32 citations · 68 across the 6 of their papers we have counts for
6 papers
The Human Plasma Membrane Peripherome: Visualization and Analysis of Interactions
Katerina C. Nastou, Georgios N. Tsaousis, Kimon E. Kremizas +2
A major part of membrane function is conducted by proteins, both integral and peripheral. Peripheral membrane proteins temporarily adhere to biological membranes, either to the lip…
PRED-CLASS: cascading neural networks for generalized protein classification and genome-wide applications
Claude Pasquier, Vasilis Promponas, Stavros Hamodrakas
A cascading system of hierarchical, artificial neural networks (named PRED-CLASS) is presented for the generalized classification of proteins into four distinct classes-transmembra…
A web server to locate periodicities in a sequence
Claude Pasquier, Stavros Hamodrakas, Vassilis Promponas +1
Summary : FT is a tool written in C++, which implements the Fourier analysis method to locate periodicities in aminoacid or DNA sequences. It is provided for free public use on a W…
CoPreTHi: a Web tool which combines transmembrane protein segment prediction methods
Vasilis Promponas, Giorgos Palaios, Claude Pasquier +2
CoPreTHi is a Java based web application, which combines the results of methods that predict the location of transmembrane segments in protein sequences into a joint prediction his…
An hierarchical artificial neural network system for the classification of transmembrane proteins
Claude Pasquier, Stavros Hamodrakas
This work presents a simple artificial neural network which classifies proteins into two classes from their sequences alone: the membrane protein class and the non-membrane protein…
A novel method for predicting transmembrane segments in proteins based on a statistical analysis of the SwissProt database: the PRED-TMR algorithm
Claude Pasquier, Vasilis Promponas, Giorgos Palaios +2
We present a novel method that predicts transmembrane domains in proteins using solely information contained in the sequence itself. The PRED-TMR algorithm described, refines a sta…