-
1
-
-
0003396310
-
Bioinformatics: The Machine Learning Approach
-
Cambridge, MA: MIT Press
-
P. Baldi and S. Brunak, Bioinformatics: The Machine Learning Approach. Cambridge, MA: MIT Press, 1998.
-
(1998)
-
-
Baldi, P.1
Brunak, S.2
-
2
-
-
0035521560
-
Challenges for intelligent systems in biology
-
Nov./Dec.
-
R. B. Altman, A. Valencia, S. Miyano, and S. Ranganathan, “Challenges for intelligent systems in biology,” IEEE Intell. Syst., vol. 16, no. 6, pp. 14–20, Nov./Dec. 2001.
-
(2001)
IEEE Intell. Syst.
, vol.16
, Issue.6
, pp. 14-20
-
-
Altman, R.B.1
Valencia, A.2
Miyano, S.3
Ranganathan, S.4
-
3
-
-
0003722376
-
Genetic Algorithms in Optimization, Search, and Machine Learning
-
Reading, MA: Addison-Wesley
-
D. Goldberg, Genetic Algorithms in Optimization, Search, and Machine Learning. Reading, MA: Addison-Wesley, 1989.
-
(1989)
-
-
Goldberg, D.1
-
4
-
-
0000782389
-
Genetic algorithm with elitist model and its convergence
-
D. Bhandari, C. A. Murthy, and S. K. Pal, “Genetic algorithm with elitist model and its convergence,” Int. J. Pattern Rcognit. Artif. Intell., vol. 10, no. 6, pp. 731–747, 1996.
-
(1996)
Int. J. Pattern Rcognit. Artif. Intell.
, vol.10
, Issue.6
, pp. 731-747
-
-
Bhandari, D.1
Murthy, C.A.2
Pal, S.K.3
-
5
-
-
0024735689
-
Classifier systems and genetic algorithms
-
L. B. Booker, D. E. Goldberg, and J. H. Holland, “Classifier systems and genetic algorithms,” Artif. Intell., vol. 40, no. 1–3, pp. 235–282, 1989.
-
(1989)
Artif. Intell.
, vol.40
, Issue.1-3
, pp. 235-282
-
-
Booker, L.B.1
Goldberg, D.E.2
Holland, J.H.3
-
7
-
-
84951507118
-
Genetic algorithms and machine learning
-
D. E. Goldberg and J. H. Holland, “Genetic algorithms and machine learning,” Mach. Learn., vol. 3, pp. 95–100, 1988.
-
(1988)
Mach. Learn.
, vol.3
, pp. 95-100
-
-
Goldberg, D.E.1
Holland, J.H.2
-
8
-
-
58049180144
-
Adaptation in Natural and Artificial Systems
-
Cambridge, MA: MIT Press
-
J. H. Holland, Adaptation in Natural and Artificial Systems. Cambridge, MA: MIT Press, 1992.
-
(1992)
-
-
Holland, J.H.1
-
9
-
-
0003915738
-
Handbook of Genetic Algorithm
-
New York: Van Nostrand Reinhold
-
L. Davis, Handbook of Genetic Algorithm. New York: Van Nostrand Reinhold, 1991.
-
(1991)
-
-
Davis, L.1
-
10
-
-
0004096390
-
Introduction to Computational Molecular Biology
-
Boston, MA: Thomson
-
J. Setubal and J. Meidanis, Introduction to Computational Molecular Biology. Boston, MA: Thomson, 1999.
-
(1999)
-
-
Setubal, J.1
Meidanis, J.2
-
12
-
-
0003283798
-
DNA computing implementing genetic algorithms
-
New York: Springer-Verlag
-
J. Chen, E. Antipov, B. Lemieux, W. Cedeno, and D. H. Wood, “DNA computing implementing genetic algorithms,” in Evolution as Computation, New York: Springer-Verlag, pp. 39–49, 1999.
-
(1999)
Evolution as Computation
, pp. 39-49
-
-
Chen, J.1
Antipov, E.2
Lemieux, B.3
Cedeno, W.4
Wood, D.H.5
-
13
-
-
0029387798
-
Genetic algorithms, operators, and DNA fragment assembly
-
R. J. Parsons, S. Forrest, and C. Burks, “Genetic algorithms, operators, and DNA fragment assembly,” Mach. Learn., vol. 21, no. 1–2, pp. 11–33, 1995.
-
(1995)
Mach. Learn.
, vol.21
, Issue.1-2
, pp. 11-33
-
-
Parsons, R.J.1
Forrest, S.2
Burks, C.3
-
16
-
-
0014757386
-
A general method applicable to the search for similarities in the amino acid sequence of two proteins
-
S. B. Needleman and C. D. Wunsch, “A general method applicable to the search for similarities in the amino acid sequence of two proteins,” J. Mol. Biol., vol. 48, pp. 443-453, 1970.
-
(1970)
J. Mol. Biol.
, vol.48
, pp. 443-453
-
-
Needleman, S.B.1
Wunsch, C.D.2
-
17
-
-
0019887799
-
Identification of common molecular sequences
-
T. F. Smith and M. S. Waterman, “Identification of common molecular sequences,” J. Mol. Biol., vol. 147, pp. 195–197, 1981.
-
(1981)
J. Mol. Biol.
, vol.147
, pp. 195-197
-
-
Smith, T.F.1
Waterman, M.S.2
-
18
-
-
0003533473
-
Simulated Annealing: A Review of Theory and Applications
-
Norwell, MA: Kluwer
-
E. Aart and V. P. Laarhoven, Simulated Annealing: A Review of Theory and Applications. Norwell, MA: Kluwer, 1987.
-
(1987)
-
-
Aart, E.1
Laarhoven, V.P.2
-
19
-
-
0027912333
-
Detecting subtle sequence signals: A Gibbs sampling strategy for multiple alignment
-
C. Lawrence, S. Altschul, M. Boguski, J. Liu, A. Neuwald, and J. Wootton, “Detecting subtle sequence signals: A Gibbs sampling strategy for multiple alignment,” Science, vol. 262, pp. 208–214, 1993.
-
(1993)
Science
, vol.262
, pp. 208-214
-
-
Lawrence, C.1
Altschul, S.2
Boguski, M.3
Liu, J.4
Neuwald, A.5
Wootton, J.6
-
20
-
-
0029872694
-
SAGA: Sequence alignment by genetic algorithm
-
C. Notredame and D. G. Higgins, “SAGA: Sequence alignment by genetic algorithm,” Nucleic Acids Res., vol. 24, no. 8, pp. 1515–1524, 1996.
-
(1996)
Nucleic Acids Res.
, vol.24
, Issue.8
, pp. 1515-1524
-
-
Notredame, C.1
Higgins, D.G.2
-
21
-
-
0031461056
-
A genetic algorithm for multiple molecular sequence alignment
-
C. Zhang and A. K. C. Wong, “A genetic algorithm for multiple molecular sequence alignment,” Bioinformatics, vol. 13, pp. 565–581, 1997.
-
(1997)
Bioinformatics
, vol.13
, pp. 565-581
-
-
Zhang, C.1
Wong, A.K.C.2
-
22
-
-
0002478891
-
Adapting operator probabilities in genetic algorithms
-
J. D. Schaffer, Ed.
-
L. Davis, “Adapting operator probabilities in genetic algorithms,” in Proc. 3rd Int. Conf. Genetic Algorithms, J. D. Schaffer, Ed., 1989, pp. 61–69.
-
(1989)
Proc. 3rd Int. Conf. Genetic Algorithms
, pp. 61-69
-
-
Davis, L.1
-
23
-
-
33947132935
-
A web server for multiple sequence alignment using genetic algorithm
-
T. Yokoyama, T. Watanabe, A. Taneda, and T. Shimizu, “A web server for multiple sequence alignment using genetic algorithm,” Genome Inf., vol. 12, pp. 382-383,2001.
-
(2001)
Genome Inf.
, vol.12
, pp. 382-383
-
-
Yokoyama, T.1
Watanabe, T.2
Taneda, A.3
Shimizu, T.4
-
24
-
-
2942619012
-
3DCoffee: Combining protein sequences and structures within multiple sequence alignments
-
O. O'sullivan, K. Suhre, C. Abergel, D. G. Higgins, and C. Notredame, “3DCoffee: Combining protein sequences and structures within multiple sequence alignments,” J. Mol. Biol., vol. 340, no. 2, pp. 385–395, 2004.
-
(2004)
J. Mol. Biol.
, vol.340
, Issue.2
, pp. 385-395
-
-
O'sullivan, O.1
Suhre, K.2
Abergel, C.3
Higgins, D.G.4
Notredame, C.5
-
25
-
-
0030813152
-
RAGA: RNA sequence alignment by genetic algorithm
-
C. Notredame, E. A. O’Brien, and D. G. Higgins, “RAGA: RNA sequence alignment by genetic algorithm,” Nucleic Acids Res., vol. 25, no. 22, pp.4570-4580, 1997.
-
(1997)
Nucleic Acids Res.
, vol.25
, Issue.22
, pp. 4570-4580
-
-
Notredame, C.1
O’Brien, E.A.2
Higgins, D.G.3
-
26
-
-
0027968068
-
CLUSTAL W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice
-
J. D. Thompson, D. G. Higgins, and T. J. Gibson, “CLUSTAL W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice,” Nucleic Acids Res., vol. 22, pp. 4673-4680, 1994.
-
(1994)
Nucleic Acids Res.
, vol.22
, pp. 4673-4680
-
-
Thompson, J.D.1
Higgins, D.G.2
Gibson, T.J.3
-
27
-
-
0032312925
-
A technique of genetic algorithm and sequence synthesis for multiple molecular sequence alignment
-
C. Zhang and A. K. C. Wong, “A technique of genetic algorithm and sequence synthesis for multiple molecular sequence alignment,” in Proc. IEEE Int. Conf. Syst. Man, and Cybernetics, vol. 3, 1998, pp. 2442–2447.
-
(1998)
Proc. IEEE Int. Conf. Syst. Man, and Cybernetics
, vol.3
, pp. 2442-2447
-
-
Zhang, C.1
Wong, A.K.C.2
-
28
-
-
0031357475
-
Toward efficient multiple molecular sequence alignment: A system of genetic algorithm and dynamic programming
-
Dec.
-
C. Zhang and A. K. C. Wong, “Toward efficient multiple molecular sequence alignment: A system of genetic algorithm and dynamic programming,” IEEE Trans. Syst. Man, Cybern. B, vol. 27, no. 6, pp. 918–932, Dec. 1997.
-
(1997)
IEEE Trans. Syst. Man, Cybern. B
, vol.27
, Issue.6
, pp. 918-932
-
-
Zhang, C.1
Wong, A.K.C.2
-
29
-
-
0029702786
-
Positive and negative combination effects of crossover and mutation operators in sequencing problems
-
T. Murata and H. Ishibuchi, “Positive and negative combination effects of crossover and mutation operators in sequencing problems,” Evol. Comput., vol. 20–22, pp. 170–175, 1996.
-
(1996)
Evol. Comput.
, vol.20-22
, pp. 170-175
-
-
Murata, T.1
Ishibuchi, H.2
-
30
-
-
0028751766
-
A genetic algorithm for molecular sequence comparison
-
C. Zhang, “A genetic algorithm for molecular sequence comparison,” in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, vol. 2, 1994, pp. 1926–1931.
-
(1994)
Proc. IEEE Int. Conf. Systems, Man, and Cybernetics
, vol.2
, pp. 1926-1931
-
-
Zhang, C.1
-
31
-
-
0033997724
-
Protein structure alignment using a genetic algorithm
-
J. D. Szustakowski and Z. Weng, “Protein structure alignment using a genetic algorithm,” Proteins, vol. 38, no. 4, pp. 428–440, 2000.
-
(2000)
Proteins
, vol.38
, Issue.4
, pp. 428-440
-
-
Szustakowski, J.D.1
Weng, Z.2
-
32
-
-
1842717540
-
Multiple sequence alignment by genetic algorithm
-
K. Hanada, T. Yokoyama, and T. Shimizu, “Multiple sequence alignment by genetic algorithm,” Genome Inf., vol. 11, pp. 317–318, 2000.
-
(2000)
Genome Inf.
, vol.11
, pp. 317-318
-
-
Hanada, K.1
Yokoyama, T.2
Shimizu, T.3
-
33
-
-
0041028968
-
Multiple molecular sequence alignment by island parallel genetic algorithm
-
L. A. Anbarasu, P. Narayanasamy, and V. Sundararajan, “Multiple molecular sequence alignment by island parallel genetic algorithm,” Current Sci., vol. 78, no. 7, pp. 858–863, 2000.
-
(2000)
Current Sci.
, vol.78
, Issue.7
, pp. 858-863
-
-
Anbarasu, L.A.1
Narayanasamy, P.2
Sundararajan, V.3
-
34
-
-
60449107721
-
A parallel hybrid genetic algorithm for multiple protein sequence alignment
-
H. D. Nguyen, I. Yoshihara, K. Yamamori, and M. Yasunaga, “A parallel hybrid genetic algorithm for multiple protein sequence alignment,” in Proc. Congress Evolutionary Computation, vol. 1, 2002, pp. 309–314.
-
(2002)
Proc. Congress Evolutionary Computation
, vol.1
, pp. 309-314
-
-
Nguyen, H.D.1
Yoshihara, I.2
Yamamori, K.3
Yasunaga, M.4
-
36
-
-
0028595207
-
Genetic algorithms and simulated annealing for gene mapping
-
J. Gunnels, P. Cull, and J. L. Holloway, “Genetic algorithms and simulated annealing for gene mapping,” in Proc. 1st IEEE Conf. Evolutionary Computation, 1994, pp. 385–390.
-
(1994)
Proc. 1st IEEE Conf. Evolutionary Computation
, pp. 385-390
-
-
Gunnels, J.1
Cull, P.2
Holloway, J.L.3
-
37
-
-
84901465189
-
A coevolutionary approach to adapt the genotype-phenotype map in genetic algorithms
-
H. Murao, H. Tamaki, and S. Kitamura, “A coevolutionary approach to adapt the genotype-phenotype map in genetic algorithms,” in Proc. Congress Evolutionary Computation, vol. 2, 2002, pp. 1612–1617.
-
(2002)
Proc. Congress Evolutionary Computation
, vol.2
, pp. 1612-1617
-
-
Murao, H.1
Tamaki, H.2
Kitamura, S.3
-
38
-
-
0012903172
-
A genetic algorithm for assembling chromosome physical maps
-
J. Fickett and M. Cinkosky, “A genetic algorithm for assembling chromosome physical maps,” in Proc. 2nd Int. Conf. Bioinformatics, Supercomputing, and Complex Genome Analysis, 1993, pp. 272–285.
-
(1993)
Proc. 2nd Int. Conf. Bioinformatics, Supercomputing, and Complex Genome Analysis
, pp. 272-285
-
-
Fickett, J.1
Cinkosky, M.2
-
39
-
-
0030218799
-
Finding genes by computer: The state of the art
-
J. W. Fickett, “Finding genes by computer: The state of the art,” Trends Genetics, vol. 12, no. 8, pp. 316–320, 1996.
-
(1996)
Trends Genetics
, vol.12
, Issue.8
, pp. 316-320
-
-
Fickett, J.W.1
-
40
-
-
0031856714
-
A genetic algorithm for designing gene family-specific oligonucleotide sets used for hybridization: The G protein-coupled receptor protein superfamily
-
A. Kel, A. Ptitsyn, V. Babenko, S. Meier-Ewert, and H. Lehrach, “A genetic algorithm for designing gene family-specific oligonucleotide sets used for hybridization: The G protein-coupled receptor protein superfamily,” Bioinformatics, vol. 14, no. 3, pp. 259–270, 1998.
-
(1998)
Bioinformatics
, vol.14
, Issue.3
, pp. 259-270
-
-
Kel, A.1
Ptitsyn, A.2
Babenko, V.3
Meier-Ewert, S.4
Lehrach, H.5
-
41
-
-
0042889134
-
Recognition of eukaryotic promoters using a genetic algorithm based on iterative discriminant analysis
-
V. G. Levitsky and A. V. Katokhin, “Recognition of eukaryotic promoters using a genetic algorithm based on iterative discriminant analysis,” In Silico Biol., vol. 3, no. 1–2, pp. 81–87, 2003.
-
(2003)
In Silico Biol.
, vol.3
, Issue.1-2
, pp. 81-87
-
-
Levitsky, V.G.1
Katokhin, A.V.2
-
42
-
-
0033025047
-
Promoter2.0: For the recognition of PolII promoter sequences
-
S. Knudsen, “Promoter2.0: For the recognition of PolII promoter sequences,” Bioinformatics, vol. 15, pp. 356–361, 1999.
-
(1999)
Bioinformatics
, vol.15
, pp. 356-361
-
-
Knudsen, S.1
-
43
-
-
0013330878
-
What is bioinformatics? A proposed definition and overview of the field
-
AB, Canada: IMIA
-
N. M. Luscombe, D. Greenbaum, and M. Gerstein, “What is bioinformatics? A proposed definition and overview of the field,” in Yearbook Medical Informatics: Edmonton, AB, Canada: IMIA, 2001, pp. 83–100.
-
(2001)
Yearbook Medical Informatics: Edmonton
, pp. 83-100
-
-
Luscombe, N.M.1
Greenbaum, D.2
Gerstein, M.3
-
44
-
-
0035375137
-
Computational analysis of microarray data
-
J. Quackenbush, “Computational analysis of microarray data,” Nat. Rev. Genetics, vol. 2, pp. 418-427, 2001.
-
(2001)
Nat. Rev. Genetics
, vol.2
, pp. 418-427
-
-
Quackenbush, J.1
-
45
-
-
0345407797
-
Applying genetic algorithms to finding the optimal order in displaying the microarray data
-
H. K. Tsai, J. M. Yang, and C. Y. Kao, “Applying genetic algorithms to finding the optimal order in displaying the microarray data,” in Proc. GECCO, 2002, pp. 610–617.
-
(2002)
Proc. GECCO
, pp. 610-617
-
-
Tsai, H.K.1
Yang, J.M.2
Kao, C.Y.3
-
46
-
-
3042631031
-
An evolutionary approach for gene expression patterns
-
Jun.
-
H. K. Tsai, J. M. Yang, Y. F. Tsai, and C. Y. Kao, “An evolutionary approach for gene expression patterns,” IEEE Trans. Inf. Technol. Biomed., vol. 8, no. 2, pp. 69–78, Jun. 2004.
-
(2004)
IEEE Trans. Inf. Technol. Biomed.
, vol.8
, Issue.2
, pp. 69-78
-
-
Tsai, H.K.1
Yang, J.M.2
Tsai, Y.F.3
Kao, C.Y.4
-
47
-
-
0037935423
-
The proportional genetic algorithm: Gene expression in a genetic algorithm
-
A. S. Wu and I. Garibay, “The proportional genetic algorithm: Gene expression in a genetic algorithm,” Genetic Programm. Evol. Hardware, vol. 3, no. 2, pp. 157–192, 2002.
-
(2002)
Genetic Programm. Evol. Hardware
, vol.3
, Issue.2
, pp. 157-192
-
-
Wu, A.S.1
Garibay, I.2
-
48
-
-
0032616683
-
Identification of genetic networks from a small number of gene expression patterns under the boolean network model
-
T. Akutsu, S. Miyano, and S. Kuhara, “Identification of genetic networks from a small number of gene expression patterns under the boolean network model,” in Proc. Pacific Symp. Biocomputing, vol. 99, 1999, pp. 17–28.
-
(1999)
Proc. Pacific Symp. Biocomputing
, vol.99
, pp. 17-28
-
-
Akutsu, T.1
Miyano, S.2
Kuhara, S.3
-
49
-
-
0034869717
-
Inference of gene regulatory model by genetic algorithms
-
S. Ando and H. Iba, “Inference of gene regulatory model by genetic algorithms,” in Proc. Congress Evolutionary Computation, vol. 1, 2001, pp. 712–719.
-
(2001)
Proc. Congress Evolutionary Computation
, vol.1
, pp. 712-719
-
-
Ando, S.1
Iba, H.2
-
50
-
-
0031582763
-
Trans gene regulation in adaptive evolution: A genetic algorithm model
-
N. Behera and V. Nanjundiah, “Trans gene regulation in adaptive evolution: A genetic algorithm model,”J. Theore. Biol., vol. 188, pp. 153–162, 1997.
-
(1997)
J. Theore. Biol.
, vol.188
, pp. 153-162
-
-
Behera, N.1
Nanjundiah, V.2
-
51
-
-
0003329394
-
Quantitative modeling of gene regulatory network-identifying the network by means of genetic algorithms
-
presented at the
-
S. Ando and H. Iba, “Quantitative modeling of gene regulatory network-identifying the network by means of genetic algorithms,” presented at the 11th Genome Informatics Workshop, 2000.
-
(2000)
11th Genome Informatics Workshop
-
-
Ando, S.1
Iba, H.2
-
53
-
-
4344703653
-
Non-linear numerical optimization technique based on a genetic algorithm for inverse problems: Towards the inference of genetic networks
-
D. Tominaga, M. Okamoto, Y. Maki, S. Watanabe, and Y. Eguchi, “Non-linear numerical optimization technique based on a genetic algorithm for inverse problems: Towards the inference of genetic networks,” Comput. Science and Biology (Proc. German Conf. Bioinformatics), 1999, pp. 127-140.
-
(1999)
Comput. Science and Biology (Proc. German Conf. Bioinformatics)
, pp. 127-140
-
-
Tominaga, D.1
Okamoto, M.2
Maki, Y.3
Watanabe, S.4
Eguchi, Y.5
-
54
-
-
0031892789
-
A genetic algorithm for maximum likelihood phylogeny inference using nucleotide sequence data
-
P. O. Lewis, “A genetic algorithm for maximum likelihood phylogeny inference using nucleotide sequence data,” Mol. Biol. Evol., vol. 15, no. 3, pp. 277–283, 1998.
-
(1998)
Mol. Biol. Evol.
, vol.15
, Issue.3
, pp. 277-283
-
-
Lewis, P.O.1
-
55
-
-
0036679128
-
The metapopulation genetic algorithm: An efficient solution for the problem of large phylogeny estimation
-
A. R. Lemmon and M. C. Milinkovitch, “The metapopulation genetic algorithm: An efficient solution for the problem of large phylogeny estimation,” Proc. Nat. Acad. Sci., vol. 99, no. 16, pp. 10516–10521, 2002.
-
(2002)
Proc. Nat. Acad. Sci.
, vol.99
, Issue.16
, pp. 10516-10521
-
-
Lemmon, A.R.1
Milinkovitch, M.C.2
-
56
-
-
0034819230
-
Genetic algorithm-based maximum-likelihood analysis for molecular phylogeny
-
K. Katoh, K. Kuma, and T. Miyata, “Genetic algorithm-based maximum-likelihood analysis for molecular phylogeny,”J. Mol. Evol., vol. 53, no. 4–5, pp. 477–484, 2001.
-
(2001)
J. Mol. Evol.
, vol.53
, Issue.4-5
, pp. 477-484
-
-
Katoh, K.1
Kuma, K.2
Miyata, T.3
-
57
-
-
0030309199
-
Protein phylogenetic inference using maximum likelihood with a genetic algorithm
-
H. Matsuda, “Protein phylogenetic inference using maximum likelihood with a genetic algorithm,” Pacific Symp. Biocomputing, 1996, pp. 512—523.
-
(1996)
Pacific Symp. Biocomputing
, pp. 512-523
-
-
Matsuda, H.1
-
59
-
-
0033639086
-
Sequence analysis by additive scales: DNA structure for sequences and repeats of all lengths
-
P. Baldi and P. F. Baisnee, “Sequence analysis by additive scales: DNA structure for sequences and repeats of all lengths,” Bioinformatics, vol. 16, pp.865-889, 2000.
-
(2000)
Bioinformatics
, vol.16
, pp. 865-889
-
-
Baldi, P.1
Baisnee, P.F.2
-
60
-
-
0033869101
-
A theoretical model for the prediction of sequence-dependent nucleosome thermodynamic stability
-
C. Anselmi, G. Bocchinfuso, P. De Santis, M. Savino, and A. Scipioni, “A theoretical model for the prediction of sequence-dependent nucleosome thermodynamic stability,” J. Biophys., vol. 79, no. 2, pp. 601–613, 2000.
-
(2000)
J. Biophys.
, vol.79
, Issue.2
, pp. 601-613
-
-
Anselmi, C.1
Bocchinfuso, G.2
De Santis, P.3
Savino, M.4
Scipioni, A.5
-
61
-
-
84989761699
-
Theory of Elasticity
-
New York: Pergamon
-
L. D. Landau and E. M. Lifshitz, Theory of Elasticity. New York: Pergamon, 1970.
-
(1970)
-
-
Landau, L.D.1
Lifshitz, E.M.2
-
62
-
-
0030636935
-
Application of a genetic algorithm in the conformational analysis of methylene-acetal-linked thymine dimers in DNA: Comparison with distance geometry calculations
-
M. L. Beckers, L. M. Buydens, J. A. Pikkemaat, and C. Altona, “Application of a genetic algorithm in the conformational analysis of methylene-acetal-linked thymine dimers in DNA: Comparison with distance geometry calculations,” J. Biomol. NMR, vol. 9, no. 1, pp. 25–34, 1997.
-
(1997)
J. Biomol. NMR
, vol.9
, Issue.1
, pp. 25-34
-
-
Beckers, M.L.1
Buydens, L.M.2
Pikkemaat, J.A.3
Altona, C.4
-
63
-
-
0033976498
-
Optimum DNA curvature using a hybrid approach involving an artificial neural network and genetic algorithm
-
R. V. Parbhane, S. Unniraman, S. S. Tambe, V. Nagaraja, and B. D. Kulkarni, “Optimum DNA curvature using a hybrid approach involving an artificial neural network and genetic algorithm,” J. Biomol. Struct. Dyn., vol. 17, no. 4, pp. 665–672, 2000.
-
(2000)
J. Biomol. Struct. Dyn.
, vol.17
, Issue.4
, pp. 665-672
-
-
Parbhane, R.V.1
Unniraman, S.2
Tambe, S.S.3
Nagaraja, V.4
Kulkarni, B.D.5
-
64
-
-
0025315854
-
Prediction of RNA secondary structure including pseudoknotting by computer simulation
-
J. P. Adrahams and M. Breg, “Prediction of RNA secondary structure including pseudoknotting by computer simulation,” Nucleic Acids Res., vol. 18, pp. 3035–3044, 1990.
-
(1990)
Nucleic Acids Res.
, vol.18
, pp. 3035-3044
-
-
Adrahams, J.P.1
Breg, M.2
-
65
-
-
33947154096
-
RNA structure prediction
-
San Diego, CA: Academic
-
M. Waterman, “RNA structure prediction,” in Methods in Enzymology. San Diego, CA: Academic, vol. 164, 1988.
-
(1988)
Methods in Enzymology.
, vol.164
-
-
Waterman, M.1
-
66
-
-
0019876473
-
Optimal computer folding of large RNA sequences using thermo-dynamics and auxiliary information
-
M. Zuker and P. Stiegler, “Optimal computer folding of large RNA sequences using thermo-dynamics and auxiliary information,” Nucleic Acids Res.,vol. 9, pp. 133–148, 1981.
-
(1981)
Nucleic Acids Res.
, vol.9
, pp. 133-148
-
-
Zuker, M.1
Stiegler, P.2
-
67
-
-
0029025720
-
An APL-programmed genetic algorithm for the prediction of RNA secondary structure
-
V. Batenburg, A. P. Gultyaev, and C. W. A. Pleij, “An APL-programmed genetic algorithm for the prediction of RNA secondary structure,” J. Theoret. Biol., vol. 174, no. 3, pp. 269–280, 1995.
-
(1995)
J. Theoret. Biol.
, vol.174
, Issue.3
, pp. 269-280
-
-
Batenburg, V.1
Gultyaev, A.P.2
Pleij, C.W.A.3
-
68
-
-
0029061125
-
The computer simulation of RNA folding pathways using an genetic algorithm
-
A. P. Gultyaev, V. Batenburg, and C. W. A. Pleij, “The computer simulation of RNA folding pathways using an genetic algorithm,” J. Mol. Biol., vol. 250, pp. 37–51, 1995.
-
(1995)
J. Mol. Biol.
, vol.250
, pp. 37-51
-
-
Gultyaev, A.P.1
Batenburg, V.2
Pleij, C.W.A.3
-
69
-
-
0345293275
-
A permutation-based genetic algorithm for the RNA folding problem: A critical look at selection strategies, crossover operators, and representation issues
-
K. C. Wiese and E. Glen, “A permutation-based genetic algorithm for the RNA folding problem: A critical look at selection strategies, crossover operators, and representation issues,” Biosystems, vol. 72, no. 1–2, pp. 29-41,2003.
-
(2003)
Biosystems
, vol.72
, Issue.1-2
, pp. 29-41
-
-
Wiese, K.C.1
Glen, E.2
-
70
-
-
0028547954
-
A massively parallel genetic algorithm for RNA secondary structure prediction
-
B. A. Shapiro and J. Navetta, “A massively parallel genetic algorithm for RNA secondary structure prediction,” J. Supercomput., vol. 8, pp. 195-207, 1994.
-
(1994)
J. Supercomput.
, vol.8
, pp. 195-207
-
-
Shapiro, B.A.1
Navetta, J.2
-
71
-
-
0029966818
-
An annealing mutation operator in the genetic algorithms for RNA folding
-
B. A. Shapiro and J. C. Wu, “An annealing mutation operator in the genetic algorithms for RNA folding,” Comput. Appl. Biosci., vol. 12, pp. 171–180, 1996.
-
(1996)
Comput. Appl. Biosci.
, vol.12
, pp. 171-180
-
-
Shapiro, B.A.1
Wu, J.C.2
-
72
-
-
0035105948
-
The massively parallel genetic algorithm for RNA folding: MIMD implementation and population variation
-
B. A. Shapiro, J. C. Wu, D. Bengali, and M. J. Potts, “The massively parallel genetic algorithm for RNA folding: MIMD implementation and population variation,” Bioinformatics, vol. 17, no. 2, pp. 137–148, 2001.
-
(2001)
Bioinformatics
, vol.17
, Issue.2
, pp. 137-148
-
-
Shapiro, B.A.1
Wu, J.C.2
Bengali, D.3
Potts, M.J.4
-
73
-
-
0018110116
-
Prediction of the secondary structure of proteins from their amino acid sequence
-
P. Chou and G. Fasmann, “Prediction of the secondary structure of proteins from their amino acid sequence,” Adv. Enzymol., vol. 47, pp. 145–148, 1978.
-
(1978)
Adv. Enzymol.
, vol.47
, pp. 145-148
-
-
Chou, P.1
Fasmann, G.2
-
74
-
-
0029984070
-
Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments
-
S. K. Riis and A. Krogh, “Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments,” J. Comput. Biol., vol. 3, pp. 163–183, 1996.
-
(1996)
J. Comput. Biol.
, vol.3
, pp. 163-183
-
-
Riis, S.K.1
Krogh, A.2
-
75
-
-
0023803244
-
Predicting the secondary structure of globular proteins using neural network models
-
N. Qian and T. J. Sejnowski, “Predicting the secondary structure of globular proteins using neural network models,” J. Mol. Biol., vol. 202, no. 4, pp. 865–884, 1988.
-
(1988)
J. Mol. Biol.
, vol.202
, Issue.4
, pp. 865-884
-
-
Qian, N.1
Sejnowski, T.J.2
-
76
-
-
0028965118
-
Prediction of protein secondary structure by combining nearest-neighbor algorithms and multiple sequence alignments
-
A. Salamov and V. Solovyev, “Prediction of protein secondary structure by combining nearest-neighbor algorithms and multiple sequence alignments,” J. Mol. Biol, vol. 247, pp. 11–15, 1995.
-
(1995)
J. Mol. Biol
, vol.247
, pp. 11-15
-
-
Salamov, A.1
Solovyev, V.2
-
77
-
-
0026674246
-
Predicting protein secondary structure with a nearest-neighbor algorithm
-
S. Salzberg and S. Cost, “Predicting protein secondary structure with a nearest-neighbor algorithm,” J. Mol. Biol, vol. 227, pp. 371–374, 1992.
-
(1992)
J. Mol. Biol
, vol.227
, pp. 371-374
-
-
Salzberg, S.1
Cost, S.2
-
78
-
-
0029884694
-
GOR method for predicting protein secondary structure from amino acid sequence
-
J. Gamier, J. F. Gibrat, and B. Robson, “GOR method for predicting protein secondary structure from amino acid sequence,” in Methods in Enzymology, vol. 266, 1996, pp. 540–553.
-
(1996)
Methods in Enzymology
, vol.266
, pp. 540-553
-
-
Gamier, J.1
Gibrat, J.F.2
Robson, B.3
-
79
-
-
85063472174
-
On the applicability of genetic algorithms to protein folding
-
R. Unger and J. Moult, “On the applicability of genetic algorithms to protein folding,” in Proc. Hawaii Int. Conf. System Sciences, vol. 1, 1993, pp. 715–725.
-
(1993)
Proc. Hawaii Int. Conf. System Sciences
, vol.1
, pp. 715-725
-
-
Unger, R.1
Moult, J.2
-
80
-
-
0027245418
-
Genetic algorithms for protein folding simulations
-
R. Unger and J. Moult, “Genetic algorithms for protein folding simulations,” J. Mol. Biol, vol. 231, no. 1, pp. 75–81, 1993.
-
(1993)
J. Mol. Biol
, vol.231
, Issue.1
, pp. 75-81
-
-
Unger, R.1
Moult, J.2
-
81
-
-
1642289227
-
A genetic algorithms for three dimensional protein folding simulations
-
R. Unger and J. Moult, “A genetic algorithms for three dimensional protein folding simulations,” in Int. Conf. Genetic Algorithms, 1993, pp. 581–588.
-
(1993)
Int. Conf. Genetic Algorithms
, pp. 581-588
-
-
Unger, R.1
Moult, J.2
-
82
-
-
0011484346
-
A standard GA approach to native protein conformation prediction
-
A. Patton, E. Goldman, “A standard GA approach to native protein conformation prediction,” in Proc. Int. Conf. Genetic Algorithms, 1995, pp. 574–581.
-
(1995)
Proc. Int. Conf. Genetic Algorithms
, pp. 574-581
-
-
Patton, A.1
Goldman, E.2
-
83
-
-
0003969258
-
Protein structure prediction with evolutionary algorithms
-
N. Krasnogor, W. E. Hart, J. Smith, and D. A. Pelta, “Protein structure prediction with evolutionary algorithms,” in Proc. Genetic and Evolutionary Computation, vol. 2, 1999, pp. 1596–1601.
-
(1999)
Proc. Genetic and Evolutionary Computation
, vol.2
, pp. 1596-1601
-
-
Krasnogor, N.1
Hart, W.E.2
Smith, J.3
Pelta, D.A.4
-
84
-
-
0009697032
-
Genetic algorithms for the protein folding problem: A critical view
-
N. Krasnogor, D. Pelta, P. M. Lopez, P. Mocciola, and E. Canal, “Genetic algorithms for the protein folding problem: A critical view,” in Proc. Engineering Intelligent Systems, 1998
-
(1998)
Proc. Engineering Intelligent Systems
-
-
Krasnogor, N.1
Pelta, D.2
Lopez, P.M.3
Mocciola, P.4
Canal, E.5
-
85
-
-
0344513150
-
Use of a novel hill-climbing genetic algorithm in protein folding simulations
-
L. Cooper, D. Corne, and M. Crabbe, “Use of a novel hill-climbing genetic algorithm in protein folding simulations,” Comput. Biol. Chem., vol. 27, no. 6, pp. 575–580, 2003.
-
(2003)
Comput. Biol. Chem.
, vol.27
, Issue.6
, pp. 575-580
-
-
Cooper, L.1
Corne, D.2
Crabbe, M.3
-
86
-
-
15344339503
-
An efficient technique for superfamily classification of amino acid sequences: Feature extraction, fuzzy clustering and prototype selection
-
S. Bandyopadhyay, “An efficient technique for superfamily classification of amino acid sequences: Feature extraction, fuzzy clustering and prototype selection,” Fuzzy Sets Syst., vol. 152, pp. 5–16, 2005.
-
(2005)
Fuzzy Sets Syst.
, vol.152
, pp. 5-16
-
-
Bandyopadhyay, S.1
-
87
-
-
8844278616
-
Fuzzy partitioning using real coded variable length genetic algorithm for pixel cassification
-
May
-
U. Maulik and S. Bandyopadhyay, “Fuzzy partitioning using real coded variable length genetic algorithm for pixel cassification,” IEEE Trans. Geosci. Remote Sens., vol. 41, no. 5, pp. 1075–1081, May 2003.
-
(2003)
IEEE Trans. Geosci. Remote Sens.
, vol.41
, Issue.5
, pp. 1075-1081
-
-
Maulik, U.1
Bandyopadhyay, S.2
-
88
-
-
0028579103
-
Incremental prediction of the side-chain conformation of proteins by a genetic algorithm
-
H. Iijima and Y. Naito, “Incremental prediction of the side-chain conformation of proteins by a genetic algorithm,” in Proc. IEEE Conf. Evolutionary Computation, vol. 1, 1994, pp. 362–367.
-
(1994)
Proc. IEEE Conf. Evolutionary Computation
, vol.1
, pp. 362-367
-
-
Iijima, H.1
Naito, Y.2
-
89
-
-
4544258523
-
Global optimization of protein 3-dimensional structures in NMR by a genetic algorithm
-
I. Ono, H. Fujiki, M. Ootsuka, N. Nakashima, N. Ono, and S. Tate, “Global optimization of protein 3-dimensional structures in NMR by a genetic algorithm,” in Proc. Congress Evolutionary Computation, vol. 1, 2002, pp. 303–308.
-
(2002)
Proc. Congress Evolutionary Computation
, vol.1
, pp. 303-308
-
-
Ono, I.1
Fujiki, H.2
Ootsuka, M.3
Nakashima, N.4
Ono, N.5
Tate, S.6
-
90
-
-
0242299188
-
Novel use of a genetic algorithm for protein structure prediction: Searching template and sequence alignment space
-
B. Contreras-Moreira, P. W. Fitzjohn, M. Offman, G. R. Smith, and P. A. Bates, “Novel use of a genetic algorithm for protein structure prediction: Searching template and sequence alignment space,” Proteins, vol. 53, no. 6, pp. 424-429, 2003.
-
(2003)
Proteins
, vol.53
, Issue.6
, pp. 424-429
-
-
Contreras-Moreira, B.1
Fitzjohn, P.W.2
Offman, M.3
Smith, G.R.4
Bates, P.A.5
-
91
-
-
0030873058
-
Probing Flp: A new approach to analyze the structure of a DNA recognizing protein by combining the genetic algorithm, mutagenesis and non-canonical DNA target sites
-
P. Saxena, I. Whang, Y. Voziyanov, C. Harkey, P. Argos, M. Jayaram, and T. Dandekar, “Probing Flp: A new approach to analyze the structure of a DNA recognizing protein by combining the genetic algorithm, mutagenesis and non-canonical DNA target sites,” Biochem. Biophys. Acta., vol. 1340, no. 2, pp. 187–204, 1997.
-
(1997)
Biochem. Biophys. Acta.
, vol.1340
, Issue.2
, pp. 187-204
-
-
Saxena, P.1
Whang, I.2
Voziyanov, Y.3
Harkey, C.4
Argos, P.5
Jayaram, M.6
Dandekar, T.7
-
92
-
-
0031556019
-
Protein folding simulations with genetic algorithms and a detailed molecular description
-
J. T. Pedersen and J. Moult, “Protein folding simulations with genetic algorithms and a detailed molecular description,” J. Mol. Biol., vol. 269, no. 2, pp. 240–259, 1997.
-
(1997)
J. Mol. Biol.
, vol.269
, Issue.2
, pp. 240-259
-
-
Pedersen, J.T.1
Moult, J.2
-
93
-
-
0005864682
-
Protein structure prediction as a hard optimization problem: The genetic algorithm approach
-
M. Khimasia and P. Coveney, “Protein structure prediction as a hard optimization problem: The genetic algorithm approach,” Mol. Simul., vol. 19, pp.205-226, 1997.
-
(1997)
Mol. Simul.
, vol.19
, pp. 205-226
-
-
Khimasia, M.1
Coveney, P.2
-
94
-
-
0142045029
-
Improving genetic algorithms for protein folding simulations by systematic crossover
-
R. Konig and T. Dandekar, “Improving genetic algorithms for protein folding simulations by systematic crossover,” BioSystems, vol. 50, pp. 17-25,1999.
-
(1999)
BioSystems
, vol.50
, pp. 17-25
-
-
Konig, R.1
Dandekar, T.2
-
95
-
-
0000223085
-
A parallel genetic algorithm for polypeptide three dimensional structure prediction: A transputer implementation
-
C. A. Del Carpio, “A parallel genetic algorithm for polypeptide three dimensional structure prediction: A transputer implementation,” J. Chem. Inf. Comput. Sci., vol. 36, no. 2, pp. 258–269, 1996.
-
(1996)
J. Chem. Inf. Comput. Sci.
, vol.36
, Issue.2
, pp. 258-269
-
-
Del Carpio, C.A.1
-
96
-
-
0029786785
-
Improved genetic algorithm for the protein folding problem by use of a cartesian combination operator
-
Rabow and H. A. Scheraga, “Improved genetic algorithm for the protein folding problem by use of a cartesian combination operator,” Protein Sci., vol. 5, pp. 1800–1815, 1996.
-
(1996)
Protein Sci.
, vol.5
, pp. 1800-1815
-
-
Rabow1
Scheraga, H.A.2
-
97
-
-
0000251664
-
Sampling protein conformations using segment libraries and a genetic algorithm, ”/
-
J. R. Gunn, “Sampling protein conformations using segment libraries and a genetic algorithm,”/. Chemi. Phys., vol. 106, pp. 4270-4281, 1997.
-
(1997)
Chemi. Phys.
, vol.106
, pp. 4270-4281
-
-
Gunn, J.R.1
-
98
-
-
0029564172
-
Improved genetic algorithm-based protein structure comparisons: Pairwise and multiple superpositions
-
A. C. W. May and M. S. Johnson, “Improved genetic algorithm-based protein structure comparisons: Pairwise and multiple superpositions,” Protein Eng., vol. 8, pp. 873–882, 1995.
-
(1995)
Protein Eng.
, vol.8
, pp. 873-882
-
-
May, A.C.W.1
Johnson, M.S.2
-
99
-
-
0031940562
-
Genfold: A genetic algorithm for folding protein structures using NMR restraints
-
M. J. Bayley, G. Jones, P. Willett, and M. P. Williamson, “Genfold: A genetic algorithm for folding protein structures using NMR restraints,” Protein Sci., vol. 7, no. 2, pp. 491–499, 1998.
-
(1998)
Protein Sci.
, vol.7
, Issue.2
, pp. 491-499
-
-
Bayley, M.J.1
Jones, G.2
Willett, P.3
Williamson, M.P.4
-
100
-
-
53149107105
-
Protein structure prediction in a 210-type lattice model: Parameter optimization in the genetic algorithm using orthogonal array
-
Z. Sun, X. Xia, Q. Guo, and D. Xu, “Protein structure prediction in a 210-type lattice model: Parameter optimization in the genetic algorithm using orthogonal array,” J. Protein Chem., vol. 18, no. 1, pp. 39-46,1999.
-
(1999)
J. Protein Chem.
, vol.18
, Issue.1
, pp. 39-46
-
-
Sun, Z.1
Xia, X.2
Guo, Q.3
Xu, D.4
-
101
-
-
0034572961
-
Genetic algorithms and protein folding. Methods in molecular biology
-
S. Schulze-Kremer, “Genetic algorithms and protein folding. Methods in molecular biology,” Protein Structure Prediction: Methods and Protocols, vol. 143, pp. 175–222, 2000.
-
(2000)
Protein Structure Prediction: Methods and Protocols
, vol.143
, pp. 175-222
-
-
Schulze-Kremer, S.1
-
102
-
-
0010649742
-
Introduction to Bioinformatics
-
London, U.K.: Oxford Univ. Press
-
A. M. Lesk, Introduction to Bioinformatics. London, U.K.: Oxford Univ. Press, 2002.
-
(2002)
-
-
Lesk, A.M.1
-
103
-
-
0041404869
-
Genetic algorithms for docking of actinomycin D and deoxyguanosine molecules with comparison to the crystal structure of actinomycin ddeoxyguanosine complex
-
Y. Xiao and D. Williams, “Genetic algorithms for docking of actinomycin D and deoxyguanosine molecules with comparison to the crystal structure of actinomycin ddeoxyguanosine complex,” J. Phys. Chem., vol. 98, pp. 7191–7200, 1994.
-
(1994)
J. Phys. Chem.
, vol.98
, pp. 7191-7200
-
-
Xiao, Y.1
Williams, D.2
-
104
-
-
0029281478
-
PRO-LIGAND: An approach to de novo molecular design. 3. A genetic algorithm for structure refinement
-
D. R. Westhead, D. E. Clark, D. Frenkel, J. Li, C. W. Murray, B. Robson, and B. Waszkowycz, “PRO-LIGAND: An approach to de novo molecular design. 3. A genetic algorithm for structure refinement,”J. Comput.- Aided Mol. Design, vol. 9, no. 2, pp. 139–148, 1995.
-
(1995)
J. Comput.- Aided Mol. Design
, vol.9
, Issue.2
, pp. 139-148
-
-
Westhead, D.R.1
Clark, D.E.2
Frenkel, D.3
Li, J.4
Murray, C.W.5
Robson, B.6
Waszkowycz, B.7
-
105
-
-
11644261806
-
Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function
-
G. M. Morris, D. S. Goodsell, R. S. Halliday, R. Huey, W. E. Hart, R. K. Belew, and A. J. Olsoni, “Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function,”J. Comput. Chem., vol. 19, no. 14, pp. 1639–1662, 1998.
-
(1998)
J. Comput. Chem.
, vol.19
, Issue.14
, pp. 1639-1662
-
-
Morris, G.M.1
Goodsell, D.S.2
Halliday, R.S.3
Huey, R.4
Hart, W.E.5
Belew, R.K.6
Olsoni, A.J.7
-
106
-
-
33947117860
-
Determination of molecular structure for drug design using variable string length genetic algorithm
-
Hyderabad, India
-
A. Bagchi, S. Bandyopadhyay, and U. Maulik, “Determination of molecular structure for drug design using variable string length genetic algorithm,” in Workshop on Soft Computing, High Performance Computing (HiPC) Workshops 2003: New Frontiersin High-Performance Computing, Hyderabad, India, 2003, pp. 145–154.
-
(2003)
Workshop on Soft Computing, High Performance Computing (HiPC) Workshops 2003: New Frontiersin High-Performance Computing
, pp. 145-154
-
-
Bagchi, A.1
Bandyopadhyay, S.2
Maulik, U.3
-
107
-
-
28044464697
-
Active site driven ligand design: An evolutionary approach
-
S. Bandyopadhyay, A. Bagchi, and U. Maulik, “Active site driven ligand design: An evolutionary approach,” J. Bioinf. Comput. Biol., vol. 3, no. 5, pp. 1053–1070, 2005.
-
(2005)
J. Bioinf. Comput. Biol.
, vol.3
, Issue.5
, pp. 1053-1070
-
-
Bandyopadhyay, S.1
Bagchi, A.2
Maulik, U.3
-
108
-
-
0032284634
-
Molecular binding in structure-based drug design: A case study of the population-based annealing genetic algorithms
-
C. Chen, L. H. Wang, C. Kao, M. Ouhyoung, and W. Chen, “Molecular binding in structure-based drug design: A case study of the population-based annealing genetic algorithms,” in Proc. IEEE Int. Conf. Tools with Artificial Intelligence, 1998, pp. 328–335.
-
(1998)
Proc. IEEE Int. Conf. Tools with Artificial Intelligence
, pp. 328-335
-
-
Chen, C.1
Wang, L.H.2
Kao, C.3
Ouhyoung, M.4
Chen, W.5
-
109
-
-
0029546365
-
Molecular binding: A case study of the population-based annealing genetic algorithms
-
L. H. Wang, C. Kao, M. Ouh-Young, and W. Chen, “Molecular binding: A case study of the population-based annealing genetic algorithms,” in Proc. IEEE Int. Conf. Evolutionary Computation, 1995, pp. 50–55.
-
(1995)
Proc. IEEE Int. Conf. Evolutionary Computation
, pp. 50-55
-
-
Wang, L.H.1
Kao, C.2
Ouh-Young, M.3
Chen, W.4
-
110
-
-
0008184312
-
Using an annealing genetic algorithm to solve global energy minimization problem in molecular binding
-
L. H. Wang, C. Kao, M. Ouh-Young, and W. C. Cheu, “Using an annealing genetic algorithm to solve global energy minimization problem in molecular binding,” in Proc. 6th Int. Conf. Tools with Artificial Intelligence, 1994, pp. 404-410.
-
(1994)
Proc. 6th Int. Conf. Tools with Artificial Intelligence
, pp. 404-410
-
-
Wang, L.H.1
Kao, C.2
Ouh-Young, M.3
Cheu, W.C.4
-
111
-
-
0002920380
-
Acomparison of global and local search methods in drug docking
-
C. D. Rosin, R. S. Halliday, W. E. Hart, and R. K. Belew, “Acomparison of global and local search methods in drug docking,” in Proc. Int. Conf. Genetic Algorithms, 1997, pp. 221–228.
-
(1997)
Proc. Int. Conf. Genetic Algorithms
, pp. 221-228
-
-
Rosin, C.D.1
Halliday, R.S.2
Hart, W.E.3
Belew, R.K.4
-
112
-
-
0034257895
-
A family competition evolutionary algorithm for automated docking of flexible ligands to proteins
-
Sep.
-
J. M. Yang and C. Y. Kao, “A family competition evolutionary algorithm for automated docking of flexible ligands to proteins,” IEEE Trans. Inf. Technol. Biomed., vol. 4, no. 3, pp. 225–237, Sep. 2000.
-
(2000)
IEEE Trans. Inf. Technol. Biomed.
, vol.4
, Issue.3
, pp. 225-237
-
-
Yang, J.M.1
Kao, C.Y.2
-
113
-
-
0029283717
-
Flexible ligand docking using a genetic algorithm
-
C. M. Oshiro, I. D. Kuntz, and J. S. Dixon, “Flexible ligand docking using a genetic algorithm,” J. Comput.-Aided Mol. Design, vol. 9, no. 2, pp.113-130, 1995.
-
(1995)
J. Comput.-Aided Mol. Design
, vol.9
, Issue.2
, pp. 113-130
-
-
Oshiro, C.M.1
Kuntz, I.D.2
Dixon, J.S.3
-
114
-
-
0030203970
-
Evolutionary algorithms in computer-aided molecular design
-
D. E. Clark and D. R. Westhead, “Evolutionary algorithms in computer-aided molecular design,” J. Comput.-Aided Mol. Design, vol. 10, no. 4, pp. 337–358, 1996.
-
(1996)
J. Comput.-Aided Mol. Design
, vol.10
, Issue.4
, pp. 337-358
-
-
Clark, D.E.1
Westhead, D.R.2
-
115
-
-
0028500262
-
Computer aided molecular design using genetic algorithms
-
V. Venkatasubramanian, K. Chan, and J. Caruthers, “Computer aided molecular design using genetic algorithms,” Comput. Chem. Eng., vol. 18, no. 9, pp. 833–844, 1994.
-
(1994)
Comput. Chem. Eng.
, vol.18
, Issue.9
, pp. 833-844
-
-
Venkatasubramanian, V.1
Chan, K.2
Caruthers, J.3
-
116
-
-
0001489865
-
Molecular-geometry optimization with a genetic algorithm
-
D. M. Deaven and K. O. Ho, “Molecular-geometry optimization with a genetic algorithm,” Phys. Rev. Lett., vol. 75, no. 2, pp. 288–291, 1995.
-
(1995)
Phys. Rev. Lett.
, vol.75
, Issue.2
, pp. 288-291
-
-
Deaven, D.M.1
Ho, K.O.2
-
117
-
-
0028854034
-
Molecular recognition of receptor sites using a genetic algorithm with a description of desolvation
-
G. Jones, P. Willett, and R. C. Glen, “Molecular recognition of receptor sites using a genetic algorithm with a description of desolvation,” J. Mol. Biol., vol. 245, pp. 43–53, 1995.
-
(1995)
J. Mol. Biol.
, vol.245
, pp. 43-53
-
-
Jones, G.1
Willett, P.2
Glen, R.C.3
-
118
-
-
0040196029
-
Further development of a genetic algorithm for ligand docking and its application to screening combinatorial libraries
-
Washington, DC: ACS
-
G. Jones, P. Willett, R. C. Glen, A. R. Leach, and R. Taylor, “Further development of a genetic algorithm for ligand docking and its application to screening combinatorial libraries,” American Chemical Society Symposium Series, vol. 719, Washington, DC: ACS, 1999, pp. 271–291.
-
(1999)
American Chemical Society Symposium Series
, vol.719
, pp. 271-291
-
-
Jones, G.1
Willett, P.2
Glen, R.C.3
Leach, A.R.4
Taylor, R.5
-
119
-
-
84913584731
-
Analysis of the genetic algorithm method of molecular conformation determination
-
D. B. McGarrah and R. S. Judson, “Analysis of the genetic algorithm method of molecular conformation determination,” J. Comput. Chem., vol. 14, no. 11, pp. 1385–1395, 1993.
-
(1993)
J. Comput. Chem.
, vol.14
, Issue.11
, pp. 1385-1395
-
-
McGarrah, D.B.1
Judson, R.S.2
-
120
-
-
0032885355
-
Automated docking of peptides and proteins by using a genetic algorithm combined with a tabu search
-
T. Hou, J. Wang, L. Chen, and X. Xu, “Automated docking of peptides and proteins by using a genetic algorithm combined with a tabu search,” Protein Eng., vol. 12, pp. 639–647, 1999.
-
(1999)
Protein Eng.
, vol.12
, pp. 639-647
-
-
Hou, T.1
Wang, J.2
Chen, L.3
Xu, X.4
-
121
-
-
0028863971
-
Genetic algorithms in molecular recognition and design
-
P. Willet, “Genetic algorithms in molecular recognition and design,” Trends Biotechnol., vol. 13, no. 12, pp. 516–521, 1995.
-
(1995)
Trends Biotechnol.
, vol.13
, Issue.12
, pp. 516-521
-
-
Willet, P.1
|