Combinatorial Chemistry & High Throughput Screening - Volume 21, Issue 9, 2018

The transformation of low cost sugar feedstocks into market chemicals and monomers for existing or novel high performance polymers by chemical catalysis is reviewed. Emphasis is given to industrially relevant, continuous flow, trickle bed processes. Since long-term catalyst stability under hydrothermal conditions is an important issue to be addressed in liquid phase catalysis using carbohydrate feedstocks, we will pri Read More

Aim and Objective: Cancer is a dangerous disease worldwide, caused by somatic mutations in the genome. Diagnosis of this deadly disease at an early stage is exceptionally new clinical application of microarray data. In DNA microarray technology, gene expression data have a high dimension with small sample size. Therefore, the development of efficient and robust feature selection methods is indispensable that identify a sm Read More

Background: Multicomponent processes have played powerful roles in achieving complex structures, which are also aligned with green chemistry. Thus, MCRs have attracted considerable interest due to their atom economy, simple experimental procedures, automated synthesis, convenience and synthetic efficiency. Isocyanides are one of the crucial starting material in designing MCRs methods. They are unique building blocks Read More

Background: Lymphadenectomy has been widely used in the treatment of malignant germ cell tumor of the ovary (OGCT), which is a kind of ovarian cancers occurred mostly in young women and adolescent girls. But the clinical decision mainly depends on the doctor’s experience without a well-defined guideline. This population-based study aimed to evaluate the prognostic impact of lymphadenectomy in different stages o Read More

Background: Thrombin is the central protease of the vertebrate blood coagulation cascade, which is closely related to cardiovascular diseases. The inhibitory constant Ki is the most significant property of thrombin inhibitors. Method: This study was carried out to predict Ki values of thrombin inhibitors based on a large data set by using machine learning methods. Taking advantage of finding non-intuitive regularities on high-di Read More

Aim and Objective: A metabolic pathway is an important type of biological pathway, which is composed of a series of chemical reactions. It provides essential molecules and energies for living organisms. To date, several metabolic pathways have been uncovered. However, their completeness is still on the way. A number of prediction methods have been built to assign chemicals into certain metabolic pathway, which can further Read More

Aim and Objective: A common method used for massive detection of cellulolytic microorganisms is based on the formation of halos on solid medium. However, this is a subjective method and real-time monitoring is not possible. The objective of this work was to develop a method of computational analysis of the visual patterns created by cellulolytic activity through artificial neural networks description. Materials and Read More

Aims and Objectives: Solid Lipid Nanoparticles (SLNs) are pharmaceutical delivery systems that have advantages such as controlled drug release, long-term stability etc. Particle Size (PS) is one of the important criteria of SLNs. These factors affect drug release rate, bio-distribution etc. In this study, the formulation of SLNs using high-speed homogenization technique has been evaluated. The main emphasis of the work is to stu Read More