Rita Casadio

2008
42	EE	Ludovica Montanucci, Piero Fariselli, Pier Luigi Martelli, Rita Casadio: Predicting protein thermostability changes from sequence upon multiple mutations. ISMB 2008: 190-195
41	EE	Marco Vassura, Luciano Margara, Pietro di Lena, Filippo Medri, Piero Fariselli, Rita Casadio: FT-COMAR: fault tolerant three-dimensional structure reconstruction from protein contact maps. Bioinformatics 24(10): 1313-1315 (2008)
40	EE	Marco Vassura, Luciano Margara, Pietro di Lena, Filippo Medri, Piero Fariselli, Rita Casadio: Reconstruction of 3D Structures From Protein Contact Maps. IEEE/ACM Trans. Comput. Biology Bioinform. 5(3): 357-367 (2008)
2007
39	EE	Piero Fariselli, Daniele Molinini, Rita Casadio, Anders Krogh: Prediction of Structurally-Determined Coiled-Coil Domains with Hidden Markov Models. BIRD 2007: 292-302
38	EE	Marco Vassura, Luciano Margara, Filippo Medri, Pietro di Lena, Piero Fariselli, Rita Casadio: Reconstruction of 3D Structures from Protein Contact Maps. ISBRA 2007: 578-589
37	EE	Maria Mirto, Ivan Rossi, Italo Epicoco, Sandro Fiore, Piero Fariselli, Rita Casadio, Giovanni Aloisio: High Throughput Protein Similarity Searches in the LIBI Grid Problem Solving Environment. ISPA Workshops 2007: 414-423
36	EE	Luciana Carota, Lisa Bartoli, Piero Fariselli, Pier Luigi Martelli, Ludovica Montanucci, Giorgio Maggi, Rita Casadio: High Throughput Comparison of Prokaryotic Genomes. PPAM 2007: 1200-1209
35	EE	Marco Vassura, Luciano Margara, Pietro di Lena, Filippo Medri, Piero Fariselli, Rita Casadio: Fault Tolerance for Large Scale Protein 3D Reconstruction from Contact Maps. WABI 2007: 25-37
34	EE	Marco Vassura, Luciano Margara, Piero Fariselli, Rita Casadio: A Graph Theoretic Approach to Protein Structure Selection. WILF 2007: 497-504
33	EE	Emidio Capriotti, Rita Casadio: K-Fold: a tool for the prediction of the protein folding kinetic order and rate. Bioinformatics 23(3): 385-386 (2007)
32	EE	Piero Fariselli, Ivan Rossi, Emidio Capriotti, Rita Casadio: The WWWH of remote homolog detection: The state of the art. Briefings in Bioinformatics 8(2): 78-87 (2007)
31	EE	Rita Casadio: Guest Editor's Introduction to the Special Section on Computational Biology and Bioinformatics (WABI) - Part 2. IEEE/ACM Trans. Comput. Biology Bioinform. 4(1): 3 (2007)
30	EE	Andrea Pierleoni, Pier Luigi Martelli, Piero Fariselli, Rita Casadio: eSLDB: eukaryotic subcellular localization database. Nucleic Acids Research 35(Database-Issue): 208-212 (2007)
2006
29	EE	Andrea Pierleoni, Pier Luigi Martelli, Piero Fariselli, Rita Casadio: BaCelLo: a balanced subcellular localization predictor. ISMB (Supplement of Bioinformatics) 2006: 415-416
28	EE	Emidio Capriotti, Remo Calabrese, Rita Casadio: Predicting the insurgence of human genetic diseases associated to single point protein mutations with support vector machines and evolutionary information. Bioinformatics 22(22): 2729-2734 (2006)
27	EE	Rita Casadio: Guest Editor's Introduction to the Special Issue on Computational Biology and Bioinformatics -- Part 1. IEEE/ACM Trans. Comput. Biology Bioinform. 3(4): 321-322 (2006)
26	EE	Mauro Amico, Michele Finelli, Ivan Rossi, Andrea Zauli, Arne Elofsson, Håkan Viklund, Gunnar von Heijne, David Jones, Anders Krogh, Piero Fariselli, Pier Luigi Martelli, Rita Casadio: PONGO: a web server for multiple predictions of all-alpha transmembrane proteins. Nucleic Acids Research 34(Web-Server-Issue): 169-172 (2006)
2005
25		Rita Casadio, Gene Myers: Algorithms in Bioinformatics, 5th International Workshop, WABI 2005, Mallorca, Spain, October 3-6, 2005, Proceedings Springer 2005
24	EE	Emidio Capriotti, Piero Fariselli, Remo Calabrese, Rita Casadio: Predicting protein stability changes from sequences using support vector machines. ECCB/JBI 2005: 58
23	EE	Piero Fariselli, Michele Finelli, Ivan Rossi, Mauro Amico, Andrea Zauli, Pier Luigi Martelli, Rita Casadio: TRAMPLE: the transmembrane protein labelling environment. Nucleic Acids Research 33(Web-Server-Issue): 198-201 (2005)
22	EE	Emidio Capriotti, Piero Fariselli, Rita Casadio: I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure. Nucleic Acids Research 33(Web-Server-Issue): 306-310 (2005)
2004
21	EE	Emidio Capriotti, Piero Fariselli, Rita Casadio: A neural-network-based method for predicting protein stability changes upon single point mutations. ISMB/ECCB (Supplement of Bioinformatics) 2004: 63-68
20	EE	Carine Berezin, Fabian Glaser, Josef Rosenberg, Inbal Paz, Tal Pupko, Piero Fariselli, Rita Casadio, Nir Ben-Tal: ConSeq: the identification of functionally and structurally important residues in protein sequences. Bioinformatics 20(8): 1322-1324 (2004)
2003
19	EE	Pier Luigi Martelli, Piero Fariselli, Rita Casadio: An ENSEMBLE machine learning approach for the prediction of all-alpha membrane proteins. ISMB (Supplement of Bioinformatics) 2003: 205-211
18	EE	Piero Fariselli, Giacomo Finocchiaro, Rita Casadio: Prediction of Signal Peptide in Proteins with Neural Networks. WIRN 2003: 237-244
17		Piero Fariselli, Giacomo Finocchiaro, Rita Casadio: SPEPlip: the detection of signal peptide and lipoprotein cleavage sites. Bioinformatics 19(18): 2498-2499 (2003)
16		Piero Fariselli, Michele Finelli, Davide Marchignoli, Pier Luigi Martelli, Ivan Rossi, Rita Casadio: MaxSubSeq: an algorithm for segment-length optimization. The case study of the transmembrane spanning segments. Bioinformatics 19(4): 500-505 (2003)
15		Rita Casadio, Piero Fariselli, Pier Luigi Martelli: In silico prediction of the structure of membrane proteins: Is it feasible? Briefings in Bioinformatics 4(4): 341-348 (2003)
2002
14		Pier Luigi Martelli, Piero Fariselli, Anders Krogh, Rita Casadio: A sequence-profile-based HMM for predicting and discriminating beta barrel membrane proteins. ISMB 2002: 46-53
2001
13		Gianluca Pollastri, Pierre Baldi, Piero Fariselli, Rita Casadio: Improved prediction of the number of residue contacts in proteins by recurrent neural networks. ISMB (Supplement of Bioinformatics) 2001: 234-242
12		Piero Fariselli, Rita Casadio: RCNPRED: prediction of the residue co-ordination numbers in proteins. Bioinformatics 17(1): 202-204 (2001)
11		Piero Fariselli, Rita Casadio: Prediction of disulfide connectivity in proteins. Bioinformatics 17(10): 957-964 (2001)
2000
10		Piero Fariselli, Rita Casadio: Prediction of the Number of Residue Contacts in Proteins. ISMB 2000: 146-151
1999
9		Rita Casadio, Mario Compiani, Piero Fariselli, Pier Luigi Martelli: A Data Base of Minimally Frustrated Alpha-Helical Segments Extracted from Proteins According to an Entropy Criterion. ISMB 1999: 68-76
1997
8		Piero Fariselli, Rita Casadio: Pseudodihedral Potential of Protein Residues and the Prediction of Folding. BCEC 1997: 112-121
7		P. Arrigo, Piero Fariselli, Rita Casadio: Self-Organizing Neural Maps of the Coding Sequences of G-protein-coupled Receptors Reveal Local Domains Associated with Potentially Functional Determinants in the Proteins. ISMB 1997: 44-47
6		Francesco Vivarelli, Piero Fariselli, Rita Casadio: The Prediction of Protein Secondary Structure with a Cascade Correlation Learning Architecture of Neural Networks. Neural Computing and Applications 6(1): 57-62 (1997)
1996
5		P. Arrigo, Piero Fariselli, Rita Casadio: The Identification of Locally Ordered Features an Completely unaligned Genomic Sequences by using an Unsupervised Neural Classifier. German Conference on Bioinformatics 1996: 156-158
4		Burkhard Rost, Rita Casadio, Piero Fariselli: Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming. ISMB 1996: 192-200
3		Piero Fariselli, Rita Casadio: HTP: a neural network-based method for predicting the topology of helical transmembrane domains in proteins. Computer Applications in the Biosciences 12(1): 41-48 (1996)
1995
2		Rita Casadio, Mario Compiani, Piero Fariselli, Francesco Vivarelli: Predicting Free Energy Contribution to the Conformational Stability of Folded Proteins From the Residue Sequence with Radial Basis Function Networks. ISMB 1995: 81-88
1		Francesco Vivarelli, G. Giusti, M. Villani, Renato Campanini, Piero Fariselli, Mario Compiani, Rita Casadio: LGANN: a parallel system combining a local genetic algorithm and neural networks for the prediction of secondary structure of proteins. Computer Applications in the Biosciences 11(3): 253-260 (1995)

Coauthor Index

1	Giovanni Aloisio	[37]
2	Mauro Amico	[23] [26]
3	P. Arrigo	[5] [7]
4	Pierre Baldi	[13]
5	Lisa Bartoli	[36]
6	Nir Ben-Tal	[20]
7	Carine Berezin	[20]
8	Remo Calabrese	[24] [28]
9	Renato Campanini	[1]
10	Emidio Capriotti	[21] [22] [24] [28] [32] [33]
11	Luciana Carota	[36]
12	Mario Compiani	[1] [2] [9]
13	Arne Elofsson	[26]
14	Italo Epicoco	[37]
15	Piero Fariselli	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [26] [29] [30] [32] [34] [35] [36] [37] [38] [39] [40] [41] [42]
16	Michele Finelli	[16] [23] [26]
17	Giacomo Finocchiaro	[17] [18]
18	Sandro Fiore	[37]
19	G. Giusti	[1]
20	Fabian Glaser	[20]
21	Gunnar von Heijne	[26]
22	David Jones	[26]
23	Anders Krogh	[14] [26] [39]
24	Pietro di Lena	[35] [38] [40] [41]
25	Giorgio Maggi	[36]
26	Davide Marchignoli	[16]
27	Luciano Margara	[34] [35] [38] [40] [41]
28	Pier Luigi Martelli	[9] [14] [15] [16] [19] [23] [26] [29] [30] [36] [42]
29	Filippo Medri	[35] [38] [40] [41]
30	Maria Mirto	[37]
31	Daniele Molinini	[39]
32	Ludovica Montanucci	[36] [42]
33	Eugene W. Myers (Gene Myers)	[25]
34	Inbal Paz	[20]
35	Andrea Pierleoni	[29] [30]
36	Gianluca Pollastri	[13]
37	Tal Pupko	[20]
38	Josef Rosenberg	[20]
39	Ivan Rossi	[16] [23] [26] [32] [37]
40	Burkhard Rost	[4]
41	Marco Vassura	[34] [35] [38] [40] [41]
42	Håkan Viklund	[26]
43	M. Villani	[1]
44	Francesco Vivarelli	[1] [2] [6]
45	Andrea Zauli	[23] [26]

Colors in the list of coauthors