-
1
-
-
25444447375
-
The signature amidase from sulfolobus solfataricus belongs to the cx3c subgroup of enzymes cleaving both amides and nitriles: Ser195 and cys145 are predicted to be the active sites nucleophiles
-
Cilia, E., Fabbri, A., Uriani, M., Scialdone, G.G., Ammendola, S.: The signature amidase from sulfolobus solfataricus belongs to the cx3c subgroup of enzymes cleaving both amides and nitriles: Ser195 and cys145 are predicted to be the active sites nucleophiles. The FEBS Journal 272, 4716-4724 (2005)
-
(2005)
The FEBS Journal
, vol.272
, pp. 4716-4724
-
-
Cilia, E.1
Fabbri, A.2
Uriani, M.3
Scialdone, G.G.4
Ammendola, S.5
-
2
-
-
37349044502
-
The ten most wanted solutions in Protein Bioinformatics
-
Chapman & Hall/CRC
-
Tramontano, A.: The ten most wanted solutions in Protein Bioinformatics. Mathematical Biology and Medicine Series. Chapman & Hall/CRC (2005)
-
(2005)
Mathematical Biology and Medicine Series
-
-
Tramontano, A.1
-
3
-
-
0033369033
-
Exploiting the past and the future in protein secondary structure prediction
-
Brunak, S., Baldi, P., Frasconi, P., Pollastri, G., Soda, G.: Exploiting the past and the future in protein secondary structure prediction. Bioinformatics 15(11) (1999)
-
(1999)
Bioinformatics
, vol.15
, Issue.11
-
-
Brunak, S.1
Baldi, P.2
Frasconi, P.3
Pollastri, G.4
Soda, G.5
-
4
-
-
0033954256
-
The protein data bank
-
Berman, H.M., Westbrook, J., Feng, Z., Gilliland, G., Bhat, T.N., Weissig, H., Shindyalov, I.N., Bourne, P.E.: The protein data bank. Nucleic Acids Res. 28(1), 235-242 (2000)
-
(2000)
Nucleic Acids Res
, vol.28
, Issue.1
, pp. 235-242
-
-
Berman, H.M.1
Westbrook, J.2
Feng, Z.3
Gilliland, G.4
Bhat, T.N.5
Weissig, H.6
Shindyalov, I.N.7
Bourne, P.E.8
-
5
-
-
2542555845
-
Superfamily active site templates
-
Meng, E.C., Polacco, B.J., Babbitt, P.C.: Superfamily active site templates. PRO-TEINS: Structure, Function, and Bioinformatics 55, 962-976 (2004)
-
(2004)
PRO-TEINS: Structure, Function, and Bioinformatics
, vol.55
, pp. 962-976
-
-
Meng, E.C.1
Polacco, B.J.2
Babbitt, P.C.3
-
9
-
-
38049169505
-
-
Collins, M., Duffy, N.: New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron. In: ACL02 (2002)
-
Collins, M., Duffy, N.: New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron. In: ACL02 (2002)
-
-
-
-
11
-
-
84911584312
-
Shortest connection networks and some generalizations
-
Prim, R.C.: Shortest connection networks and some generalizations. Bell Syst. Tech. Journal 36, 1389-1401 (1957)
-
(1957)
Bell Syst. Tech. Journal
, vol.36
, pp. 1389-1401
-
-
Prim, R.C.1
-
13
-
-
0002714543
-
Making large-scale svm learning practical
-
Schölkopf, B, Burges, C, Smola, A, eds
-
Joachims, T.: Making large-scale svm learning practical. In: Schölkopf, B., Burges, C., Smola, A. (eds.) Advances in Kernel Methods - Support Vector Learning (1999)
-
(1999)
Advances in Kernel Methods - Support Vector Learning
-
-
Joachims, T.1
-
14
-
-
13644251956
-
Orthogonal kernels machines for the prediction of functional sites in proteins
-
Yang, Z.R.: Orthogonal kernels machines for the prediction of functional sites in proteins. IEEE Trans. on Systems, Man and Cybernetics 35(1), 100-106 (2005)
-
(2005)
IEEE Trans. on Systems, Man and Cybernetics
, vol.35
, Issue.1
, pp. 100-106
-
-
Yang, Z.R.1
-
15
-
-
33746950964
-
Prediction of catalytic residues using support vector machine with selected protein sequence and structural properties
-
Petrova, N.V., Wu, C.H.: Prediction of catalytic residues using support vector machine with selected protein sequence and structural properties. BMC Bionformatics (7), 312-324 (2006)
-
(2006)
BMC Bionformatics
, pp. 312-324
-
-
Petrova, N.V.1
Wu, C.H.2
-
16
-
-
0033670134
-
Engineering support vector machine kernel that recognize translation initiation sites
-
Zien, A., Rätsch, G., Mika, S., Schölkopf, B., Lengauer, T., Muller, K.R: Engineering support vector machine kernel that recognize translation initiation sites. Bioinformatics 16(9), 799-807 (2000)
-
(2000)
Bioinformatics
, vol.16
, Issue.9
, pp. 799-807
-
-
Zien, A.1
Rätsch, G.2
Mika, S.3
Schölkopf, B.4
Lengauer, T.5
Muller, K.R.6
-
17
-
-
0035221556
-
Promoter region-based classification of genes
-
Pavlidis, P., Furey, T.S., Liberto, M., Grundy, W.N.: Promoter region-based classification of genes. In: Proceedings of the Pacific Symposium on Biocomputing, pp. 151-163 (2001)
-
(2001)
Proceedings of the Pacific Symposium on Biocomputing
, pp. 151-163
-
-
Pavlidis, P.1
Furey, T.S.2
Liberto, M.3
Grundy, W.N.4
-
18
-
-
0035023445
-
Predicting protein-protein interactions from primary structure
-
Bock, J.R., Gough, D.A.: Predicting protein-protein interactions from primary structure. Bionformatics 17(5), 455-460 (2001)
-
(2001)
Bionformatics
, vol.17
, Issue.5
, pp. 455-460
-
-
Bock, J.R.1
Gough, D.A.2
-
19
-
-
38049174977
-
-
Brown, M.P.S., Grundy, W.N., Lin, D., Cristianini, N., Sugnet, C., Ares, M., Haussler, D.: Support vector machine classification of microarray expression data. In: UCSC-URL (1999)
-
Brown, M.P.S., Grundy, W.N., Lin, D., Cristianini, N., Sugnet, C., Ares, M., Haussler, D.: Support vector machine classification of microarray expression data. In: UCSC-URL (1999)
-
-
-
-
20
-
-
0034602774
-
Knowledge-based analysis of microarray gene expression data by using support vector machine
-
Brown, M.P.S., Grundy, W.N., Lin, D., Cristianini, N., Sugnet, C., Furey, T.S., Ares, M., Haussler, D.: Knowledge-based analysis of microarray gene expression data by using support vector machine. PNAS 97(1), 262-267 (2000)
-
(2000)
PNAS
, vol.97
, Issue.1
, pp. 262-267
-
-
Brown, M.P.S.1
Grundy, W.N.2
Lin, D.3
Cristianini, N.4
Sugnet, C.5
Furey, T.S.6
Ares, M.7
Haussler, D.8
-
21
-
-
0033636139
-
Support vector machine classification and validation of cancer tissue samples using microarray expression data
-
Furey, T.S., Duffy, N., Cristianini, N., Bednarski, D., Schummer, M., Haussler, D.: Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics 16(10), 906-914 (2000)
-
(2000)
Bioinformatics
, vol.16
, Issue.10
, pp. 906-914
-
-
Furey, T.S.1
Duffy, N.2
Cristianini, N.3
Bednarski, D.4
Schummer, M.5
Haussler, D.6
-
22
-
-
38049110761
-
Learning gene functional classification from multiple data types
-
Biology
-
Pavlidis, P., Furey, T., Liberto, M., Grundy, W.N.: Learning gene functional classification from multiple data types. Journal of Computational Biology (2002)
-
(2002)
Journal of Computational
-
-
Pavlidis, P.1
Furey, T.2
Liberto, M.3
Grundy, W.N.4
|