Searching for authors named "Piero Fariselli" – sorted by Relevance.
-
Prediction of Residue Contacts in Proteins with Neural Networks Based on Single Sequence Information
- Information Piero Fariselli (1) and Rita Casadio (1, 2) (1) Biocomputing Group (Centro Interdipartimentale
- Add To MetaCart
-
Summary: SPEPlip is a neural network-based method,
- .1093/bioinformatics/btg360 SPEPlip: the detection of signal peptide and lipoprotein cleavage sites Piero Fariselli
- Add To MetaCart
-
MaxSubSeq: an algorithm for finding all the maximal scoring subsequences with constrained segment lenghts
- lenghts 1 Introduction Piero Fariselli , Michele Finelli ¡ , Davide Marchignoli ¡ and Rita Casadio Dept
- Add To MetaCart
-
I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure
- .0: predicting stability changes upon mutation from the protein sequence or structure Emidio Capriotti, Piero
- Cited by 1 (0 self) – Add To MetaCart
-
Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming
- Burkhard Rost ◊ , Rita Casadio, and Piero Fariselli EMBL, 69012 Heidelberg, Germany EBI, Hinxton, Cambridge
- Cited by 10 (3 self) – Add To MetaCart
-
Topology Prediction for Helical Transmembrane Proteins at 86% Accuracy
- Topology prediction for helical transmembrane proteins at 86% accuracy Burkhard Rost 1 , Piero
- Cited by 37 (9 self) – Add To MetaCart
-
Transmembrane helices predicted at 95% accuracy
- Transmembrane helices predicted at 95% accuracy Burkhard Rost 1 , Rita Casadio 2 , Piero Fariselli
- Cited by 20 (2 self) – Add To MetaCart
-
the prediction of all-alpha membrane proteins
- , Piero Fariselli and Rita Casadio ∗ Laboratory of Biocomputing, CIRB/Department of Biology, University
- Add To MetaCart
-
Algorithms for Molecular Biology BioMed Central Research Grammatical-Restrained Hidden Conditional Random Fields for
- Random Fields for Bioinformatics applications Piero Fariselli*, Castrense Savojardo, Pier Luigi Martelli
- Add To MetaCart

