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Showing 1 to 12 of 79 entries
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[Ecotoxicology and metabolism of chemical substances].

Bratislavske lekarske listy

Rosival L.
PMID: 509251
Bratisl Lek Listy. 1979 Jul;72(1):114-23.

No abstract available.

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Rosival L. Ekotoxikológia a metabolizmus chemických látok. [Ecotoxicology and metabolism of chemical substances]. Bratisl Lek Listy. 1979;72(1):114-23
Rosival, L. (1979). Ekotoxikológia a metabolizmus chemických látok. [Ecotoxicology and metabolism of chemical substances]. Bratislavske lekarske listy, 72(1), 114-23.
Rosival, L. "Ekotoxikológia a metabolizmus chemických látok." [Ecotoxicology and metabolism of chemical substances]. Bratislavske lekarske listy vol. 72,1 (1979): 114-23.
Rosival L. Ekotoxikológia a metabolizmus chemických látok. [Ecotoxicology and metabolism of chemical substances]. Bratisl Lek Listy. 1979 Jul;72(1):114-23. Slovak. PMID: 509251.
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Drug accumulation.

The Journal of clinical pharmacology and the journal of new drugs

Wagner JG.
PMID: 5230426
J Clin Pharmacol J New Drugs. 1967 Mar-Apr;7(2):84-8. doi: 10.1002/j.1552-4604.1967.tb00290.x.

No abstract available.

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Wagner JG. Drug accumulation. J Clin Pharmacol J New Drugs. 1967;7(2):84-8doi: 10.1002/j.1552-4604.1967.tb00290.x.
Wagner, J. G. (1967). Drug accumulation. The Journal of clinical pharmacology and the journal of new drugs, 7(2), 84-8. https://doi.org/10.1002/j.1552-4604.1967.tb00290.x
Wagner, J G. "Drug accumulation." The Journal of clinical pharmacology and the journal of new drugs vol. 7,2 (1967): 84-8. doi: https://doi.org/10.1002/j.1552-4604.1967.tb00290.x
Wagner JG. Drug accumulation. J Clin Pharmacol J New Drugs. 1967 Mar-Apr;7(2):84-8. doi: 10.1002/j.1552-4604.1967.tb00290.x. PMID: 5230426.
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Promises of Machine Learning Approaches in Prediction of Absorption of Compounds.

Mini reviews in medicinal chemistry

Kumar R, Sharma A, Siddiqui MH, Tiwari RK.
PMID: 28302041
Mini Rev Med Chem. 2018;18(3):196-207. doi: 10.2174/1389557517666170315150116.

The Machine Learning (ML) is one of the fastest developing techniques in the prediction and evaluation of important pharmacokinetic properties such as absorption, distribution, metabolism and excretion. The availability of a large number of robust validation techniques for prediction...

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Kumar R, Sharma A, Siddiqui MH, et al. Promises of Machine Learning Approaches in Prediction of Absorption of Compounds. Mini Rev Med Chem. 2018;18(3):196-207doi: 10.2174/1389557517666170315150116.
Kumar, R., Sharma, A., Siddiqui, M. H., & Tiwari, R. K. (2018). Promises of Machine Learning Approaches in Prediction of Absorption of Compounds. Mini reviews in medicinal chemistry, 18(3), 196-207. https://doi.org/10.2174/1389557517666170315150116
Kumar, Rajnish, et al. "Promises of Machine Learning Approaches in Prediction of Absorption of Compounds." Mini reviews in medicinal chemistry vol. 18,3 (2018): 196-207. doi: https://doi.org/10.2174/1389557517666170315150116
Kumar R, Sharma A, Siddiqui MH, Tiwari RK. Promises of Machine Learning Approaches in Prediction of Absorption of Compounds. Mini Rev Med Chem. 2018;18(3):196-207. doi: 10.2174/1389557517666170315150116. PMID: 28302041.
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The design of pharmacokinetic experiments for model discrimination.

Journal of pharmacokinetics and biopharmaceutics

Lacey L, Dunne A.
PMID: 6502475
J Pharmacokinet Biopharm. 1984 Jun;12(3):351-65. doi: 10.1007/BF01061725.

The need for objective design of pharmacokinetic experiments aimed at model discrimination is argued. A sequential design strategy based on information theory is outlined. The characteristics of this strategy and its applicability to pharmacokinetic experiments is examined by means...

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Lacey L, Dunne A. The design of pharmacokinetic experiments for model discrimination. J Pharmacokinet Biopharm. 1984;12(3):351-65doi: 10.1007/BF01061725.
Lacey, L., & Dunne, A. (1984). The design of pharmacokinetic experiments for model discrimination. Journal of pharmacokinetics and biopharmaceutics, 12(3), 351-65. https://doi.org/10.1007/BF01061725
Lacey, L, and Dunne, A. "The design of pharmacokinetic experiments for model discrimination." Journal of pharmacokinetics and biopharmaceutics vol. 12,3 (1984): 351-65. doi: https://doi.org/10.1007/BF01061725
Lacey L, Dunne A. The design of pharmacokinetic experiments for model discrimination. J Pharmacokinet Biopharm. 1984 Jun;12(3):351-65. doi: 10.1007/BF01061725. PMID: 6502475.
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Studies target ethnic and racial differences in drug metabolism.

Texas medicine

Richardson M.
PMID: 8248876
Tex Med. 1993 Oct;89(10):46-8.

No abstract available.

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Richardson M. Studies target ethnic and racial differences in drug metabolism. Tex Med. 1993;89(10):46-8
Richardson, M. (1993). Studies target ethnic and racial differences in drug metabolism. Texas medicine, 89(10), 46-8.
Richardson, M. "Studies target ethnic and racial differences in drug metabolism." Texas medicine vol. 89,10 (1993): 46-8.
Richardson M. Studies target ethnic and racial differences in drug metabolism. Tex Med. 1993 Oct;89(10):46-8. PMID: 8248876.
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Retrometabolic approaches for drug design and targeting.

Die Pharmazie

Bodor N.
PMID: 9266587
Pharmazie. 1997 Jul;52(7):491-4.

Retrometabolic drug design approaches incorporate targeting and metabolic considerations into the drug design process and represent a novel, systematic methodology for the design of safe, localized compounds. Two major design concepts aimed to increase the therapeutic index (the activity/toxicity...

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Bodor N. Retrometabolic approaches for drug design and targeting. Pharmazie. 1997;52(7):491-4
Bodor, N. (1997). Retrometabolic approaches for drug design and targeting. Die Pharmazie, 52(7), 491-4.
Bodor, N. "Retrometabolic approaches for drug design and targeting." Die Pharmazie vol. 52,7 (1997): 491-4.
Bodor N. Retrometabolic approaches for drug design and targeting. Pharmazie. 1997 Jul;52(7):491-4. PMID: 9266587.
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Web alert. The chemistry of metabolic and toxicological processes.

Current opinion in drug discovery & development

Cavalla D.
PMID: 11727319
Curr Opin Drug Discov Devel. 2001 Jan;4(1):25-6.

No abstract available.

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Cavalla D. Web alert. The chemistry of metabolic and toxicological processes. Curr Opin Drug Discov Devel. 2001;4(1):25-6
Cavalla, D. (2001). Web alert. The chemistry of metabolic and toxicological processes. Current opinion in drug discovery & development, 4(1), 25-6.
Cavalla, D. "Web alert. The chemistry of metabolic and toxicological processes." Current opinion in drug discovery & development vol. 4,1 (2001): 25-6.
Cavalla D. Web alert. The chemistry of metabolic and toxicological processes. Curr Opin Drug Discov Devel. 2001 Jan;4(1):25-6. PMID: 11727319.
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30th anniversary.

European journal of drug metabolism and pharmacokinetics

Benakis A.
PMID: 16010856
Eur J Drug Metab Pharmacokinet. 2005 Jan-Jun;30(1):1-2. doi: 10.1007/BF03226402.

No abstract available.

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Benakis A. 30th anniversary. Eur J Drug Metab Pharmacokinet. 2005;30(1):1-2doi: 10.1007/BF03226402.
Benakis, A. (2005). 30th anniversary. European journal of drug metabolism and pharmacokinetics, 30(1), 1-2. https://doi.org/10.1007/BF03226402
Benakis, A. "30th anniversary." European journal of drug metabolism and pharmacokinetics vol. 30,1 (2005): 1-2. doi: https://doi.org/10.1007/BF03226402
Benakis A. 30th anniversary. Eur J Drug Metab Pharmacokinet. 2005 Jan-Jun;30(1):1-2. doi: 10.1007/BF03226402. PMID: 16010856.
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Current drug metabolism.

Current drug metabolism

Huang CM.
PMID: 19149507
Curr Drug Metab. 2009 Jan;10(1):1. doi: 10.2174/138920009787048400.

No abstract available.

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Huang CM. Current drug metabolism. Curr Drug Metab. 2009;10(1):1doi: 10.2174/138920009787048400.
Huang, C. M. (2009). Current drug metabolism. Current drug metabolism, 10(1), 1. https://doi.org/10.2174/138920009787048400
Huang, Chun-Ming. "Current drug metabolism." Current drug metabolism vol. 10,1 (2009): 1. doi: https://doi.org/10.2174/138920009787048400
Huang CM. Current drug metabolism. Curr Drug Metab. 2009 Jan;10(1):1. doi: 10.2174/138920009787048400. PMID: 19149507.
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Going further than Lipinski's rule in drug design.

Expert opinion on drug discovery

Walters WP.
PMID: 22468912
Expert Opin Drug Discov. 2012 Feb;7(2):99-107. doi: 10.1517/17460441.2012.648612. Epub 2012 Jan 13.

INTRODUCTION: Lipinski's 1997 publication of the 'Rule of 5' (Ro5) was one of the most influential recent medicinal chemistry publications. In the almost 15 years since the publication of the original Ro5 paper, multiple groups have refined and expanded...

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Walters WP. Going further than Lipinski's rule in drug design. Expert Opin Drug Discov. 2012;7(2):99-107doi: 10.1517/17460441.2012.648612.
Walters, W. P. (2012). Going further than Lipinski's rule in drug design. Expert opinion on drug discovery, 7(2), 99-107. https://doi.org/10.1517/17460441.2012.648612
Walters, W Patrick. "Going further than Lipinski's rule in drug design." Expert opinion on drug discovery vol. 7,2 (2012): 99-107. doi: https://doi.org/10.1517/17460441.2012.648612
Walters WP. Going further than Lipinski's rule in drug design. Expert Opin Drug Discov. 2012 Feb;7(2):99-107. doi: 10.1517/17460441.2012.648612. Epub 2012 Jan 13. PMID: 22468912.
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The initial rate of change in distribution volume is the sum of intercompartmental clearances.

Journal of pharmaceutical sciences

Avram MJ, Henthorn TK, Shanks CA, Krejcie TC.
PMID: 3783465
J Pharm Sci. 1986 Sep;75(9):919-20. doi: 10.1002/jps.2600750922.

No abstract available.

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Avram MJ, Henthorn TK, Shanks CA, et al. The initial rate of change in distribution volume is the sum of intercompartmental clearances. J Pharm Sci. 1986;75(9):919-20doi: 10.1002/jps.2600750922.
Avram, M. J., Henthorn, T. K., Shanks, C. A., & Krejcie, T. C. (1986). The initial rate of change in distribution volume is the sum of intercompartmental clearances. Journal of pharmaceutical sciences, 75(9), 919-20. https://doi.org/10.1002/jps.2600750922
Avram, M J, et al. "The initial rate of change in distribution volume is the sum of intercompartmental clearances." Journal of pharmaceutical sciences vol. 75,9 (1986): 919-20. doi: https://doi.org/10.1002/jps.2600750922
Avram MJ, Henthorn TK, Shanks CA, Krejcie TC. The initial rate of change in distribution volume is the sum of intercompartmental clearances. J Pharm Sci. 1986 Sep;75(9):919-20. doi: 10.1002/jps.2600750922. PMID: 3783465.
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Post-acquisition data mining techniques for LC-MS/MS-acquired data in drug metabolite identification.

Bioanalysis

Dhurjad PS, Marothu VK, Rathod R.
PMID: 28816067
Bioanalysis. 2017 Aug;9(16):1265-1278. doi: 10.4155/bio-2017-0046. Epub 2017 Aug 17.

Metabolite identification is a crucial part of the drug discovery process. LC-MS/MS-based metabolite identification has gained widespread use, but the data acquired by the LC-MS/MS instrument is complex, and thus the interpretation of data becomes troublesome. Fortunately, advancements in...

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Dhurjad PS, Marothu VK, Rathod R. Post-acquisition data mining techniques for LC-MS/MS-acquired data in drug metabolite identification. Bioanalysis. 2017;9(16):1265-1278doi: 10.4155/bio-2017-0046.
Dhurjad, P. S., Marothu, V. K., & Rathod, R. (2017). Post-acquisition data mining techniques for LC-MS/MS-acquired data in drug metabolite identification. Bioanalysis, 9(16), 1265-1278. https://doi.org/10.4155/bio-2017-0046
Dhurjad, Pooja Sukhdev, et al. "Post-acquisition data mining techniques for LC-MS/MS-acquired data in drug metabolite identification." Bioanalysis vol. 9,16 (2017): 1265-1278. doi: https://doi.org/10.4155/bio-2017-0046
Dhurjad PS, Marothu VK, Rathod R. Post-acquisition data mining techniques for LC-MS/MS-acquired data in drug metabolite identification. Bioanalysis. 2017 Aug;9(16):1265-1278. doi: 10.4155/bio-2017-0046. Epub 2017 Aug 17. PMID: 28816067.
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Showing 1 to 12 of 79 entries