BINANA 2.0: Characterizing Protein/Ligand Interactions in Python and JavaScript

BINding ANAlyzer (BINANA) is an algorithm for identifying and characterizing protein/ligand interactions and other factors that contribute to binding. We recently updated BINANA to make the algorithm more accessible to a broader audience. We have also ported the Python3 codebase to JavaScript, thus enabling BINANA analysis in the web browser. As proof of principle, we created a web-browser application so students and chemical-biology researchers can quickly visualize receptor/ligand complexes and their unique binding interactions.

PENGEMBANGAN SISTEM INFORMASI PELATIHAN BERBASIS WEB MENGGUNAKAN TEKNOLOGI WEB SERVICE DAN FRAMEWORK LARAVEL

Pincher ID is a local startup that engaged in the education sector especially for providing training classes. For now, Pincher ID based on a mobile application that causes only a third party (Google Play store/ App Store) who can access it. Furthermore, mobile application Pincher ID is not indexed by search engine so it makes difficult for people to find it. In this research, training information system web-based with web service technology and framework Laravel will be built. Web service technology applied to the system for data integration so data can be stored centrally. The architecture of web service used in the system is REST because accessing REST with URL address on browser application, give easy access to the application. In this research, prototype method used to develop an information system based on a website that can be used by Pincher ID. The test result showed that the training information system worked well and in accordance with the user’s wishes.

PERANCANGAN MAIL CLIENT MENGGUNAKAN MEKANISME CREATE FOLDER OTOMATIS

The development of computer technology and telecommunications right now has changed the way society communicates. The technology used to communicate exists since the first Internet presence, that is to say by using the electronic mail. Email is a technology that allows everyone to communicate by sending messages or files. As with other ways that can be used to read and send emails, use the email client application. Email client is an application installed on a computer device used to access the email account on an email server, the email client does not need to use a browser application. But as long as this classification on email is still done manually on the part where the file storage download. To resolve the issue ranking of emails can be done automatically according to the name of the subject of e-mail, messages or files that are entered on the e-mail client of the application can then be downloaded and the data to download are stored in the folder that corresponds to the name of the subject e-mail, so that a message or file will be stored in a folder, it gives the convenience classification for mail client application mail user electronic with the number of messages or files that are much more consistent with the existing keywords in the subject of the email. This email client application can create folders automatically when downloading messages. Then, the downloaded file will be stored in the folder corresponding to the name of the subject. The file extension downloaded * .ml, the file can be opened via the mail client application. The mail client application can run on Windows and Linux operating systems.

The Connection between Antipatterns and Maintainability in Firefox

The notion that antipatterns have a detrimental effect on source code maintainability is widely accepted, but there is relatively little objective evidence to support it. We seek to investigate this issue by analyzing the connection between antipatterns and maintainability in an empirical study of Firefox, an open source browser application developed in C++. After extracting antipattern instances and maintainability information from 45 revisions, we looked for correlations to uncover a connection between the two concepts. We found statistically significant negative values for both Pearson and Spearman correlations, most of which were under -0.65. These values suggest there are strong, inverse relationships, thereby supporting our initial assumption that the more antipatterns the source code contains, the harder it is to maintain. Lastly, we combined these data into a table applicable for machine learning experiments, which we conducted using Weka [10] and several of its classifier algorithms. All five regression types we tried had correlation coefficients over 0.77 and used mostly negative weights for the antipattern predictors in the models we constructed. In conclusion, we can say that this empirical study is another step towards objectively demonstrating that antipatterns have an adverse effect on software maintainability.