A cascading system of hierarchical artificial neural networks (named PRED-CLASS) is presented, for the generalized classification of proteins into four distinct classes: Transmembrane, Fibrous, Globular and ‘Mixed’, from information solely encoded in …
SmartTools is a development environment generator that definitions of the manipulated languages. It can accept Doc- provides a structure editor and semantic tools as main fea- ument Type Definitions (DTDs) as AST definitions to define tures. …
XML is based on two essential aspects: the modelization of data in a tree like structure and the separation between the information itself and the way it is displayed. XML structures are easily serializable. The separation between an abstract …
Computational analysis of protein sequences with statistical models, machine learning techniques or empirical rules leads to prediction of structural and functional features of the corresponding molecules. Taking into account the recent explosion of …
The study of cellular membrane proteins calls for computational tools to elaborate their structure, using their amino-acid sequence alone. Unfortunately, even today, it is very difficult to solve their 3-D structure by X-ray crystallography or NMR. …
This work presents a simple and fast artificial Neural Network (NN) with an hierarchical feed-forward topology and limited number of neurons, which classifies proteins into two classes, from their sequences alone: the membrane protein class and the …
FT is a new implementation of the Fourier analysis method to locate residue periodicities in aminoacid or DNA sequences. It take advantage of the opportunity offered by the worldwide web to provide tools for a wide audience without any installation …
Different methods have been developed for the prediction and topology of transmembrane segments in protein sequences. CoPreTHiuses the results of the most popular prediction methods (DAS, ISREC, PHD, SOSUI, TmPred, TopPred II) that are freely …