Sn-Beta zeolites with borate salts catalyse the epimerization of carbohydrates via an intramolecular carbon shift

Carbohydrate epimerization is an essential technology for the widespread production of rare sugars. In contrast to other enzymes, most epimerases are only active on sugars substituted with phosphate or nucleotide groups, thus drastically restricting their use. Here we show that Sn-Beta zeolite in the presence of sodium tetraborate catalyses the selective epimerization of aldoses in aqueous media. Specifically, a 5 wt% aldose (for example, glucose, xylose or arabinose) solution with a 4:1 aldose:sodium tetraborate molar ratio reacted with catalytic amounts of Sn-Beta yields near-equilibrium epimerization product distributions. The reaction proceeds by way of a 1,2 carbon shift wherein the bond between C-2 and C-3 is cleaved and a new bond between C-1 and C-3 is formed, with C-1 moving to the C-2 position with an inverted configuration. This work provides a general method of performing carbohydrate epimerizations that surmounts the main disadvantages of current enzymatic and inorganic processes.National Science Foundation (U.S.). Materials Research Science and Engineering Centers (Program) (Award DMR-0819762)DuPont MIT Alliance (Graduate Research Fellowship)National Institutes of Health (U.S.) (Grant EB-001960)National Institutes of Health (U.S.) (Grant EB-002026)National Science Foundation (U.S.). Graduate Research Fellowship Program (Grant 1122374

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency–Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research

Restricted Lie Algebras via Monadic Decomposition

We give a description of the category of restricted Lie algebras over a field (Formula presented.) of prime characteristic by means of monadic decomposition of the functor that computes the (Formula presented.)-vector space of primitive elements of a (Formula presented.)-bialgebra

Enzymatic Degradation of Industrial Wastewater Pollutants

Enzymes are biocatalysts which intend to accelerate any biochemical reaction. The mutual principle of different enzymes is to form an enzyme-substrate complex. Some enzymes need activators with the intention to become active, while others do not. A decreasing or termination of enzymes activities can be occurred by competitive, noncompetitive, or uncompetitive inhibitions. In the last two decades, enzymes gained various advantages over microorganisms with the purpose of treating different forms of pollutants in different types of wastewater. In addition, the recovery of effective and beneficial compounds from industrial wastewater particularly is another advantage offered by enzymes. The development of competent and suitable solutions is a significant research area for degrading specific compounds in industrial wastewaters. Enzymatic degradation, which is a process of decomposing natural and synthetic polymers, is one of the approaches in order to treat or recover different types of pollutants. Different configurations of enzymatic reactors can be operated with the purpose of conducting the enzymatic degradation process to achieve a promising treatment of industrial wastewater