tool for the performance of an integrated constructed wetland (ICW) agroecosystem treating agricultural runoff to protect receiving watercourses. By utilizing the SOM model, the time-consuming to measure expensive biochemical oxygen demand outflow concentrations were predicted well by other inexpensive variables, which were quicker and easier to measure. Correct predictions for the outflow biochemical oxygen demand concentrations were between 89% and 100%. This novel approach allows for the real time control of the outflow water quality of the ICW and potentially also of other treatment system applications. Moreover, the missing values and outliers from the large but incomplete ICW data set were replaced accurately by most likely values determined by the SOM model. This was important because the proportions of unusable entries for chemical oxygen demand, suspended solids and biochemical oxygen demand were very high: 41%, 54%, and 61%, respectively.     

Accurate prediction of kinase-substrate networks using knowledge graphs

Phosphorylation of specific substrates by protein kinases is a key control mechanism for vital cell-fate decisions and other cellular processes. However, discovering specific kinase-substrate relationships is time-consuming and often rather serendipitous. Computational predictions alleviate these challenges, but the current approaches suffer from limitations like restricted kinome coverage and inaccuracy. They also typically utilise only local features without reflecting broader interaction context. To address these limitations, we have developed an alternative predictive model. It uses statistical relational learning on top of phosphorylation networks interpreted as knowledge graphs, a simple yet robust model for representing networked knowledge. Compared to a representative selection of six existing systems, our model has the highest kinome coverage and produces biologically valid high-confidence predictions not possible with the other tools. Specifically, we have experimentally validated predictions of previously unknown phosphorylations by the LATS1, AKT1, PKA and MST2 kinases in human. Thus, our tool is useful for focusing phosphoproteomic experiments, and facilitates the discovery of new phosphorylation reactions. Our model can be accessed publicly via an easy-to-use web interface (LinkPhinder).     

Apocynin ameliorates NADPH oxidase 4 (NOX4) induced oxidative damage in the hypoxic human retinal Müller cells and diabetic rat retina

Molecular and Cellular Biochemistry - NADPH oxidase (NOX) is a main producers of reactive oxygen species (ROS) that may contribute to the early pathogenesis of diabetic retinopathy (DR). ROS has...     

XRD studies of polyurethane elastomers based on chitin/1,4-butane diol blends

Chitin based polyurethane elastomers (PUEs) were synthesized by step growth polymerization techniques using poly (ε-caprolactone) (PCL), 4, 4′- diphenylmethane diisocyanate (MDI) and blends of chitin and 1,4-butanne diol (BDO). The conventional spectroscopic characterization of the samples with FT-IR, ¹H NMR and ¹³C NMR were in accordance with proposed PUEs structure. The crystalline behavior of the synthesized polymers were investigated by X-ray diffraction (XRD), differential scanning calorimetery (DSC), optical microscopic technique and loss tangent curves (tan δ peaks). Results showed that crystallinity of the synthesized PUEs samples was affected by varying the chitin contents used as chain extender. The contents of chitin favors the formation of more ordered structure, as higher peak intensities were obtained from the PU extended with chitin than 1,4-butane diol (BDO). X-ray diffraction experiments results correlates with optical microscopy findings. The higher ΔH value; 41.57 (J g^?1) was found in the samples extended with chitin than BDO (31.32 J g^?1).     

Industrial workwear for hot workplace environments: thermal management attributes

International Journal of Biometeorology - Personal protective clothing (PPC) is critical for worker safety and wellbeing from both protection and thermal management perspectives, particularly as...     

Genetic association of IDE,POU2F1, PON1, IL1α and IL1β with type 2 diabetes in Pakistani population

A number of genes are known to be involved in glucose homeostasis. Mutations and polymorphisms in candidate genes may effect insulin production, action or resistance. This study was designed to report the association of genetic polymorphism with the type 2 diabetes (T2D) in Pakistani population. A total of 458 subjects (case n = 288, control n = 170) participated in the study. Nine single nucleotide polymorphisms were investigated in genes IDE (rs6583813 C>T, rs7910977 C>T), POU2F1 (rs3767434 A>T, rs10918682 A>T, rs2146727 A>G), WFS1 (rs734312 A>G), PON1 (rs854560 T>A), IL1α (rs1800587 C>T) and IL1β (rs1143634 C>T). Genotyping was performed by DNA sequencing after nested polymerase chain reaction of targeted regions. Results indicated that rs7910977 in IDE showed significant association with the development of T2D [P = 0.012, OR 1.677 (95 % CI 1.112–2.438)]. The rs10918682 in POU2F1 was associated with T2D [P < 0.001, OR 3.606 (95 % CI 2.165–6.005)]. The rs854560 in PON1was associated with incidences of T2D and increased the risk of cardiovascular complications [P = 0.031, OR 0.663 (95 % CI 0.455–0.965)] in diabetics. The rs734312 from WFS1 gene was associated with diabetes at genotype level (P < 0.01). Haplotype analysis of rs1800587–rs1143634 depicted CC haplotype increased the susceptibility to diabetes (P < 0.05). Haplotype GAA from rs2146727–10918682–rs3767434 was protective against diabetes (P < 0.01) and GGA exhibited the association with T2D (P < 0.01). Haplotype CT from rs6583813–rs7910977 was protective against diabetes (P = 0.02). Our study provided evidence to IDE, PON1, WFS1, POU2F1, IL1α and IL1β associated with T2D in Pakistanis.     

Prediction of Structure of Human WNT-CRD (FZD) Complex for Computational Drug Repurposing

The observed genetic alterations of various extracellular and intracellular WNT (Wingless, Int-1 proto-oncogene) signaling components can result in an increase or decrease in gene expression, and hence can be obstructed proficiently. These genetics target sites may include the prevention of WNT-FZD (Frizzled) binding, destruction of β-catenin and formation of Axin, APC and GSK-3β complex. Hence, the localized targeting of these interacting partners can help in devising novel inhibitors against WNT signaling. Our present study is an extension of our previous work, in which we proposed the co-regulated expression pattern of the WNT gene cluster (WNT-1, WNT-6, WNT-10A and WNT-10B) in human breast carcinoma. We present here the computationally modeled three dimensional structure of human WNT-1 in complex with the FZD-1 CRD (Cysteine Rich Domain) receptor. The dimeric cysteine-rich domain was found to fit into the evolutionarily conserved U-shaped groove of WNT protein. The two ends of the U- shaped cleft contain N-terminal and C-terminal hydrophobic residues, thus providing a strong hydrophobic moiety for the frizzled receptor and serving as the largest binding pocket for WNT-FZD interaction. Detailed structural analysis of this cleft revealed a maximum atomic distance of ∼28 Å at the surface, narrowing down to ∼17 Å and again increasing up to ∼27 Å at the bottom. Altogether, structural prediction analysis of WNT proteins was performed to reveal newer details about post-translational modification sites and to map the novel pharmacophore models for potent WNT inhibitors.     

Proteomic analysis of rat kidney cortex following treatment with gentamicin

The regionally specific structure and function of the kidney renders it susceptible to toxic exposure. To characterize these changes at the proteome level, we have investigated the effects on protein expression following treatment with gentamicin. The more than 20 proteins identified were involved in the citric acid cycle, gluconeogenesis, fatty acid synthesis, and transport or cellular stress responses. These results strongly support the notion that energy production is impaired and mitochondrial dysfunction is involved in gentamicin-induced nephrotoxicity.