The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We report a computationally driven approach to access enantiodivergent enzymatic carbene N−H insertions catalyzed by P411 enzymes. Computational modeling was employed to rationally guide engineering efforts to control the accessible conformations of a key lactone‐carbene (LAC) intermediate in the enzyme active site by installing a new H‐bond anchoring point. This H‐bonding interaction controls the...
We report a computationally driven approach to access enantiodivergent enzymatic carbene N−H insertions catalyzed by P411 enzymes. Computational modeling was employed to rationally guide engineering efforts to control the accessible conformations of a key lactone‐carbene (LAC) intermediate in the enzyme active site by installing a new H‐bond anchoring point. This H‐bonding interaction controls the...
Nowadays, social networks have been used widely. They help people communicate with family, friends or colleagues easily. However, they are lack of effective protection and monitoring about message transmission. In addition, the rapid updates of messages and user information also give difficulties to administrators. The existing security protection mechanisms in social networks could not protect users'...
Recommender systems (RS) are used by many social networking applications and online e-commercial services. Collaborative filtering (CF) is one of the most popular approaches used for RS. However traditional CF approach suffers from sparsity and cold start problems. In this paper, we propose a hybrid recommendation model to address the cold start problem, which explores the item content features learned...
Prediction of stock market has attracted attention from industry to academia [1, 2]. Various machine learning algorithms such as neural networks, genetic algorithms, support vector machine, and others are used to predict stock prices.
Interest in traffic classification has dramatically grown in the past few years in both industry and academia. As more and more applications are encrypting the payloads and not to use well-known ports, traditional traffic classification methods such as transport-layer protocol ports based ones can not accurately and efficiently deal with these applications. In this paper we investigate the problem...
Grid computing architecture was defined to be a complete physical layer. The functions of information systems based on grid architecture are resources sharing, collaborative processing, etc. System performance is calculated from resource usages of all grid nodes. If we have load-balancing in all grid nodes, we will have good performance in the system. All the grid nodes are divided to supervisor,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.