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Journal articles on the topic 'Drug discovery process'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

KUWASHIMA, Kenichi. "Drug Discovery Process." Annals of Business Administrative Science 15, no. 3 (2016): 129–38. http://dx.doi.org/10.7880/abas.0160224a.

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Amrutkar, Shraddha P., Paresh A. Patil, and Rajshri S. Patel. "Review on modern drug discovery process." Research Journal of Pharmacology and Pharmacodynamics 12, no. 3 (2020): 137. http://dx.doi.org/10.5958/2321-5836.2020.00025.7.

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3

Stevens, Robert, Robin McEntire, Carole Goble, et al. "myGrid and the drug discovery process." Drug Discovery Today: BIOSILICO 2, no. 4 (2004): 140–48. http://dx.doi.org/10.1016/s1741-8364(04)02412-6.

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4

BAUM, RUDY. "Fledgling firm targets drug discovery process." Chemical & Engineering News 68, no. 10 (1990): 10–11. http://dx.doi.org/10.1021/cen-v068n010.p010.

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5

Krantz, Allen. "Diversification of the drug discovery process." Nature Biotechnology 16, no. 13 (1998): 1294. http://dx.doi.org/10.1038/4243.

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6

Trist, David G. "Scientific process, pharmacology and drug discovery." Current Opinion in Pharmacology 11, no. 5 (2011): 528–33. http://dx.doi.org/10.1016/j.coph.2011.05.008.

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7

Pedreira, Júlia G. B., Lucas S. Franco, and Eliezer J. Barreiro. "Chemical Intuition in Drug Design and Discovery." Current Topics in Medicinal Chemistry 19, no. 19 (2019): 1679–93. http://dx.doi.org/10.2174/1568026619666190620144142.

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The medicinal chemist plays the most important role in drug design, discovery and development. The primary goal is to discover leads and optimize them to develop clinically useful drug candidates. This process requires the medicinal chemist to deal with large sets of data containing chemical descriptors, pharmacological data, pharmacokinetics parameters, and in silico predictions. The modern medicinal chemist has a large number of tools and technologies to aid him in creating strategies and supporting decision-making. Alongside with these tools, human cognition, experience and creativity are f

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8

Li, Juan, Ranjana Sharma, and Yan Bai. "Discovering Complex Relationships of Drugs over Distributed Knowledgebases." International Journal of Distributed Systems and Technologies 5, no. 1 (2014): 22–39. http://dx.doi.org/10.4018/ijdst.2014010102.

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Drug discovery is a lengthy, expensive and difficult process. Indentifying and understanding the hidden relationships among drugs, genes, proteins, and diseases will expedite the process of drug discovery. In this paper, we propose an effective methodology to discover drug-related semantic relationships over large-scale distributed web data in medicine, pharmacology and biotechnology. By utilizing semantic web and distributed system technologies, we developed a novel hierarchical knowledge abstraction and an efficient relation discovery protocol. Our approach effectively facilitates the realiz

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Peters, Jens-Uwe, Jérôme Hert, Caterina Bissantz, et al. "Can we discover pharmacological promiscuity early in the drug discovery process?" Drug Discovery Today 17, no. 7-8 (2012): 325–35. http://dx.doi.org/10.1016/j.drudis.2012.01.001.

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Barrawaz, Aateka Y. "COMPUTER AIDED DRUG DESIGN: A MINI-REVIEW." Journal of Medical Pharmaceutical And Allied Sciences 9, no. 5 (2020): 2584–91. http://dx.doi.org/10.22270/jmpas.v9i5.971.

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New drug discovery and development process is considered much complex process which is time consuming and resources accommodating too. So computer aided drug design are being broadly used to enhance the effectiveness of the drug discovery and development process which ultimately saves time and resources. Various approaches to Computer aided drug design are evaluated to shows potential techniques in accordance with their needs. Two approaches are considered to designing of drug first one is structure-based and second one is Ligand based drug designs. In this review, we are discussing about high

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11

Bellott, Emile M., Robert Bondaryk, and Ann L. Luther. "Combinatorial Chemistry in the Drug Discovery Process." Clinical Research and Regulatory Affairs 14, no. 3-4 (1997): 231–41. http://dx.doi.org/10.3109/10601339709080081.

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12

Fay, Nicolas, and Dirk Ullmann. "Leveraging process integration in early drug discovery." Drug Discovery Today 7, no. 20 (2002): s181—s186. http://dx.doi.org/10.1016/s1359-6446(02)02439-x.

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13

Kramer, David. "Consortium aims to accelerate drug discovery process." Physics Today 71, no. 1 (2018): 27–29. http://dx.doi.org/10.1063/pt.3.3814.

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14

Calderone, Richard, Nuo Sun, Francoise Gay-Andrieu, et al. "Antifungal drug discovery: the process and outcomes." Future Microbiology 9, no. 6 (2014): 791–805. http://dx.doi.org/10.2217/fmb.14.32.

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15

Nicolaou, K. C. "Advancing the Drug Discovery and Development Process." Angewandte Chemie 126, no. 35 (2014): 9280–92. http://dx.doi.org/10.1002/ange.201404761.

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16

Nicolaou, K. C. "Advancing the Drug Discovery and Development Process." Angewandte Chemie International Edition 53, no. 35 (2014): 9128–40. http://dx.doi.org/10.1002/anie.201404761.

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17

Weinmann, Hilmar, and Rainer Metternich. "Editorial: Drug Discovery Process for Kinease Inhibitors." ChemBioChem 6, no. 3 (2005): 455–59. http://dx.doi.org/10.1002/cbic.200500034.

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18

Ciura, Krzesimir, Szymon Dziomba, Joanna Nowakowska, and Michał J. Markuszewski. "Thin layer chromatography in drug discovery process." Journal of Chromatography A 1520 (October 2017): 9–22. http://dx.doi.org/10.1016/j.chroma.2017.09.015.

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19

Williams, Michael. "Receptor Binding in the Drug Discovery Process." Medicinal Research Reviews 11, no. 2 (1991): 147–84. http://dx.doi.org/10.1002/j.1098-1128.1991.tb00002.x.

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20

Bertrand, Marc, Peter Jackson, and Bernard Walther. "Rapid assessment of drug metabolism in the drug discovery process." European Journal of Pharmaceutical Sciences 11 (October 2000): S61—S72. http://dx.doi.org/10.1016/s0928-0987(00)00165-2.

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21

., Sahoo Biswa Mohan, Dinda S. C. ., Ravi Kumar B. V. V. ., and Panda J. R. . "Computational Approaches for Drug Design and Discovery Process." Journal of Current Pharma Research 2, no. 3 (2012): 600–611. http://dx.doi.org/10.33786/jcpr.2012.v02i03.015.

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22

Deore, Amol B., Jayprabha R. Dhumane, Rushikesh Wagh, and Rushikesh Sonawane. "The Stages of Drug Discovery and Development Process." Asian Journal of Pharmaceutical Research and Development 7, no. 6 (2019): 62–67. http://dx.doi.org/10.22270/ajprd.v7i6.616.

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Drug discovery is a process which aims at identifying a compound therapeutically useful in curing and treating disease. This process involves the identification of candidates, synthesis, characterization, validation, optimization, screening and assays for therapeutic efficacy. Once a compound has shown its significance in these investigations, it will initiate the process of drug development earlier to clinical trials. New drug development process must continue through several stages in order to make a medicine that is safe, effective, and has approved all regulatory requirements. One overall

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23

Long, Karen L. "The Discovery Process in Drug Use Testing Litigation." Journal of Forensic Sciences 34, no. 6 (1989): 12788J. http://dx.doi.org/10.1520/jfs12788j.

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24

Gelbert, Lawrence M., and Richard E. Gregg. "Will genetics really revolutionize the drug discovery process?" Current Opinion in Biotechnology 8, no. 6 (1997): 669–74. http://dx.doi.org/10.1016/s0958-1669(97)80117-6.

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25

Letrado, Patricia, Irene de Miguel, Iranzu Lamberto, Roberto Díez-Martínez, and Julen Oyarzabal. "Zebrafish: Speeding Up the Cancer Drug Discovery Process." Cancer Research 78, no. 21 (2018): 6048–58. http://dx.doi.org/10.1158/0008-5472.can-18-1029.

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26

RATHBONE, D. "Molecularly imprinted polymers in the drug discovery process." Advanced Drug Delivery Reviews 57, no. 12 (2005): 1854–74. http://dx.doi.org/10.1016/j.addr.2005.07.017.

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27

Sirois, Suzanne, and L. Martin Cloutier. "Needed: system dynamics for the drug discovery process." Drug Discovery Today 13, no. 15-16 (2008): 708–15. http://dx.doi.org/10.1016/j.drudis.2008.04.003.

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28

Festel, Gunter. "Outsourcing chemical synthesis in the drug discovery process." Drug Discovery Today 16, no. 5-6 (2011): 237–43. http://dx.doi.org/10.1016/j.drudis.2011.01.002.

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29

Bacilieri, Magdalena, and Stefano Moro. "Ligand-Based Drug Design Methodologies in Drug Discovery Process: An Overview." Current Drug Discovery Technologies 3, no. 3 (2006): 155–65. http://dx.doi.org/10.2174/157016306780136781.

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30

Parvathaneni, Vineela, Nishant S. Kulkarni, Aaron Muth, and Vivek Gupta. "Drug repurposing: a promising tool to accelerate the drug discovery process." Drug Discovery Today 24, no. 10 (2019): 2076–85. http://dx.doi.org/10.1016/j.drudis.2019.06.014.

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31

Belfield, G. P., and S. J. Delaney. "The impact of molecular biology on drug discovery." Biochemical Society Transactions 34, no. 2 (2006): 313–16. http://dx.doi.org/10.1042/bst0340313.

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The discipline of molecular biology has become increasingly important in recent times for the process of drug discovery. We describe the impact of molecular biology across the whole process of drug discovery and development, including (i) the identification and validation of new drug targets, (ii) the development of molecular screens to find new candidate drugs, and (iii) the generation of safety data and competences leading to enhanced clinical efficacy. We also speculate on emerging developments in drug discovery where it seems likely that molecular biology will play an even more vital role

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32

Alehaideb, Zeyad, Nimer Mehyar, Mai Al Ajaji, et al. "KAIMRC’S Second Therapeutics Discovery Conference." Proceedings 43, no. 1 (2020): 6. http://dx.doi.org/10.3390/proceedings2020043006.

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Following the success of our first therapeutic discovery conference in 2017 and the selection of King Abdullah International Medical Research Centre (KAIMRC) as the first Phase 1 clinical site in the Kingdom of Saudi Arabia, we organized our second conference in partnership with leading institutions in academic drug discovery, which included the Structural Genomic Constorium (Oxford, UK), Fraunhofer (Germany) and Institute Material Medica (China); the participation of members of the American Drug Discovery Consterium; European Biotech companies; and local pharma companies, SIPMACO and SudairPh

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33

Brown, David G., and Elizabeth J. Shotton. "Diamond: shedding light on structure-based drug discovery." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373, no. 2036 (2015): 20140468. http://dx.doi.org/10.1098/rsta.2014.0468.

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Structure-based drug design has become a key tool for the development of novel drugs. The process involves elucidating the three-dimensional structure of the potential drug molecule bound to the target protein that has been identified as playing a key role in the disease state. Using this three-dimensional information facilitates the process of making improvements to the potential drug molecule by highlighting existing and possible new interactions within the binding site. This knowledge is used to inform increases in potency and selectivity of the molecules as well as to help improve other dr

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34

Holdgate, Geoffrey, Kevin Embrey, Alexander Milbradt, and Gareth Davies. "Biophysical methods in early drug discovery." ADMET and DMPK 7, no. 4 (2019): 222–41. http://dx.doi.org/10.5599/admet.733.

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Biophysical methods such as mass spectrometry, surface plasmon resonance, nuclear magnetic resonance, and both differential scanning isothermal titration calorimetry are now well established as key components of the early drug discovery process. These approaches are used successfully for a range of activities, including assay development, primary screening, hit confirmation and detailed mechanistic characterisation of compound binding. Matching the speed, sensitivity and information content of the various techniques to the generation of critical data and information required at each phase of t

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35

Gao, Qingzhi, Lulu Yang, and Yongqiang Zhu. "Pharmacophore Based Drug Design Approach as a Practical Process in Drug Discovery." Current Computer Aided-Drug Design 6, no. 1 (2010): 37–49. http://dx.doi.org/10.2174/157340910790980151.

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36

Leelananda, Sumudu P., and Steffen Lindert. "Computational methods in drug discovery." Beilstein Journal of Organic Chemistry 12 (December 12, 2016): 2694–718. http://dx.doi.org/10.3762/bjoc.12.267.

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The process for drug discovery and development is challenging, time consuming and expensive. Computer-aided drug discovery (CADD) tools can act as a virtual shortcut, assisting in the expedition of this long process and potentially reducing the cost of research and development. Today CADD has become an effective and indispensable tool in therapeutic development. The human genome project has made available a substantial amount of sequence data that can be used in various drug discovery projects. Additionally, increasing knowledge of biological structures, as well as increasing computer power ha

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37

Alam, Fahmida, Md Asiful Islam, Mohammad Amjad Kamal, and Siew Hua Gan. "Updates on Managing Type 2 Diabetes Mellitus with Natural Products: Towards Antidiabetic Drug Development." Current Medicinal Chemistry 25, no. 39 (2019): 5395–431. http://dx.doi.org/10.2174/0929867323666160813222436.

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Over the years, natural products have shown success as antidiabetics in in vitro, in vivo studies and clinical trials. Because natural product-derived drugs are more affordable and effective with fewer side-effects compared to conventional therapies, pharmaceutical research is increasingly leaning towards the discovery of new antidiabetic drugs from natural products targeting pathways or components associated with type 2 diabetes mellitus (T2DM) pathophysiology. However, the drug discovery process is very lengthy and costly with significant challenges. Therefore, various techniques are current

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38

Chin, D., C. Chuaqui, and J. Singh. "Integration of Virtual Screening into the Drug Discovery Process." Mini-Reviews in Medicinal Chemistry 4, no. 10 (2004): 1053–65. http://dx.doi.org/10.2174/1389557043403044.

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39

WILLIAMS, M. "ChemInform Abstract: Receptor Binding in the Drug Discovery Process." ChemInform 22, no. 26 (2010): no. http://dx.doi.org/10.1002/chin.199126314.

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40

Ilyin, Sergey E., Daniel Horowitz, Stanley M. Belkowski, et al. "Integrated expressional analysis: Application to the drug discovery process." Methods 37, no. 3 (2005): 280–88. http://dx.doi.org/10.1016/j.ymeth.2005.03.013.

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41

Hillisch, Alexander, Luis Felipe Pineda, and Rolf Hilgenfeld. "Utility of homology models in the drug discovery process." Drug Discovery Today 9, no. 15 (2004): 659–69. http://dx.doi.org/10.1016/s1359-6446(04)03196-4.

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42

Zhang, Juan, Gregor McCombie, Christian Guenat, and Richard Knochenmuss. "FT-ICR mass spectrometry in the drug discovery process." Drug Discovery Today 10, no. 9 (2005): 635–42. http://dx.doi.org/10.1016/s1359-6446(05)03438-0.

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43

von Korff, Modest, Christian Rufener, Manuel Stritt, Joel Freyss, Roman Bär, and Thomas Sander. "Integration of distributed computing into the drug discovery process." Expert Opinion on Drug Discovery 6, no. 2 (2010): 103–7. http://dx.doi.org/10.1517/17460441.2011.538046.

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44

Augen, Jeffrey. "Bioinformatics and information technology: reshaping the drug discovery process." Drug Discovery Today 7, no. 11 (2002): S39—S40. http://dx.doi.org/10.1016/s1359-6446(02)02187-6.

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45

Dufort, S., L. Sancey, C. Wenk, V. Josserand, and J. L. Coll. "Optical small animal imaging in the drug discovery process." Biochimica et Biophysica Acta (BBA) - Biomembranes 1798, no. 12 (2010): 2266–73. http://dx.doi.org/10.1016/j.bbamem.2010.03.016.

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46

Harris, C. John, and Adrian P. Stevens. "Chemogenomics: structuring the drug discovery process to gene families." Drug Discovery Today 11, no. 19-20 (2006): 880–88. http://dx.doi.org/10.1016/j.drudis.2006.08.013.

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47

PHAM, Quan Minh, and Long Quoc PHAM. "VIRTUAL SCREENING STATEGIES IN DRUG DISCOVERY – A BRIEF OVERVIEW." Vietnam Journal of Science and Technology 59, no. 4 (2021): 415. http://dx.doi.org/10.15625/2525-2518/59/4/16003.

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Computer-aided drug design has now become a compulsory tool in the drug discovery and development process which uses computational approaches to discover potential compounds with expected biological activities. Firstly, this review provides a comprehensive introduction of the virtual screening technique, knowledge and advances in both SBVS and LBVS strategies also presented. Secondly, recent database of compounds provided worldwide and drug-like parameters which are helpful in supporting the VS process will be discussed. These information will provides a good platform to estimate the advance o

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48

Verkman, A. S. "Drug discovery in academia." American Journal of Physiology-Cell Physiology 286, no. 3 (2004): C465—C474. http://dx.doi.org/10.1152/ajpcell.00397.2003.

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Drug discovery and development is generally done in the commercial rather than the academic realm. Drug discovery involves target discovery and validation, lead identification by high-throughput screening, and lead optimization by medicinal chemistry. Follow-up preclinical evaluation includes analysis in animal models of compound efficacy and pharmacology (ADME: administration, distribution, metabolism, elimination) and studies of toxicology, specificity, and drug interactions. Notwithstanding the high-cost, labor-intensive, and non-hypothesis-driven aspects of drug discovery, the academic set

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49

Chatelain, Eric. "Chagas Disease Drug Discovery." Journal of Biomolecular Screening 20, no. 1 (2014): 22–35. http://dx.doi.org/10.1177/1087057114550585.

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American trypanosomiasis, or Chagas disease, is the result of infection by the Trypanosoma cruzi parasite. Endemic in Latin America where it is the major cause of death from cardiomyopathy, the impact of the disease is reaching global proportions through migrating populations. New drugs that are safe, efficacious, low cost, and adapted to the field are critically needed. Over the past five years, there has been increased interest in the disease and a surge in activities within various organizations. However, recent clinical trials with azoles, specifically posaconazole and the ravuconazole pro

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50

Jones, PS. "Strategies for Antiviral Drug Discovery." Antiviral Chemistry and Chemotherapy 9, no. 4 (1998): 1–20. http://dx.doi.org/10.1177/095632029800900401.

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The need for antiviral drugs is growing rapidly as more viral diseases are recognized. The methods used to discover these drugs have evolved considerably over the past 40 years and the overall process of discovery can be broken down into sub-processes which include lead generation, lead optimization and lead development. Various methods are now employed to ensure these processes are carried out efficiently. For lead generation, screening methodologies have developed to the extent where hundreds of thousands of compounds can be screened against a particular target. An alternative approach is to

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