-
1
-
-
0026210071
-
Accurate prediction of the stability and activity effects of site-directed mutagenesis on a protein core
-
10.1038/352448a0. 1861725
-
Accurate prediction of the stability and activity effects of site-directed mutagenesis on a protein core. C Lee M Levitt, Nature 1991 352 448 451 10.1038/352448a0 1861725
-
(1991)
Nature
, vol.352
, pp. 448-451
-
-
Lee, C.1
Levitt, M.2
-
2
-
-
33644847172
-
Prediction of protein stability changes for single-site mutations using support vector machines
-
10.1002/prot.20810. 16372356
-
Prediction of protein stability changes for single-site mutations using support vector machines. J Cheng A Randall P Baldi, Proteins 2006 62 4 1125 1132 10.1002/prot.20810 16372356
-
(2006)
Proteins
, vol.62
, Issue.4
, pp. 1125-1132
-
-
Cheng, J.1
Randall, A.2
Baldi, P.3
-
3
-
-
4544334447
-
Large-scale prediction of protein geometry and stability changes for arbitrary single point mutations
-
10.1002/prot.20185. 15340927
-
Large-scale prediction of protein geometry and stability changes for arbitrary single point mutations. AJ Bordner RA Abagyan, Proteins 2004 57 2 400 413 10.1002/prot.20185 15340927
-
(2004)
Proteins
, vol.57
, Issue.2
, pp. 400-413
-
-
Bordner, A.J.1
Abagyan, R.A.2
-
4
-
-
0029873155
-
Stability changes upon mutation of solvent-accessible residues in proteins evaluated by database-derived potentials
-
10.1006/jmbi.1996.0226. 8632471
-
Stability changes upon mutation of solvent-accessible residues in proteins evaluated by database-derived potentials. D Gilis M Rooman, Journal of Molecular Biology 1996 257 1112 1126 10.1006/jmbi.1996.0226 8632471
-
(1996)
Journal of Molecular Biology
, vol.257
, pp. 1112-1126
-
-
Gilis, D.1
Rooman, M.2
-
5
-
-
0036291145
-
Predicting changes in the stability of proteins and protein complexes: A study of more than 1000 mutations
-
10.1016/S0022-2836(02)00442-4. 12079393
-
Predicting changes in the stability of proteins and protein complexes: A study of more than 1000 mutations. R Guerois JE Nielsen L Serrano, Journal of Molecular Biology 2002 320 369 387 10.1016/S0022-2836(02)00442-4 12079393
-
(2002)
Journal of Molecular Biology
, vol.320
, pp. 369-387
-
-
Guerois, R.1
Nielsen, J.E.2
Serrano, L.3
-
6
-
-
0036948069
-
PoPMuSiC, rationally designing point mutations in protein structures
-
10.1093/bioinformatics/18.12.1701. 12490462
-
PoPMuSiC, rationally designing point mutations in protein structures. JM Kwasigroch D Gilis Y Dehouck M Rooman, Bioinformatics 2002 18 1701 1702 10.1093/bioinformatics/18.12.1701 12490462
-
(2002)
Bioinformatics
, vol.18
, pp. 1701-1702
-
-
Kwasigroch, J.M.1
Gilis, D.2
Dehouck, Y.3
Rooman, M.4
-
7
-
-
37749052245
-
Prediction of protein stability upon point mutations
-
10.1042/BST0351569. 18031268
-
Prediction of protein stability upon point mutations. MM Gromiha, Biochemical Society Transactions 2007 35 1569 1573 10.1042/BST0351569 18031268
-
(2007)
Biochemical Society Transactions
, vol.35
, pp. 1569-1573
-
-
Gromiha, M.M.1
-
8
-
-
0036838311
-
Distance-scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability prediction
-
10.1110/ps.0217002. 12381853
-
Distance-scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability prediction. H Zhou Y Zhou, Protein Science 2002 11 2714 2726 10.1110/ps.0217002 12381853
-
(2002)
Protein Science
, vol.11
, pp. 2714-2726
-
-
Zhou, H.1
Zhou, Y.2
-
9
-
-
11844281294
-
A neural-network-based method for predicting protein stability changes upon single point mutations
-
10.1093/bioinformatics/bth928. 15262782
-
A neural-network-based method for predicting protein stability changes upon single point mutations. E Capriotti P Fariselli R Casadio, Bioinformatics 2004 20 Supplement 1 63 i68 10.1093/bioinformatics/bth928 15262782
-
(2004)
Bioinformatics
, vol.20
, Issue.SUPPLEMENT 1
-
-
Capriotti, E.1
Fariselli, P.2
Casadio, R.3
-
10
-
-
36549064186
-
Accurate prediction of enzyme mutant activity based on a multibody statistical potential
-
10.1093/bioinformatics/btm509. 17977887
-
Accurate prediction of enzyme mutant activity based on a multibody statistical potential. M Masso II Vaisman, Bioinformatics 2007 23 3155 3161 10.1093/bioinformatics/btm509 17977887
-
(2007)
Bioinformatics
, vol.23
, pp. 3155-3161
-
-
Masso, M.1
Vaisman, I.I.2
-
11
-
-
51749110028
-
Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis
-
10.1093/bioinformatics/btn353. 18632749
-
Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis. M Masso II Vaisman, Bioinformatics 2008 24 2002 2009 10.1093/bioinformatics/btn353 18632749
-
(2008)
Bioinformatics
, vol.24
, pp. 2002-2009
-
-
Masso, M.1
Vaisman, I.I.2
-
12
-
-
39149125127
-
Enzyme optimization: Moving from blind evolution to statistical exploration of sequence-function space
-
10.1016/j.tibtech.2007.12.001. 18222559
-
Enzyme optimization: Moving from blind evolution to statistical exploration of sequence-function space. RJ Fox GW Huisman, Trends in Biotechnology 2008 26 132 138 10.1016/j.tibtech.2007.12.001 18222559
-
(2008)
Trends in Biotechnology
, vol.26
, pp. 132-138
-
-
Fox, R.J.1
Huisman, G.W.2
-
13
-
-
43349096923
-
A three-state prediction of single point mutations on protein stability changes
-
10.1186/1471-2105-9-S2-S6. 18387208
-
A three-state prediction of single point mutations on protein stability changes. E Capriotti P Fariselli I Rossi R Casadio, BMC Bioinformatics 2008 9 Suppl 2 6 10.1186/1471-2105-9-S2-S6 18387208
-
(2008)
BMC Bioinformatics
, vol.9
, Issue.SUPPL 2
, pp. 196
-
-
Capriotti, E.1
Fariselli, P.2
Rossi, I.3
Casadio, R.4
-
16
-
-
1542559402
-
Support vector machine applications in computational biology
-
Cambridge, MA: The MIT Press Schölkopf B, Tsuda K, Vert J
-
Support vector machine applications in computational biology. WS Noble, Kernel Methods in Computational Biology Cambridge, MA: The MIT Press, Schölkopf B, Tsuda K, Vert J, 2004 71 92
-
(2004)
Kernel Methods in Computational Biology
, pp. 71-92
-
-
Noble, W.S.1
-
17
-
-
33747880465
-
Ensemble classifier for protein fold pattern recognition
-
10.1093/bioinformatics/btl170. 16672258
-
Ensemble classifier for protein fold pattern recognition. HB Shen KC Chou, Bioinformatics 2006 22 1717 1722 10.1093/bioinformatics/btl170 16672258
-
(2006)
Bioinformatics
, vol.22
, pp. 1717-1722
-
-
Shen, H.B.1
Chou, K.C.2
-
18
-
-
0037248697
-
Predicting HIV drug resistance with neural networks
-
10.1093/bioinformatics/19.1.98. 12499299
-
Predicting HIV drug resistance with neural networks. S Drahici RB Potter, Bioinformatics 2003 19 98 107 10.1093/bioinformatics/19.1.98 12499299
-
(2003)
Bioinformatics
, vol.19
, pp. 98-107
-
-
Drahici, S.1
Potter, R.B.2
-
19
-
-
0033026514
-
Improved performance in protein secondary structure prediction by inhomogeneous score combination
-
10.1093/bioinformatics/15.5.413. 10366661
-
Improved performance in protein secondary structure prediction by inhomogeneous score combination. Y Guermeur C Geourjon P Gallinari G Deléage, Bioinformatics 1999 15 413 421 10.1093/bioinformatics/15.5.413 10366661
-
(1999)
Bioinformatics
, vol.15
, pp. 413-421
-
-
Guermeur, Y.1
Geourjon, C.2
Gallinari, P.3
Deléage, G.4
-
20
-
-
0034491055
-
Neural network schemes for detecting rare events in human genomic DNA
-
10.1093/bioinformatics/16.12.1062. 11159325
-
Neural network schemes for detecting rare events in human genomic DNA. W Choe OK Ersoy M Bina, Bioinformatics 2000 16 1062 1072 10.1093/bioinformatics/ 16.12.1062 11159325
-
(2000)
Bioinformatics
, vol.16
, pp. 1062-1072
-
-
Choe, W.1
Ersoy, O.K.2
Bina, M.3
-
21
-
-
0038391443
-
Bagging to improve the accuracy of a clustering procedure
-
10.1093/bioinformatics/btg038. 12801869
-
Bagging to improve the accuracy of a clustering procedure. S Dudoit J Fridlyand, Bioinformatics 2003 19 1090 1099 10.1093/bioinformatics/btg038 12801869
-
(2003)
Bioinformatics
, vol.19
, pp. 1090-1099
-
-
Dudoit, S.1
Fridlyand, J.2
-
22
-
-
3042618109
-
Bayesian network multi-classifiers for protein secondary structure prediction
-
DOI 10.1016/j.artmed.2004.01.009, PII S0933365704000326
-
Bayesian network multi-classifiers for protein secondary structure prediction. V Robles P Larrãaga J Pẽa E Menasalvas MS Pérez V Herves A Wasilewska, Artificial Intelligence in Medicine 2004 31 117 136 10.1016/j.artmed.2004.01.009 15219290 (Pubitemid 38823036)
-
(2004)
Artificial Intelligence in Medicine
, vol.31
, Issue.2
, pp. 117-136
-
-
Robles, V.1
Larranaga, P.2
Pena, J.M.3
Menasalvas, E.4
Perez, M.S.5
Herves, V.6
Wasilewska, A.7
-
23
-
-
0026771388
-
Hybrid system for protein secondary structure prediction
-
10.1016/0022-2836(92)90104-R. 1613789
-
Hybrid system for protein secondary structure prediction. X Zhang JP Mesirov DL Waltz, Journal of Molecular Biology 1992 225 1049 1063 10.1016/0022-2836(92)90104-R 1613789
-
(1992)
Journal of Molecular Biology
, vol.225
, pp. 1049-1063
-
-
Zhang, X.1
Mesirov, J.P.2
Waltz, D.L.3
-
24
-
-
0036173326
-
A Bayesian framework for combining gene predictions
-
10.1093/bioinformatics/18.1.19. 11836207
-
A Bayesian framework for combining gene predictions. V Pavlovi A Garg S Kasif, Bioinformatics 2002 18 19 27 10.1093/bioinformatics/18.1.19 11836207
-
(2002)
Bioinformatics
, vol.18
, pp. 19-27
-
-
Pavlovi, V.1
Garg, A.2
Kasif, S.3
-
25
-
-
0033933636
-
Cascaded multiple classifiers for secondary structure prediction
-
10.1110/ps.9.6.1162. 10892809
-
Cascaded multiple classifiers for secondary structure prediction. M Ouali RD King, Protein Science 2000 9 1162 1176 10.1110/ps.9.6.1162 10892809
-
(2000)
Protein Science
, vol.9
, pp. 1162-1176
-
-
Ouali, M.1
King, R.D.2
-
28
-
-
34447328438
-
Glycan classification with tree kernels
-
10.1093/bioinformatics/btm090. 17344232
-
Glycan classification with tree kernels. Y Yamanishi F Bach JP Vert, Bioinformatics 2007 23 1211 1216 10.1093/bioinformatics/btm090 17344232
-
(2007)
Bioinformatics
, vol.23
, pp. 1211-1216
-
-
Yamanishi, Y.1
Bach, F.2
Vert, J.P.3
-
30
-
-
0033976585
-
ProTherm, version 2.0: Thermodynamic database for proteins and mutants
-
10.1093/nar/28.1.283. 10592247
-
ProTherm, version 2.0: Thermodynamic database for proteins and mutants. MM Gromiha J An H Kono M Oobatake H Uedaira P Prabakaran A Sarai, Nucleic Acids Research 2000 28 283 285 10.1093/nar/28.1.283 10592247
-
(2000)
Nucleic Acids Research
, vol.28
, pp. 283-285
-
-
Gromiha, M.M.1
An, J.2
Kono, H.3
Oobatake, M.4
Uedaira, H.5
Prabakaran, P.6
Sarai, A.7
-
31
-
-
33751311798
-
Knowledge acquisition and development of accurate rules for predicting protein stability change
-
10.1016/j.compbiolchem.2006.06.004. 17000135
-
Knowledge acquisition and development of accurate rules for predicting protein stability change. L Huang MM Gromiha S Hwang S Ho, Computational Biology and Chemistry 2006 30 408 415 10.1016/j.compbiolchem.2006.06.004 17000135
-
(2006)
Computational Biology and Chemistry
, vol.30
, pp. 408-415
-
-
Huang, L.1
Gromiha, M.M.2
Hwang, S.3
Ho, S.4
-
39
-
-
14344252374
-
Multiple kernel learning, conic duality, and the SMO algorithm
-
Multiple kernel learning, conic duality, and the SMO algorithm. FR Bach GRG Lanckriet MI Jordan, Proceedings of the 21st International Conference on Machine learning, Banff 2004 41 48
-
(2004)
Proceedings of the 21st International Conference on Machine Learning, Banff
, pp. 41-48
-
-
Bach, F.R.1
Lanckriet, G.R.G.2
Jordan, M.I.3
-
41
-
-
27544469800
-
Predicting protein stability changes from sequences using support vector machines
-
Predicting protein stability changes from sequences using support vector machines. E Capriotti P Fariselli R Calabrese R Casadio, Bioinformatics 2005 21 Supplement 2 54 i58
-
(2005)
Bioinformatics
, vol.21
, Issue.SUPPLEMENT 2
-
-
Capriotti, E.1
Fariselli, P.2
Calabrese, R.3
Casadio, R.4
-
42
-
-
37349058879
-
Classification of conformational stability of protein mutants from 3D pseudo-folding graph representation of protein sequences using support vector machines
-
DOI 10.1002/prot.21524
-
Classification of conformational stability of protein mutants from 3D pseudo-folding graph representation of protein sequences using support vector machines. M Fernndez J Caballero L Fernndez JI Abreu G Acosta, Proteins: Structure, Function, and Bioinformatics 2008 70 167 175 10.1002/prot.21524 (Pubitemid 350293458)
-
(2008)
Proteins: Structure, Function and Genetics
, vol.70
, Issue.1
, pp. 167-175
-
-
Fernandez, M.1
Caballero, J.2
Fernandez, L.3
Abreu, J.I.4
Acosta, G.5
|