A citation-based method for searching scientific literature

P Frasconi, M Gori, A Sperduti. IEEE Trans Neural Netw 1998
Times Cited: 58







List of co-cited articles
112 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Supervised neural networks for the classification of structures.
A Sperduti, A Starita. IEEE Trans Neural Netw 1997
54
61


Exploiting the past and the future in protein secondary structure prediction.
P Baldi, S Brunak, P Frasconi, G Soda, G Pollastri. Bioinformatics 1999
199
17

The graph neural network model.
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini. IEEE Trans Neural Netw 2009
280
17

A self-organizing map for adaptive processing of structured data.
M Hagenbuchner, A Sperduti, Ah Chung Tsoi. IEEE Trans Neural Netw 2003
23
39


Learning long-term dependencies with gradient descent is difficult.
Y Bengio, P Simard, P Frasconi. IEEE Trans Neural Netw 1994
601
13

Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
S F Altschul, T L Madden, A A Schäffer, J Zhang, Z Zhang, W Miller, D J Lipman. Nucleic Acids Res 1997
13

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
13



Contextual processing of structured data by recursive cascade correlation.
Alessio Micheli, Diego Sona, Alessandro Sperduti. IEEE Trans Neural Netw 2004
8
87


Prediction of disulfide connectivity in proteins.
P Fariselli, R Casadio. Bioinformatics 2001
57
10

Processing directed acyclic graphs with recursive neural networks.
M Bianchini, M Gori, F Scarselli. IEEE Trans Neural Netw 2001
8
75

Recursive neural networks for processing graphs with labelled edges: theory and applications.
M Bianchini, M Maggini, L Sarti, F Scarselli. Neural Netw 2005
6
100

Selection of representative protein data sets.
U Hobohm, M Scharf, R Schneider, C Sander. Protein Sci 1992
647
8



Prediction of contact maps with neural networks and correlated mutations.
P Fariselli, O Olmea, A Valencia, R Casadio. Protein Eng 2001
97
8

Recovery of protein structure from contact maps.
M Vendruscolo, E Kussell, E Domany. Fold Des 1997
128
8

Learning first-pass structural attachment preferences with dynamic grammars and recursive neural networks.
Patrick Sturt, Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi. Cognition 2003
9
55

Porter: a new, accurate server for protein secondary structure prediction.
Gianluca Pollastri, Aoife McLysaght. Bioinformatics 2005
309
8

The Protein Data Bank.
H M Berman, J Westbrook, Z Feng, G Gilliland, T N Bhat, H Weissig, I N Shindyalov, P E Bourne. Nucleic Acids Res 2000
8

Computational capabilities of graph neural networks.
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini. IEEE Trans Neural Netw 2009
15
33

Neural network for graphs: a contextual constructive approach.
Alessio Micheli. IEEE Trans Neural Netw 2009
34
14

Disulfide bonds and protein folding.
W J Wedemeyer, E Welker, M Narayan, H A Scheraga. Biochemistry 2000
399
6



Prediction of coordination number and relative solvent accessibility in proteins.
Gianluca Pollastri, Pierre Baldi, Pietro Fariselli, Rita Casadio. Proteins 2002
156
6



The Protein Data Bank: a computer-based archival file for macromolecular structures.
F C Bernstein, T F Koetzle, G J Williams, E F Meyer, M D Brice, J R Rodgers, O Kennard, T Shimanouchi, M Tasumi. J Mol Biol 1977
5

Input-output HMMs for sequence processing.
Y Bengio, P Frasconi. IEEE Trans Neural Netw 1996
26
11





Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy.
Pier Luigi Martelli, Piero Fariselli, Luca Malaguti, Rita Casadio. Protein Sci 2002
23
13

Global fold determination from a small number of distance restraints.
A Aszódi, M J Gradwell, W R Taylor. J Mol Biol 1995
94
5



On the implementation of frontier-to-root tree automata in recursive neural networks.
M Gori, A Küchler, A Sperduti. IEEE Trans Neural Netw 1999
4
75

Prediction of the disulfide-bonding state of cysteine in proteins.
S M Muskal, S R Holbrook, S H Kim. Protein Eng 1990
74
5

Predicting the disulfide bonding state of cysteines using protein descriptors.
M H Mucchielli-Giorgi, S Hazout, P Tufféry. Proteins 2002
43
6



Prediction of the disulfide bonding state of cysteines in proteins with hidden neural networks.
Pier Luigi Martelli, Piero Fariselli, Luca Malaguti, Rita Casadio. Protein Eng 2002
34
8




Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.