LocTree3 prediction of localization

The prediction of protein sub-cellular localization is an important step toward elucidating protein function. For each query protein sequence, LocTree2 applies machine learning (profile kernel SVM) to predict the native sub-cellular localization in 18 classes for eukaryotes, in six for bacteria and in three for archaea. The method outputs a score that reflects the reliability of each prediction. LocTree2 has performed on par with or better than any other state-of-the-art method. Here, we report the availability of LocTree3 as a public web server. The server includes the machine learning-based LocTree2 and improves over it through the addition of homology-based inference. Assessed on sequence-unique data, LocTree3 reached an 18-state accuracy Q18 = 80 ± 3% for eukaryotes and a six-state accuracy Q6 = 89 ± 4% for bacteria. The server accepts submissions ranging from single protein sequences to entire proteomes. Response time of the unloaded server is about 90 s for a 300-residue eukaryotic protein and a few hours for an entire eukaryotic proteome not considering the generation of the alignments. For over 1000 entirely sequenced organisms, the predictions are directly available as downloads. The web server is available at http://www.rostlab.org/services/loctree3

FPGA and digital SOIC SET’s control under heavy ion and proton irradiation

The paper presents discussion about SETs generated in FPGA and SOIC under heavy ions and high energy protons irradiation and SET suppression in electronics. Schematic circuit for FPGA/SOIC SET detection is presented. The schematic circuit is designed for SET investigation both inside FPGA/SOIC and outside at package pin level. SET registration inside FPGA or SOIC is carried out as an event when logical cell is switched. Oscilloscope is used to register SETs at IC pin level. All SETs registered by oscilloscope are recorded and analyzed to collect data about SET amplitude and pulse width. The SET control schematic circuit was carried out at two different facilities: U400M heavy ion accelerator at the Joint Institute for Nuclear Research (JINR, Dubna, Russia) and picosecond PICO-3 laser facility (JSC «ENPO SPELS», Moscow, Russia). SET experimental results are presented and discussed in the paper