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Developing combinatorial multi-component therapies (CMCT) of drugs that are more specific and have fewer side effects than traditional one drug therapies.
Liebovitch LS, Tsinoremas N, Pandya A.
Nonlinear Biomed Phys. 2007 Aug 30;1(1):11.PMID: 17908289 [PubMed - in process]Related articlesFree article
The efficiency of multi-target drugs: the network approach might help drug design.
Csermely P, Agoston V, Pongor S.
Trends Pharmacol Sci. 2005 Apr;26(4):178-82. Review.PMID: 15808341 [PubMed - indexed for MEDLINE]Related articles
Unified QSAR approach to antimicrobials. Part 3: first multi-tasking QSAR model for input-coded prediction, structural back-projection, and complex networks clustering of antiprotozoal compounds.
Prado-Prado FJ, González-Díaz H, de la Vega OM, Ubeira FM, Chou KC.
Bioorg Med Chem. 2008 Jun 1;16(11):5871-80. Epub 2008 Apr 29.PMID: 18485714 [PubMed - indexed for MEDLINE]Related articles
Finding multiple target optimal intervention in disease-related molecular network.
Yang K, Bai H, Ouyang Q, Lai L, Tang C.
Mol Syst Biol. 2008;4:228. Epub 2008 Nov 4.PMID: 18985027 [PubMed - indexed for MEDLINE]Related articlesFree article
A global view of drug-therapy interactions.
Nacher JC, Schwartz JM.
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Structure and organization of drug-target networks: insights from genomic approaches for drug discovery.
Janga SC, Tzakos A.
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What does systems biology mean for drug development?
Schrattenholz A, Soskić V.
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Drug discovery using chemical systems biology: identification of the protein-ligand binding network to explain the side effects of CETP inhibitors.
Xie L, Li J, Xie L, Bourne PE.
PLoS Comput Biol. 2009 May;5(5):e1000387. Epub 2009 May 15.PMID: 19436720 [PubMed - indexed for MEDLINE]Related articlesFree article
Data strip mining for the virtual design of pharmaceuticals with neural networks.
Kewley RH, Embrechts MJ, Breneman C.
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Data mining in pharmacovigilance--detecting the unexpected: the role of index of suspicion of the reporter.
Sundström A, Hallberg P.
Drug Saf. 2009;32(5):419-27. doi: 10.2165/00002018-200932050-00005.PMID: 19419236 [PubMed - indexed for MEDLINE]Related articles
Use of an artificial neural network to predict head injury outcome.
Rughani AI, Dumont TM, Lu Z, Bongard J, Horgan MA, Penar PL, Tranmer BI.
J Neurosurg. 2009 Dec 18. [Epub ahead of print]PMID: 20020844 [PubMed - as supplied by publisher]Related articles
Anti-arrhythmic drug therapy for atrial fibrillation: current anti-arrhythmic drugs, investigational agents, and innovative approaches.
Savelieva I, Camm J.
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An adaptive drug delivery design using neural networks for effective treatment of infectious diseases: a simulation study.
Padhi R, Bhardhwaj JR.
Comput Methods Programs Biomed. 2009 Jun;94(3):207-22. Epub 2009 Feb 11.PMID: 19215995 [PubMed - indexed for MEDLINE]Related articles
Unified QSAR approach to antimicrobials. 4. Multi-target QSAR modeling and comparative multi-distance study of the giant components of antiviral drug-drug complex networks.
Prado-Prado FJ, Martinez de la Vega O, Uriarte E, Ubeira FM, Chou KC, González-Díaz H.
Bioorg Med Chem. 2009 Jan 15;17(2):569-75. Epub 2008 Dec 6.PMID: 19112024 [PubMed - indexed for MEDLINE]Related articles
Trends in the exploration of anticancer targets and strategies in enhancing the efficacy of drug targeting.
Zhu F, Zheng CJ, Han LY, Xie B, Jia J, Liu X, Tammi MT, Yang SY, Wei YQ, Chen YZ.
Curr Mol Pharmacol. 2008 Nov;1(3):213-32. Review.PMID: 20021435 [PubMed - indexed for MEDLINE]Related articles
[Design of multiple targeted drugs]
Guo YS, Guo ZR.
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Knowledgebase for addiction-related genes: is it possible an extrapolation to rational multi-target drug design?
Espinoza-Fonseca LM.
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Drug-efficacy depends on the inhibitor type and the target position in a metabolic network--a systematic study.
Gerber S, Assmus H, Bakker B, Klipp E.
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From single- to multi-target drugs in cancer therapy: when aspecificity becomes an advantage.
Petrelli A, Giordano S.
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Computational capabilities of recurrent NARX neural networks.
Siegelmann HT, Horne BG, Giles CL.
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