Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 12 entries
Sorted by: Best Match Show Resources per page
The clinical value of FDA class C drugs approved from 1981 to 1988.

Clinical pharmacology and therapeutics

Yasuda SU, Woosley RL.
PMID: 1458766
Clin Pharmacol Ther. 1992 Dec;52(6):577-82. doi: 10.1038/clpt.1992.194.

No abstract available.

Cite
Yasuda SU, Woosley RL. The clinical value of FDA class C drugs approved from 1981 to 1988. Clin Pharmacol Ther. 1992;52(6):577-82doi: 10.1038/clpt.1992.194.
Yasuda, S. U., & Woosley, R. L. (1992). The clinical value of FDA class C drugs approved from 1981 to 1988. Clinical pharmacology and therapeutics, 52(6), 577-82. https://doi.org/10.1038/clpt.1992.194
Yasuda, S U, and Woosley, R L. "The clinical value of FDA class C drugs approved from 1981 to 1988." Clinical pharmacology and therapeutics vol. 52,6 (1992): 577-82. doi: https://doi.org/10.1038/clpt.1992.194
Yasuda SU, Woosley RL. The clinical value of FDA class C drugs approved from 1981 to 1988. Clin Pharmacol Ther. 1992 Dec;52(6):577-82. doi: 10.1038/clpt.1992.194. PMID: 1458766.
Copy Download .nbib Format: NLM
[Classification and pharmacotherapeutic coding of drugs].

Pharmaceutisch weekblad

de Ru H.
PMID: 4654264
Pharm Weekbl. 1972 Dec 01;107(48):745-62.

No abstract available.

Cite
de Ru H. Classificatie en farmacotherapeutische codering van geneesmiddelen. [Classification and pharmacotherapeutic coding of drugs]. Pharm Weekbl. 1972;107(48):745-62
de Ru, H. (1972). Classificatie en farmacotherapeutische codering van geneesmiddelen. [Classification and pharmacotherapeutic coding of drugs]. Pharmaceutisch weekblad, 107(48), 745-62.
de Ru, H. "Classificatie en farmacotherapeutische codering van geneesmiddelen." [Classification and pharmacotherapeutic coding of drugs]. Pharmaceutisch weekblad vol. 107,48 (1972): 745-62.
de Ru H. Classificatie en farmacotherapeutische codering van geneesmiddelen. [Classification and pharmacotherapeutic coding of drugs]. Pharm Weekbl. 1972 Dec 01;107(48):745-62. Dutch. PMID: 4654264.
Copy Download .nbib Format: NLM
Soft drug design: general principles and recent applications.

Medicinal research reviews

Bodor N, Buchwald P.
PMID: 10608921
Med Res Rev. 2000 Jan;20(1):58-101. doi: 10.1002/(sici)1098-1128(200001)20:1<58::aid-med3>3.0.co;2-x.

Soft drug design represents a new approach aimed to design safer drugs with an increased therapeutic index by integrating metabolism considerations into the drug design process. Soft drugs are new therapeutic agents that undergo predictable metabolism to inactive metabolites...

Cite
Bodor N, Buchwald P. Soft drug design: general principles and recent applications. Med Res Rev. 2000;20(1):58-101doi: 10.1002/(sici)1098-1128(200001)20:1<58::aid-med3>3.0.co;2-x.
Bodor, N., & Buchwald, P. (2000). Soft drug design: general principles and recent applications. Medicinal research reviews, 20(1), 58-101. https://doi.org/10.1002/(sici)1098-1128(200001)20:1<58::aid-med3>3.0.co;2-x
Bodor, N, and Buchwald, P. "Soft drug design: general principles and recent applications." Medicinal research reviews vol. 20,1 (2000): 58-101. doi: https://doi.org/10.1002/(sici)1098-1128(200001)20:1<58::aid-med3>3.0.co;2-x
Bodor N, Buchwald P. Soft drug design: general principles and recent applications. Med Res Rev. 2000 Jan;20(1):58-101. doi: 10.1002/(sici)1098-1128(200001)20:1<58::aid-med3>3.0.co;2-x. PMID: 10608921.
Copy Download .nbib Format: NLM
[The new classification of drugs: the ATC-code now introduced].

Ugeskrift for laeger

[No authors listed]
PMID: 7233607
Ugeskr Laeger. 1981 Apr 13;143(16):1037-9.

No abstract available.

Cite
Laegemiddelinformation. Den nye inddeling af laegemidler: ATC-koden indføres nu. [The new classification of drugs: the ATC-code now introduced]. Ugeskr Laeger. 1981;143(16):1037-9
(1981). Laegemiddelinformation. Den nye inddeling af laegemidler: ATC-koden indføres nu. [The new classification of drugs: the ATC-code now introduced]. Ugeskrift for laeger, 143(16), 1037-9.
"Laegemiddelinformation. Den nye inddeling af laegemidler: ATC-koden indføres nu." [The new classification of drugs: the ATC-code now introduced]. Ugeskrift for laeger vol. 143,16 (1981): 1037-9.
Laegemiddelinformation. Den nye inddeling af laegemidler: ATC-koden indføres nu. [The new classification of drugs: the ATC-code now introduced]. Ugeskr Laeger. 1981 Apr 13;143(16):1037-9. Danish. PMID: 7233607.
Copy Download .nbib Format: NLM
Convolutional Neural Networks for ATC Classification.

Current pharmaceutical design

Lumini A, Nanni L.
PMID: 30417778
Curr Pharm Des. 2018;24(34):4007-4012. doi: 10.2174/1381612824666181112113438.

BACKGROUND: Anatomical Therapeutic Chemical (ATC) classification of unknown compound has raised high significance for both drug development and basic research. The ATC system is a multi-label classification system proposed by the World Health Organization (WHO), which categorizes drugs into...

Cite
Lumini A, Nanni L. Convolutional Neural Networks for ATC Classification. Curr Pharm Des. 2018;24(34):4007-4012doi: 10.2174/1381612824666181112113438.
Lumini, A., & Nanni, L. (2018). Convolutional Neural Networks for ATC Classification. Current pharmaceutical design, 24(34), 4007-4012. https://doi.org/10.2174/1381612824666181112113438
Lumini, Alessandra, and Nanni, Loris. "Convolutional Neural Networks for ATC Classification." Current pharmaceutical design vol. 24,34 (2018): 4007-4012. doi: https://doi.org/10.2174/1381612824666181112113438
Lumini A, Nanni L. Convolutional Neural Networks for ATC Classification. Curr Pharm Des. 2018;24(34):4007-4012. doi: 10.2174/1381612824666181112113438. PMID: 30417778.
Copy Download .nbib Format: NLM
Data science-driven analyses of drugs inducing hypertension as an adverse effect.

Molecular diversity

Sharma R.
PMID: 32415493
Mol Divers. 2021 May;25(2):801-810. doi: 10.1007/s11030-020-10059-5. Epub 2020 May 15.

The utilization of approved medication is a requisite to combat certain diseases for health; however, the undesirable adverse effects (AEs) due to medication are generally unavoidable. Hypertension is one of such AEs resulting from approved medication in which blood...

Cite
Sharma R. Data science-driven analyses of drugs inducing hypertension as an adverse effect. Mol Divers. 2020;25(2):801-810doi: 10.1007/s11030-020-10059-5.
Sharma, R. (2021). Data science-driven analyses of drugs inducing hypertension as an adverse effect. Molecular diversity, 25(2), 801-810. https://doi.org/10.1007/s11030-020-10059-5
Sharma, Reetu. "Data science-driven analyses of drugs inducing hypertension as an adverse effect." Molecular diversity vol. 25,2 (2021): 801-810. doi: https://doi.org/10.1007/s11030-020-10059-5
Sharma R. Data science-driven analyses of drugs inducing hypertension as an adverse effect. Mol Divers. 2021 May;25(2):801-810. doi: 10.1007/s11030-020-10059-5. Epub 2020 May 15. PMID: 32415493.
Copy Download .nbib Format: NLM
[Classification of drugs by biochemical mechanism of action].

Voprosy meditsinskoi khimii

Kulinskiĭ LS, Kolesnichenko LS.
PMID: 9634721
Vopr Med Khim. 1998 Mar-Apr;44(2):179-84.

Biochemical drugs classification is proposed. Drugs are divided into 6 classes, according to their action on: 1) signal-transduction systems, 2) other components of plasmatic membranes, 3) intracellularly, 4) gene therapy, 5) extracellularly, 6) invasive agents. Concrete biochemical mechanisms of...

Cite
Kulinskiĭ LS, Kolesnichenko LS. Klassifikatsiia lekarstv po biokhimicheskim mekhanizmam deĭstviia. [Classification of drugs by biochemical mechanism of action]. Vopr Med Khim. 1998;44(2):179-84
Kulinskiĭ, L. S., & Kolesnichenko, L. S. (1998). Klassifikatsiia lekarstv po biokhimicheskim mekhanizmam deĭstviia. [Classification of drugs by biochemical mechanism of action]. Voprosy meditsinskoi khimii, 44(2), 179-84.
Kulinskiĭ, L S, and Kolesnichenko, L S. "Klassifikatsiia lekarstv po biokhimicheskim mekhanizmam deĭstviia." [Classification of drugs by biochemical mechanism of action]. Voprosy meditsinskoi khimii vol. 44,2 (1998): 179-84.
Kulinskiĭ LS, Kolesnichenko LS. Klassifikatsiia lekarstv po biokhimicheskim mekhanizmam deĭstviia. [Classification of drugs by biochemical mechanism of action]. Vopr Med Khim. 1998 Mar-Apr;44(2):179-84. Russian. PMID: 9634721.
Copy Download .nbib Format: NLM
Influence of HPLC retention data and molecular modeling descriptors on prediction of pharmacological classification of drugs using principal component analysis method.

Combinatorial chemistry & high throughput screening

Koba M, Bober L, Judycka-Proma U, Baczek T.
PMID: 20615199
Comb Chem High Throughput Screen. 2010 Nov;13(9):765-76. doi: 10.2174/138620710792927411.

The usage of principal component analysis (PCA) method in prediction of pharmacological classification of the drugs based on high-performance liquid chromatography (HPLC) retention data and on non-empirical structural parameters was studied. A group of 36 drugs of established pharmacological...

Cite
Koba M, Bober L, Judycka-Proma U, et al. Influence of HPLC retention data and molecular modeling descriptors on prediction of pharmacological classification of drugs using principal component analysis method. Comb Chem High Throughput Screen. 2010;13(9):765-76doi: 10.2174/138620710792927411.
Koba, M., Bober, L., Judycka-Proma, U., & Baczek, T. (2010). Influence of HPLC retention data and molecular modeling descriptors on prediction of pharmacological classification of drugs using principal component analysis method. Combinatorial chemistry & high throughput screening, 13(9), 765-76. https://doi.org/10.2174/138620710792927411
Koba, Marcin, et al. "Influence of HPLC retention data and molecular modeling descriptors on prediction of pharmacological classification of drugs using principal component analysis method." Combinatorial chemistry & high throughput screening vol. 13,9 (2010): 765-76. doi: https://doi.org/10.2174/138620710792927411
Koba M, Bober L, Judycka-Proma U, Baczek T. Influence of HPLC retention data and molecular modeling descriptors on prediction of pharmacological classification of drugs using principal component analysis method. Comb Chem High Throughput Screen. 2010 Nov;13(9):765-76. doi: 10.2174/138620710792927411. PMID: 20615199.
Copy Download .nbib Format: NLM
Synthetic approaches to the 2006 new drugs.

Mini reviews in medicinal chemistry

Liu KK, Sakya SM, Li J.
PMID: 18220978
Mini Rev Med Chem. 2007 Dec;7(12):1255-69. doi: 10.2174/138955707782795629.

New drugs are introduced to the market every year and each individual drug represents a privileged structure for its biological target. In addition, these new chemical entities (NCEs) not only provide insights into molecular recognition, but also serve as...

Cite
Liu KK, Sakya SM, Li J. Synthetic approaches to the 2006 new drugs. Mini Rev Med Chem. 2007;7(12):1255-69doi: 10.2174/138955707782795629.
Liu, K. K., Sakya, S. M., & Li, J. (2007). Synthetic approaches to the 2006 new drugs. Mini reviews in medicinal chemistry, 7(12), 1255-69. https://doi.org/10.2174/138955707782795629
Liu, Kevin K-C, et al. "Synthetic approaches to the 2006 new drugs." Mini reviews in medicinal chemistry vol. 7,12 (2007): 1255-69. doi: https://doi.org/10.2174/138955707782795629
Liu KK, Sakya SM, Li J. Synthetic approaches to the 2006 new drugs. Mini Rev Med Chem. 2007 Dec;7(12):1255-69. doi: 10.2174/138955707782795629. PMID: 18220978.
Copy Download .nbib Format: NLM
Metabolic profiling using HPLC allows classification of drugs according to their mechanisms of action in HL-1 cardiomyocytes.

Toxicology and applied pharmacology

Strigun A, Wahrheit J, Beckers S, Heinzle E, Noor F.
PMID: 21320520
Toxicol Appl Pharmacol. 2011 Apr 15;252(2):183-91. doi: 10.1016/j.taap.2011.02.008. Epub 2011 Feb 12.

Along with hepatotoxicity, cardiotoxic side effects remain one of the major reasons for drug withdrawals and boxed warnings. Prediction methods for cardiotoxicity are insufficient. High content screening comprising of not only electrophysiological characterization but also cellular molecular alterations are...

Cite
Strigun A, Wahrheit J, Beckers S, et al. Metabolic profiling using HPLC allows classification of drugs according to their mechanisms of action in HL-1 cardiomyocytes. Toxicol Appl Pharmacol. 2011;252(2):183-91doi: 10.1016/j.taap.2011.02.008.
Strigun, A., Wahrheit, J., Beckers, S., Heinzle, E., & Noor, F. (2011). Metabolic profiling using HPLC allows classification of drugs according to their mechanisms of action in HL-1 cardiomyocytes. Toxicology and applied pharmacology, 252(2), 183-91. https://doi.org/10.1016/j.taap.2011.02.008
Strigun, Alexander, et al. "Metabolic profiling using HPLC allows classification of drugs according to their mechanisms of action in HL-1 cardiomyocytes." Toxicology and applied pharmacology vol. 252,2 (2011): 183-91. doi: https://doi.org/10.1016/j.taap.2011.02.008
Strigun A, Wahrheit J, Beckers S, Heinzle E, Noor F. Metabolic profiling using HPLC allows classification of drugs according to their mechanisms of action in HL-1 cardiomyocytes. Toxicol Appl Pharmacol. 2011 Apr 15;252(2):183-91. doi: 10.1016/j.taap.2011.02.008. Epub 2011 Feb 12. PMID: 21320520.
Copy Download .nbib Format: NLM
Most prescribed pharmaceuticals.

Modern healthcare

[No authors listed]
PMID: 24044238
Mod Healthc. 2013 Jul 15;43(28):34.

No abstract available.

Cite
Most prescribed pharmaceuticals. Mod Healthc. 2013;43(28):34
(2013). Most prescribed pharmaceuticals. Modern healthcare, 43(28), 34.
"Most prescribed pharmaceuticals." Modern healthcare vol. 43,28 (2013): 34.
Most prescribed pharmaceuticals. Mod Healthc. 2013 Jul 15;43(28):34. PMID: 24044238.
Copy Download .nbib Format: NLM
Seven therapeutic categories account for most drug cost increases.

Managed care (Langhorne, Pa.)

[No authors listed]
PMID: 22259880
Manag Care. 2011 Dec;20(12):69.

No abstract available.

Cite
Seven therapeutic categories account for most drug cost increases. Manag Care. 2011;20(12):69
(2011). Seven therapeutic categories account for most drug cost increases. Managed care (Langhorne, Pa.), 20(12), 69.
"Seven therapeutic categories account for most drug cost increases." Managed care (Langhorne, Pa.) vol. 20,12 (2011): 69.
Seven therapeutic categories account for most drug cost increases. Manag Care. 2011 Dec;20(12):69. PMID: 22259880.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 12 entries