1,721,129 research outputs found
Exploiting Intrastructure Information for Secondary Structure Prediction with Multifaceted Pipelines
No full textPredicting the secondary structure of proteins is still a typical step in several bioinformatic tasks, in particular, for tertiary structure prediction. Notwithstanding the impressive results obtained so far, mostly due to the advent of sequence encoding schemes based on multiple alignment, in our view the problem should be studied from a novel perspective, in which understanding how available information sources are dealt with plays a central role. After revisiting a well-known secondary structure predictor viewed from this perspective ( with the goal of identifying which sources of information have been considered and which have not), we propose a generic software architecture designed to account for all relevant information sources. To demonstrate the validity of the approach, a predictor compliant with the proposed generic architecture has been implemented and compared with several state-of-the-art secondary structure predictors. Experiments have been carried out on standard data sets, and the corresponding results confirm the validity of the approach. The predictor is available at http://iasc.diee.unica.it/ssp2/ through the corresponding web application or as downloadable stand-alone portable unpack-and-run bundle
Experimenting Heterogeneous Output Combination to Improve Secondary Structure Predictions
No full textLo sviluppo dell’italiano seconda lingua: l’interlingua.
No full textPanoramica sul concetto di interlingua e le sue implicazioni glottodidattich
A complex case of renal amyloidosis with a rare co-occurrence of 2 mutations in separate hereditary periodic fever syndrome-related genes
No full text
GAME: A Generic Architecture based on Multiple Experts for Predicting Protein Structures
No full text
Sum-Linear Blosum: A Novel Protein - Encoding Method for Secondary Structure Prediction
No full textIt is widely acknowledged that encoding methods play a fundamental role in the field of protein secondary structure prediction, their task being to transform the available biological information in a form directly usable by the under- lying predictor. This transformation is particularly critical, as the relationship between primary and secondary structure is very subtle and difficult to capture. In this paper we compare three different encoding methods and introduce a new encoding which we show to be superior. Experiments have been per- formed with a software architecture devised to guarantee the statistical significance of the results. The current release of the predictor is freely usable through the online web interface at http://iasc2.diee.unica.it/ssp. The corresponding stand alone application (together with the data sets used for benchmarking purposes), as well as the source listing (in Java) of the GAME generic architecture used to implement the predictor, can be downloaded from the main page of the web interface. The soft- ware provided in source format can be freely distributed un- der the GPL license. The proposed method has been compared with other state-of-the-art encoding methods, and experimental results confirm its superiority. In particular, we obtained an improvement that ranges from 0.5 to 1.5%, measured both by Q3 and SOV performance indexes
- …
