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Metabolomics in the pharmaceutical industry.

Drug discovery today. Technologies

Reily MD, Tymiak AA.
PMID: 26190680
Drug Discov Today Technol. 2015 Jun;13:25-31. doi: 10.1016/j.ddtec.2015.03.001. Epub 2015 Apr 01.

Metabolomics has roots in the pharmaceutical industry that go back nearly three decades. Initially focused on applications in toxicology and disease pathology, more recent academic and commercial efforts have helped advance metabolomics as a tool to reveal the molecular...

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Reily MD, Tymiak AA. Metabolomics in the pharmaceutical industry. Drug Discov Today Technol. 2015;13:25-31doi: 10.1016/j.ddtec.2015.03.001.
Reily, M. D., & Tymiak, A. A. (2015). Metabolomics in the pharmaceutical industry. Drug discovery today. Technologies, 1325-31. https://doi.org/10.1016/j.ddtec.2015.03.001
Reily, Michael D, and Tymiak, Adrienne A. "Metabolomics in the pharmaceutical industry." Drug discovery today. Technologies vol. 13 (2015): 25-31. doi: https://doi.org/10.1016/j.ddtec.2015.03.001
Reily MD, Tymiak AA. Metabolomics in the pharmaceutical industry. Drug Discov Today Technol. 2015 Jun;13:25-31. doi: 10.1016/j.ddtec.2015.03.001. Epub 2015 Apr 01. PMID: 26190680.
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Technical Advances in Medicinal Chemistry.

ACS combinatorial science

Finn MG.
PMID: 28374995
ACS Comb Sci. 2017 May 08;19(5):277-278. doi: 10.1021/acscombsci.7b00053. Epub 2017 Apr 04.

No abstract available.

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Finn MG. Technical Advances in Medicinal Chemistry. ACS Comb Sci. 2017;19(5):277-278doi: 10.1021/acscombsci.7b00053.
Finn, M. G. (2017). Technical Advances in Medicinal Chemistry. ACS combinatorial science, 19(5), 277-278. https://doi.org/10.1021/acscombsci.7b00053
Finn, M G. "Technical Advances in Medicinal Chemistry." ACS combinatorial science vol. 19,5 (2017): 277-278. doi: https://doi.org/10.1021/acscombsci.7b00053
Finn MG. Technical Advances in Medicinal Chemistry. ACS Comb Sci. 2017 May 08;19(5):277-278. doi: 10.1021/acscombsci.7b00053. Epub 2017 Apr 04. PMID: 28374995.
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Ian Tomlinson.

Nature reviews. Drug discovery

Tomlinson I.
PMID: 26893183
Nat Rev Drug Discov. 2016 Mar;15(3):154. doi: 10.1038/nrd.2016.22. Epub 2016 Feb 19.

No abstract available.

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Tomlinson I. Ian Tomlinson. Nat Rev Drug Discov. 2016;15(3):154doi: 10.1038/nrd.2016.22.
Tomlinson, I. (2016). Ian Tomlinson. Nature reviews. Drug discovery, 15(3), 154. https://doi.org/10.1038/nrd.2016.22
Tomlinson, Ian. "Ian Tomlinson." Nature reviews. Drug discovery vol. 15,3 (2016): 154. doi: https://doi.org/10.1038/nrd.2016.22
Tomlinson I. Ian Tomlinson. Nat Rev Drug Discov. 2016 Mar;15(3):154. doi: 10.1038/nrd.2016.22. Epub 2016 Feb 19. PMID: 26893183.
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Critical Role of Computer Simulations in Drug Discovery and Development.

Current topics in medicinal chemistry

Srivastava P, Tiwari A.
PMID: 28366137
Curr Top Med Chem. 2017;17(21):2422-2432. doi: 10.2174/1568026617666170403113541.

The last couple of decades has witnessed that an amalgamation of multidisciplinary branches of science come together in the form of 'Bioinformatics' and made a substantial impact on the drug designing process. The applicability of Bioinformatics approaches has been...

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Srivastava P, Tiwari A. Critical Role of Computer Simulations in Drug Discovery and Development. Curr Top Med Chem. 2017;17(21):2422-2432doi: 10.2174/1568026617666170403113541.
Srivastava, P., & Tiwari, A. (2017). Critical Role of Computer Simulations in Drug Discovery and Development. Current topics in medicinal chemistry, 17(21), 2422-2432. https://doi.org/10.2174/1568026617666170403113541
Srivastava, Prachi, and Tiwari, Anshul. "Critical Role of Computer Simulations in Drug Discovery and Development." Current topics in medicinal chemistry vol. 17,21 (2017): 2422-2432. doi: https://doi.org/10.2174/1568026617666170403113541
Srivastava P, Tiwari A. Critical Role of Computer Simulations in Drug Discovery and Development. Curr Top Med Chem. 2017;17(21):2422-2432. doi: 10.2174/1568026617666170403113541. PMID: 28366137.
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Editorial: Getting the Whole Picture, Seeing the Trees and the Forest.

Combinatorial chemistry & high throughput screening

Flotow H.
PMID: 27364614
Comb Chem High Throughput Screen. 2016;19(6):430. doi: 10.2174/138620731906160609160144.

No abstract available.

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Flotow H. Editorial: Getting the Whole Picture, Seeing the Trees and the Forest. Comb Chem High Throughput Screen. 2016;19(6):430doi: 10.2174/138620731906160609160144.
Flotow, H. (2016). Editorial: Getting the Whole Picture, Seeing the Trees and the Forest. Combinatorial chemistry & high throughput screening, 19(6), 430. https://doi.org/10.2174/138620731906160609160144
Flotow, Horst. "Editorial: Getting the Whole Picture, Seeing the Trees and the Forest." Combinatorial chemistry & high throughput screening vol. 19,6 (2016): 430. doi: https://doi.org/10.2174/138620731906160609160144
Flotow H. Editorial: Getting the Whole Picture, Seeing the Trees and the Forest. Comb Chem High Throughput Screen. 2016;19(6):430. doi: 10.2174/138620731906160609160144. PMID: 27364614.
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What does Pfizer's merger mean for drug development?.

Lancet (London, England)

Mullard A.
PMID: 26766335
Lancet. 2016 Jan 02;387(10013):14-5. doi: 10.1016/S0140-6736(15)01351-3.

No abstract available.

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Mullard A. What does Pfizer's merger mean for drug development?. Lancet. 2016;387(10013):14-5doi: 10.1016/S0140-6736(15)01351-3.
Mullard, A. (2016). What does Pfizer's merger mean for drug development?. Lancet (London, England), 387(10013), 14-5. https://doi.org/10.1016/S0140-6736(15)01351-3
Mullard, Asher. "What does Pfizer's merger mean for drug development?." Lancet (London, England) vol. 387,10013 (2016): 14-5. doi: https://doi.org/10.1016/S0140-6736(15)01351-3
Mullard A. What does Pfizer's merger mean for drug development?. Lancet. 2016 Jan 02;387(10013):14-5. doi: 10.1016/S0140-6736(15)01351-3. PMID: 26766335.
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X-ray crystallography over the past decade for novel drug discovery - where are we heading next?.

Expert opinion on drug discovery

Zheng H, Handing KB, Zimmerman MD, Shabalin IG, Almo SC, Minor W.
PMID: 26177814
Expert Opin Drug Discov. 2015;10(9):975-89. doi: 10.1517/17460441.2015.1061991. Epub 2015 Jul 15.

INTRODUCTION: Macromolecular X-ray crystallography has been the primary methodology for determining the three-dimensional structures of proteins, nucleic acids and viruses. Structural information has paved the way for structure-guided drug discovery and laid the foundations for structural bioinformatics. However, X-ray...

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Zheng H, Handing KB, Zimmerman MD, et al. X-ray crystallography over the past decade for novel drug discovery - where are we heading next?. Expert Opin Drug Discov. 2015;10(9):975-89doi: 10.1517/17460441.2015.1061991.
Zheng, H., Handing, K. B., Zimmerman, M. D., Shabalin, I. G., Almo, S. C., & Minor, W. (2015). X-ray crystallography over the past decade for novel drug discovery - where are we heading next?. Expert opinion on drug discovery, 10(9), 975-89. https://doi.org/10.1517/17460441.2015.1061991
Zheng, Heping, et al. "X-ray crystallography over the past decade for novel drug discovery - where are we heading next?." Expert opinion on drug discovery vol. 10,9 (2015): 975-89. doi: https://doi.org/10.1517/17460441.2015.1061991
Zheng H, Handing KB, Zimmerman MD, Shabalin IG, Almo SC, Minor W. X-ray crystallography over the past decade for novel drug discovery - where are we heading next?. Expert Opin Drug Discov. 2015;10(9):975-89. doi: 10.1517/17460441.2015.1061991. Epub 2015 Jul 15. PMID: 26177814; PMCID: PMC4655606.
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Bringing together the academic drug discovery community.

Nature reviews. Drug discovery

Slusher BS, Conn PJ, Frye S, Glicksman M, Arkin M.
PMID: 24172316
Nat Rev Drug Discov. 2013 Nov;12(11):811-2. doi: 10.1038/nrd4155.

The newly formed Academic Drug Discovery Consortium (ADDC) aims to support the growing numbers of university centres engaged in drug discovery that have emerged in response to recent changes in the drug discovery ecosystem.

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Slusher BS, Conn PJ, Frye S, et al. Bringing together the academic drug discovery community. Nat Rev Drug Discov. 2013;12(11):811-2doi: 10.1038/nrd4155.
Slusher, B. S., Conn, P. J., Frye, S., Glicksman, M., & Arkin, M. (2013). Bringing together the academic drug discovery community. Nature reviews. Drug discovery, 12(11), 811-2. https://doi.org/10.1038/nrd4155
Slusher, Barbara S, et al. "Bringing together the academic drug discovery community." Nature reviews. Drug discovery vol. 12,11 (2013): 811-2. doi: https://doi.org/10.1038/nrd4155
Slusher BS, Conn PJ, Frye S, Glicksman M, Arkin M. Bringing together the academic drug discovery community. Nat Rev Drug Discov. 2013 Nov;12(11):811-2. doi: 10.1038/nrd4155. PMID: 24172316; PMCID: PMC4076044.
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Clinical trials and drug development.

Cancer control : journal of the Moffitt Cancer Center

Mahipal A.
PMID: 24955701
Cancer Control. 2014 Jul;21(3):188-9. doi: 10.1177/107327481402100301.

No abstract available.

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Mahipal A. Clinical trials and drug development. Cancer Control. 2014;21(3):188-9doi: 10.1177/107327481402100301.
Mahipal, A. (2014). Clinical trials and drug development. Cancer control : journal of the Moffitt Cancer Center, 21(3), 188-9. https://doi.org/10.1177/107327481402100301
Mahipal, Amit. "Clinical trials and drug development." Cancer control : journal of the Moffitt Cancer Center vol. 21,3 (2014): 188-9. doi: https://doi.org/10.1177/107327481402100301
Mahipal A. Clinical trials and drug development. Cancer Control. 2014 Jul;21(3):188-9. doi: 10.1177/107327481402100301. PMID: 24955701.
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Embedding sustainable practices into pharmaceutical R&D: what are the challenges?.

Future medicinal chemistry

Sneddon H.
PMID: 25329193
Future Med Chem. 2014;6(12):1373-6. doi: 10.4155/fmc.14.91.

No abstract available.

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Sneddon H. Embedding sustainable practices into pharmaceutical R&D: what are the challenges?. Future Med Chem. 2014;6(12):1373-6doi: 10.4155/fmc.14.91.
Sneddon, H. (2014). Embedding sustainable practices into pharmaceutical R&D: what are the challenges?. Future medicinal chemistry, 6(12), 1373-6. https://doi.org/10.4155/fmc.14.91
Sneddon, Helen. "Embedding sustainable practices into pharmaceutical R&D: what are the challenges?." Future medicinal chemistry vol. 6,12 (2014): 1373-6. doi: https://doi.org/10.4155/fmc.14.91
Sneddon H. Embedding sustainable practices into pharmaceutical R&D: what are the challenges?. Future Med Chem. 2014;6(12):1373-6. doi: 10.4155/fmc.14.91. PMID: 25329193.
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Collaboration between academia and pharma to bring new therapies to market more important than ever.

The American journal of managed care

Caffrey MK.
PMID: 25764579
Am J Manag Care. 2014 Feb;20(2):E14.

No abstract available.

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Caffrey MK. Collaboration between academia and pharma to bring new therapies to market more important than ever. Am J Manag Care. 2014;20(2):E14
Caffrey, M. K. (2014). Collaboration between academia and pharma to bring new therapies to market more important than ever. The American journal of managed care, 20(2), E14.
Caffrey, Mary K. "Collaboration between academia and pharma to bring new therapies to market more important than ever." The American journal of managed care vol. 20,2 (2014): E14.
Caffrey MK. Collaboration between academia and pharma to bring new therapies to market more important than ever. Am J Manag Care. 2014 Feb;20(2):E14. PMID: 25764579.
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Support vector machines for drug discovery.

Expert opinion on drug discovery

Heikamp K, Bajorath J.
PMID: 24304044
Expert Opin Drug Discov. 2014 Jan;9(1):93-104. doi: 10.1517/17460441.2014.866943. Epub 2013 Dec 05.

INTRODUCTION: Support vector machines (SVMs) are supervised machine learning algorithms for binary class label prediction and regression-based prediction of property values. In recent years, SVMs have become increasingly popular for drug discovery-relevant applications such as compound classification, the search...

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Heikamp K, Bajorath J. Support vector machines for drug discovery. Expert Opin Drug Discov. 2013;9(1):93-104doi: 10.1517/17460441.2014.866943.
Heikamp, K., & Bajorath, J. (2014). Support vector machines for drug discovery. Expert opinion on drug discovery, 9(1), 93-104. https://doi.org/10.1517/17460441.2014.866943
Heikamp, Kathrin, and Bajorath, Jürgen. "Support vector machines for drug discovery." Expert opinion on drug discovery vol. 9,1 (2014): 93-104. doi: https://doi.org/10.1517/17460441.2014.866943
Heikamp K, Bajorath J. Support vector machines for drug discovery. Expert Opin Drug Discov. 2014 Jan;9(1):93-104. doi: 10.1517/17460441.2014.866943. Epub 2013 Dec 05. PMID: 24304044.
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Showing 25 to 36 of 705 entries