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Items: 1 to 20 of 87

1.

Crowd computing: using competitive dynamics to develop and refine highly predictive models.

Bentzien J, Muegge I, Hamner B, Thompson DC.

Drug Discov Today. 2013 May;18(9-10):472-8. doi: 10.1016/j.drudis.2013.01.002. Epub 2013 Jan 19.

PMID:
23337388
2.

Application of advanced in silico methods for predictive modeling and information integration.

Valerio LG Jr.

Expert Opin Drug Metab Toxicol. 2012 Apr;8(4):395-8. doi: 10.1517/17425255.2012.664636.

PMID:
22432718
3.

In silico modeling to predict drug-induced phospholipidosis.

Choi SS, Kim JS, Valerio LG Jr, Sadrieh N.

Toxicol Appl Pharmacol. 2013 Jun 1;269(2):195-204. doi: 10.1016/j.taap.2013.03.010. Epub 2013 Mar 27.

PMID:
23541745
4.

Computational intelligence approaches for pattern discovery in biological systems.

Fogel GB.

Brief Bioinform. 2008 Jul;9(4):307-16. doi: 10.1093/bib/bbn021. Epub 2008 May 5. Review.

PMID:
18460474
5.

Physiologically based pharmacokinetic (PBPK) modeling and simulation: applications in lead optimization.

Peters SA, Ungell AL, Dolgos H.

Curr Opin Drug Discov Devel. 2009 Jul;12(4):509-18. Review.

PMID:
19562647
6.

Evaluation of artificial intelligence based models for chemical biodegradability prediction.

Baker JR, Gamberger D, Mihelcic JR, Sabljić A.

Molecules. 2004 Dec 31;9(12):989-1004. Review.

7.

Connecting the dots: role of standardization and technology sharing in biological simulation.

Ghosh S, Matsuoka Y, Kitano H.

Drug Discov Today. 2010 Dec;15(23-24):1024-31. doi: 10.1016/j.drudis.2010.10.001. Epub 2010 Oct 8. Review.

PMID:
20934535
8.

In silico prediction of post-translational modifications.

Liu C, Li H.

Methods Mol Biol. 2011;760:325-40. doi: 10.1007/978-1-61779-176-5_20. Review.

PMID:
21780006
9.

The virtual marathon: parallel computing supports crowd simulations.

Yilmaz E, Isler V, Cetin YY.

IEEE Comput Graph Appl. 2009 Jul-Aug;29(4):26-33.

PMID:
19798860
10.

In silico modeling and simulation of bone biology: a proposal.

Defranoux NA, Stokes CL, Young DL, Kahn AJ.

J Bone Miner Res. 2005 Jul;20(7):1079-84. Epub 2005 Apr 4. Review.

11.

An optimization model of competition between species for resource.

Sukhovol'skii VG, Khlebopros RG, Iskhakov TR.

Dokl Biochem Biophys. 2003 May-Jun;390:171-3. No abstract available.

PMID:
12959072
12.

Role of nutrient bound of prey on the dynamics of predator-mediated competitive-coexistence.

Roy S, Alam S, Chattopadhyay J.

Biosystems. 2005 Nov;82(2):143-53. Epub 2005 Aug 19.

PMID:
16112387
13.

In silico drug discovery approaches on grid computing infrastructures.

Wolf A, Shahid M, Kasam V, Ziegler W, Hofmann-Apitius M.

Curr Clin Pharmacol. 2010 Feb;5(1):37-46. Review.

PMID:
19642967
14.

Structure learning for Bayesian networks as models of biological networks.

Larjo A, Shmulevich I, Lähdesmäki H.

Methods Mol Biol. 2013;939:35-45. doi: 10.1007/978-1-62703-107-3_4.

PMID:
23192539
15.
16.

Particle swarm optimization with recombination and dynamic linkage discovery.

Chen YP, Peng WC, Jian MC.

IEEE Trans Syst Man Cybern B Cybern. 2007 Dec;37(6):1460-70.

PMID:
18179066
17.

In-silico ADME models: a general assessment of their utility in drug discovery applications.

Gleeson MP, Hersey A, Hannongbua S.

Curr Top Med Chem. 2011;11(4):358-81. Review.

PMID:
21320065
19.

Prediction of mutagenic toxicity by combination of Recursive Partitioning and Support Vector Machines.

Liao Q, Yao J, Yuan S.

Mol Divers. 2007 May;11(2):59-72. Epub 2007 Apr 11.

PMID:
17440826
20.

A review on the integration of artificial intelligence into coastal modeling.

Chau K.

J Environ Manage. 2006 Jul;80(1):47-57. Epub 2005 Dec 5. Review.

PMID:
16337078

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