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Prediction of Interactions between Viral and Host Proteins Using Supervised Machine Learning Methods
The proposed SVM-based method can predict large scale interspecies viral-human PPIs and the nature and function of unknown viral proteins, interacting partners of host protein were identified using optimised SVM model.
Identification of infectious disease-associated host genes using machine learning techniques
This is the first computational method to identify infectious disease-associated host genes by integrating sequence and protein interaction network features and the results indicated that for small datasets, advanced DNN-based method does not offer significant advantage over the simpler supervised machine learning techniques, such as Support Vector Machine (SVM) or Random Forest (RF).
Antidiabetic and antioxidant activities of ethanolic extract of Semecarpus anacardium (Linn.) bark
Stem barks of S. anacardium possess strong anti-diabetic and antioxidant potentials and support traditional medicinal use for the treatment of diabetes mellitus and good source for natural antioxidants.
An improved method for identification of small non-coding RNAs in bacteria using support vector machine
A computational method to identify sRNAs in bacteria using support vector machine (SVM) classifier is proposed and it is confirmed that this method significantly improved the identification of sRN as in bacteria.
In vitro antioxidant and cytotoxic activity of ethanolic extract of Cinnamomum tamala (Tejpat) leaves
The present research was aimed to investigate in vitro antioxidant and cytotoxic effects of the ethanolic extract of the leaves of Cinnamomum tamala (Nees). The leaves of Cinnamomum tamala have shown
Formulation Development and In-Vivo Evaluation of Atorvastatin Calcium Solid Dispersion in Streptozotocin Induced Diabetic Mice
Atorvastatin calcium (ATV) is a selective competitive inhibitor of HMG CoA reductase characterized by poor aqueous solubility leading to inadequate bioavailability. The present study was designed to
Improving Flow Property of Nifedipine Loaded Solid-Lipid Nanoparticles by Means of Silica for Oral Solid Dosage Form
In this study, a new formulation of silica nanocomposite containing nifedipine (NI) loaded freeze-dried solid-lipid nanoparticles (NI-SLNs) and silica have been developed with improved flowability of
Antidiabetic, antihyperlipidemic and antioxidant properties of ethanol extract of Grewia asiatica Linn. bark in alloxan-induced diabetic rats
It is demonstrated that ethanol extract of barks from G. asiatica possess glucose, lipid lowering efficacy, restored liver glycogen and protects pancreas from oxidative damage in alloxan-induced diabetic rats.
Development of highly stable nifedipine solid-lipid nanoparticles.
Data from lyophilized SLNs using differential scanning calorimetry, powder X-ray diffraction, Fourier-transform infrared spectroscopy, and scanning electron microscopy indicated eventual transformation of NI-SLN-Tre from a crystalline to an amorphous state during the homogenization process, suggesting that trehalose might be a useful cryoprotectant forNI-SLNs.
Effect of starch 1500 as a binder and disintegrant in lamivudine tablets prepared by high shear wet granulation.
The formulation of lamivudine tablets with starch 1,500 exceeded the disintegration and dissolution performance of the povidone formulation that utilized a super disintegrant.