Highly stable Ag nanoparticles in agar-agar matrix as inorganic–organic hybrid

A novel synthesis of inorganic–organic hybrid films containing well dispersed and almost uniform size Ag nanoparticles in agar-agar matrix has been reported. The films are found to be highly stable for more than a year. The colloidal particles of Ag can be obtained in large quantities in the form of a film or in the gel form when dispersed in agar-agar or by dissolving in a suitable solvent as solution. Characterization has been done by UV–visible spectroscopy and TEM. The hybrid may be of interest to study third-order non-linear susceptibility.     

Solid-state phase transformations in solution: templated conversion of nanoscale nickel phosphides

Conversion of Ni(12)P(5) nanoparticles to Ni(2)P is demonstrated to occur via a solid-state, rather than a solution dissolution, process. The templated transformation is employed to make monodisperse hollow or solid particles of the catalytically active phase Ni(2)P with surface areas of ~17 m(2) g(-1).     

UnbiasedDTI: Mitigating Real-World Bias of Drug-Target Interaction Prediction by Using Deep Ensemble-Balanced Learning

Drug-target interaction (DTI) prediction through in vitro methods is expensive and time-consuming. On the other hand, computational methods can save time and money while enhancing drug discovery efficiency. Most of the computational methods frame DTI prediction as a binary classification task. One important challenge is that the number of negative interactions in all DTI-related datasets is far greater than the number of positive interactions, leading to the class imbalance problem. As a result, a classifier is trained biased towards the majority class (negative class), whereas the minority class (interacting pairs) is of interest. This class imbalance problem is not widely taken into account in DTI prediction studies, and the few previous studies considering balancing in DTI do not focus on the imbalance issue itself. Additionally, they do not benefit from deep learning models and experimental validation. In this study, we propose a computational framework along with experimental validations to predict drug-target interaction using an ensemble of deep learning models to address the class imbalance problem in the DTI domain. The objective of this paper is to mitigate the bias in the prediction of DTI by focusing on the impact of balancing and maintaining other involved parameters at a constant value. Our analysis shows that the proposed model outperforms unbalanced models with the same architecture trained on the BindingDB both computationally and experimentally. These findings demonstrate the significance of balancing, which reduces the bias towards the negative class and leads to better performance. It is important to note that leaning on computational results without experimentally validating them and by relying solely on AUROC and AUPRC metrics is not credible, particularly when the testing set remains unbalanced.     

Assessment of Factors Influencing the Agrobacterium-mediated in planta Seed Transformation of Brinjal (Solanum melongena L.)

An efficient and reproducible in planta transformation method was developed for brinjal using seed as an explant. The brinjal seeds were infected with Agrobacterium tumefaciens EHA 105 harbouring pCAMBIA 1301-bar plasmid, and the transformants were selected against BASTA®. Several parameters influencing the in planta seed transformation such as pre-culture duration, acetosyringone concentration, surfactants, duration of sonication, vacuum pressure and vacuum duration have been evaluated. The putatively transformed (T ₀) brinjal plants were screened by GUS histochemical analysis. Among the different combinations and concentrations tested, when the 18-h pre-cultured brinjal seeds were sonicated for 20 min and vacuum infiltered for 3 min at 500 mm of Hg in Agrobacterium suspension containing 100 μM acetosyringone, 0.2 % Silwett L-77 favoured the Agrobacterium infection and showed maximum transformation efficiency. Among the five brinjal varieties evaluated, Arka Samhitha showed maximum transformation efficiency at 45.66 %. The transgene was successfully transmitted to progeny plants (T ₁) which was evidenced by GUS histochemical analysis, polymerase chain reaction and Southern hybridisation. The in planta protocol developed in the present study would be beneficial to transfer the economically and nutritionally important genes into different varieties of brinjal, and the transgenic brinjal plants can be produced in less time (approximately 27 days).     

Oxidation does not (always) kill reactivity of transition metals: solution-phase conversion of nanoscale transition metal oxides to phosphides and sulfides

Unexpected reactivity on the part of oxide nanoparticles that enables their transformation into phosphides or sulfides by solution-phase reaction with trioctylphosphine (TOP) or sulfur, respectively, at temperatures of ≤370 °C is reported. Impressively, single-phase phosphide products are produced, in some cases with controlled anisotropy and narrow polydispersity. The generality of the approach is demonstrated for Ni, Fe, and Co, and while manganese oxides are not sufficiently reactive toward TOP to form phosphides, they do yield MnS upon reaction with sulfur. The reactivity can be attributed to the small size of the precursor particles, since attempts to convert bulk oxides or even particles with sizes approaching 50 nm were unsuccessful. Overall, the use of oxide nanoparticles, which are easily accessed via reaction of inexpensive salts with air, in lieu of organometallic reagents (e.g., metal carbonyls), which may or may not be transformed into metal nanoparticles, greatly simplifies the production of nanoscale phosphides and sulfides. The precursor nanoparticles can easily be produced in large quantities and stored in the solid state without concern that "oxidation" will limit their reactivity.     

Mineralization of oriented nano hydroxyapatite in photopolymerized polyacrylamide gel matrix

Polyacrylamide hydrogel is a biomaterial and nondegradable water based polymer which is used as tissue filler. Mineralization of hydroxyapatite (HAp) in a UV polymerized acrylamide gel matrix was investigated by varying the concentration of precursors and pH in the range 8, 9 and 10. During polymerization, diammonium hydrogen phosphate ions were impregnated in the gel matrix and subsequently, immersed in the calcium nitrate solution. Thin laminated macroporous structures, embedded with nanospheres and ribbons of HAp were mineralized. The HAp was found to be oriented along c‐axis, which could lead to the preferential binding of the acidic proteins on it's surface. In addition, there was an enlargement of pore sizes with an increase in pH. The laminated structures showed resorbable nature whereas, flake like structures obtained at higher concentrations were found to be bioactive. This composite could be an alternative to the use of silicone gel, to avoid long term risk of fibrosis and migration when implanted. (© 2010 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)