Log in

Relevant bibliographies by topics / Drug discovery / Journal articles

To see the other types of publications on this topic, follow the link: Drug discovery.

Journal articles on the topic 'Drug discovery'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Drug discovery.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Aziz Ahmad, Kashif, Saleha Akram Nizami, and Muhammad Haroon Ghous. "Coronavirus - Drug Discovery and Therapeutic Drug Monitoring Options." Pharmaceutics and Pharmacology Research 5, no. 2 (2022): 01–04. http://dx.doi.org/10.31579/2693-7247/044.

Full text

Abstract:

COVID-19 is basically a medium size RNA virus and the nucleic acid is about 30 kb long, positive in sense, single stranded and polyadenylated. The RNA which is found in this virus is the largest known RNA and codes for a large polyprotein. In addition, coronaviruses are capable of genetic recombination if 2 viruses infect the same cell at the same time. SARS-CoV emerged first in southern China and rapidly spread around the globe in 2002–2003. In November 2002, an unusual epidemic of atypical pneumonia with a high rate of nosocomial transmission to health-care workers occurred in Foshan, Guangd

APA, Harvard, Vancouver, ISO, and other styles

2

Kaur, Navneet, Mymoona Akhter, and Chhavi Singla. "Drug designing: Lifeline for the drug discovery and development process." Research Journal of Chemistry and Environment 26, no. 8 (2022): 173–79. http://dx.doi.org/10.25303/2608rjce1730179.

Full text

Abstract:

Drug discovery and development field has entered into a revolutionary phase with the introduction of Computer Aided Drug Designing (CADD) tools in the designing and development of new drugs. Traditional drug discovery and designing is a tedious, expensive and time-consuming process. Pharmaceutical industries spend billions of dollars to launch a potential drug candidate into the drug market. It takes 15-20 years of research to discover a new drug candidate. The advancements in the Computer Aided Drug Designing techniques have significantly contributed towards lowering the cost and time involve

APA, Harvard, Vancouver, ISO, and other styles

3

Jadhav, Mr Gahininath Thansing, and Mr Rahul Bhavlal Jadhav. "Drug Discovery and Development Process." International Journal of Research Publication and Reviews 5, no. 1 (2024): 1891–95. http://dx.doi.org/10.55248/gengpi.5.0124.0225.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Sharma, Bhavik. "DRUG DISCOVERY AND DEVELOPMENT: AN OVERVIEW." INDIAN RESEARCH JOURNAL OF PHARMACY AND SCIENCE 7, no. 2 (2020): 2215–26. http://dx.doi.org/10.21276/irjps.2020.7.2.14.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Siddharthan, N., M. Raja Prabu, and B. Sivasankari. "Bioinformatics in Drug Discovery a Revi." International Journal of Research in Arts and Science 2, no. 2 (2016): 11–13. http://dx.doi.org/10.9756/ijras.8099.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Parkhill, Susannah L., and Eachan O. Johnson. "Integrating bacterial molecular genetics with chemical biology for renewed antibacterial drug discovery." Biochemical Journal 481, no. 13 (2024): 839–64. http://dx.doi.org/10.1042/bcj20220062.

Full text

Abstract:

The application of dyes to understanding the aetiology of infection inspired antimicrobial chemotherapy and the first wave of antibacterial drugs. The second wave of antibacterial drug discovery was driven by rapid discovery of natural products, now making up 69% of current antibacterial drugs. But now with the most prevalent natural products already discovered, ∼107 new soil-dwelling bacterial species must be screened to discover one new class of natural product. Therefore, instead of a third wave of antibacterial drug discovery, there is now a discovery bottleneck. Unlike natural products wh

APA, Harvard, Vancouver, ISO, and other styles

7

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

9

Antonelli, Alessandro. "Drug Discovery." Current Pharmaceutical Design 28, no. 3 (2022): 179. http://dx.doi.org/10.2174/1381612828666220103172626.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Kennedy, D. "Drug Discovery." Science 303, no. 5665 (2004): 1729. http://dx.doi.org/10.1126/science.303.5665.1729.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

MULLIN, RICK. "DRUG DISCOVERY." Chemical & Engineering News Archive 82, no. 30 (2004): 23–32. http://dx.doi.org/10.1021/cen-v082n030.p023.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

BRENNAN, MAIRIN B. "Drug Discovery." Chemical & Engineering News 78, no. 23 (2000): 63–73. http://dx.doi.org/10.1021/cen-v078n023.p063.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

MULLIN, RICK. "DRUG DISCOVERY." Chemical & Engineering News Archive 81, no. 30 (2003): 21–31. http://dx.doi.org/10.1021/cen-v081n030.p021.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Pinnock, Rob. "Drug discovery." New Scientist 194, no. 2600 (2007): 20. http://dx.doi.org/10.1016/s0262-4079(07)60976-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Nikolova, Stoyanka. "Drug Discovery." Applied Sciences 13, no. 22 (2023): 12378. http://dx.doi.org/10.3390/app132212378.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Glew, Robert H. "Drug discovery and development, Vol. 1: Drug discovery." Biochemistry and Molecular Biology Education 35, no. 2 (2007): 162. http://dx.doi.org/10.1002/bmb.38.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Chopra, Hitesh, Sandeep Kumar, Vandana ., and Sandeep Arora. "Pharmacogenomics: Applications in Drug Discovery and Pharmacotherapy." Journal of Pharmaceutical Technology, Research and Management 2, no. 1 (2014): 47–60. http://dx.doi.org/10.15415/jptrm.2014.21004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Badola, Ashutosh, Sakshi Negi, and Preeti Kothiyal. "Bioanalysis: An Important Tool in Drug Discovery." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 1273–79. http://dx.doi.org/10.31142/ijtsrd14187.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Ahmed, Manal Hatem, Saja Ismail Karkush, Sumeia Abbas Ali, and Ali Abdulmawjood Mohammed. "Phytochemicals: a new arsenal in drug discovery." International Journal of Medical Science and Dental Health 10, no. 01 (2024): 29–44. http://dx.doi.org/10.55640/ijmsdh-10-01-03.

Full text

Abstract:

In ancient times traditional herbs were used to treat different diseases such as stomach discomfort, toothache, body pain and inflammation, diarrhea, malaria, typhoid, diabetes, and so on. Medicinally important plants are recognized to have chemicals or phytochemicals that could be useful for illness treatment or medication manufacture. These compounds occur naturally in plant parts (leaves, stems, barks, and roots) and are referred to as secondary metabolites because, like primary metabolites, they are synthesized to protect the plant rather than for growth. Fortunately for humans, the majori

APA, Harvard, Vancouver, ISO, and other styles

20

Bhusare, Shubham, Ms Dipmala Ghorpade, and Dr Gajanan Sanap. "Artificial Intelligence in Drug Discovery and Development." International Journal of Research Publication and Reviews 6, no. 1 (2025): 1096–106. https://doi.org/10.55248/gengpi.6.0125.0307.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

JIMÉNEZ-DÍAZ, MARÍA BELÉN, SARA VIERA, ELENA FERNÁNDEZ-ALVARO, and IÑIGO ANGULO-BARTUREN. "Animal models of efficacy to accelerate drug discovery in malaria." Parasitology 141, no. 1 (2013): 93–103. http://dx.doi.org/10.1017/s0031182013000991.

Full text

Abstract:

SUMMARYThe emergence of resistance to artemisinins and the renewed efforts to eradicate malaria demand the urgent development of new drugs. In this endeavour, the evaluation of efficacy in animal models is often a go/no go decision assay in drug discovery. This important role relies on the capability of animal models to assess the disposition, toxicology and efficacy of drugs in a single test. Although the relative merits of each efficacy model of malaria as human surrogate have been extensively discussed, there are no critical analyses on the use of such models in current drug discovery. In t

APA, Harvard, Vancouver, ISO, and other styles

22

KIRBOĞA, Kevser Kübra, and Ecir KÜÇÜKSİLLE. "Bilgisayar Destekli İlaç Keşfi Üzerine Bakışlar." Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi 11, no. 2 (2022): 1. http://dx.doi.org/10.55007/dufed.1103457.

Full text

Abstract:

The drug development and discovery process are challenging, take 15 to 20 years, and require approximately 1.5-2 billion dollars, from the critical selection of the target molecule to post-clinical market application. Several computational drug design methods identify and optimize target biologically lead compounds. Given the complexity and cost of the drug discovery process in recent years, computer-assisted drug discovery (CADD) has spread over a broad spectrum. CADD methods support the discovery of target molecules, optimization of small target molecules, analysis, and development processes

APA, Harvard, Vancouver, ISO, and other styles

23

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

24

P.L.Sujatha, K.Anbu Kumar, P.Devendran, S.P.Preetha, and Manikkavasagan Ilangopathy3. "APPLICATION OF COMPUTATIONAL METHODS IN DRUG DISCOVERY." Indian Journal of Veterinary and Animal Sciences Research 53, no. 5 (2025): 1–8. https://doi.org/10.56093/ijvasr.v53i5.161975.

Full text

Abstract:

Rational drug design, is the inventive process of finding new medications based on knowledge of the biological target. Drug design involves the design of small molecules that are complementary in shape and charge to the bimolecular target to which they interact and therefore will bind to it. In the experiment based approach, drugs are discovered through trial and error. With high R&D cost and consumption, computational drug discovery helps scientists gain insight into drug receptor interactions and reduce time and cost. Scientists can predict whether the molecule will succeed or fail in th

APA, Harvard, Vancouver, ISO, and other styles

25

Jayaram, Saravanan, Emdormi Rymbai, Deepa Sugumar, and Divakar Selvaraj. "Drug Repurposing: A Paradigm Shift in Drug Discovery." INTERNATIONAL JOURNAL OF APPLIED PHARMACEUTICAL SCIENCES AND RESEARCH 5, no. 04 (2020): 60–68. http://dx.doi.org/10.21477/ijapsr.5.4.2.

Full text

Abstract:

The traditional methods of drug discovery and drug development are a tedious, complex, and costly process. Target identification, target validation; lead identification; and lead optimization are a lengthy and unreliable process that further complicates the discovery of new drugs. A study of more than 15 years reports that the success rate in the discovery of new drugs in the fields of ophthalmology, cardiovascular, infectious disease, and oncology to be 32.6%, 25.5%, 25.2% and 3.4%, respectively. A tedious and costly process coupled with a very low success rate makes the traditional drug disc

APA, Harvard, Vancouver, ISO, and other styles

26

Gomtsyan, A. "Heterocycles in drugs and drug discovery." Chemistry of Heterocyclic Compounds 48, no. 1 (2012): 7–10. http://dx.doi.org/10.1007/s10593-012-0960-z.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

M.P., Toraskar, Singasane N.S, Pichake J.B., and Vilasrao Kadam. "Fragment Based Drug Discovery - A Tool for Drug Discovery." International Journal of Drug Design and Discovery 4, no. 2 (2025): 1083–92. https://doi.org/10.37285/ijddd.4.2.7.

Full text

Abstract:

Since the early 1990s, several technological and scientific advances — such as combinatorial chemistry, high-throughput screening and the sequencing of the human genome — have been developed for discovery of new drug entity. However, the return on investment in terms of marketed products has not met expectations. Fragment-based drug design is another tool for drug discovery that has emerged in the past decade. The goal is to build drug leads in pieces, by identifying small molecular fragments and then either linking them or expanding them. Fragment-based drug design is a new approach that has

APA, Harvard, Vancouver, ISO, and other styles

28

Juliet Chiamaka Muoegbunam, Valerie Ezinne Nwankwo, Amarachukwu Ukamaka Onwuzuligbo, et al. "A review of nature’s pharmacy: Unveiling the sources, classes and therapeutic potentials of natural products in drug discovery." GSC Biological and Pharmaceutical Sciences 30, no. 3 (2025): 053–63. https://doi.org/10.30574/gscbps.2025.30.3.0075.

Full text

Abstract:

Natural products have been an important source of inspiration for the discovery of new drugs, with many successful drugs derived from natural sources. This review aims at providing an overview of the current state of natural products in drug discovery, highlighting their sources, classes, importance and therapeutic potentials. The findings of this review underscore the significant contribution of natural products in drug discovery with an ongoing stream of new compounds being discovered and developed into effective medicines. Furthermore, this review emphasizes the importance of natural produc

APA, Harvard, Vancouver, ISO, and other styles

29

Laddha, C. S., A. V. Shelke, Y. V. Vaidya, A. A. Sheikh, and K. R. Biyani. "A Review on Artificial Intellegence in Drug Discovery & Pharmaceutical Industry." Asian Journal of Pharmaceutical Research and Development 11, no. 3 (2023): 45–51. http://dx.doi.org/10.22270/ajprd.v11i3.1252.

Full text

Abstract:

Introduction: The use of artificial intelligence (AI) in drug discovery and the pharma industry has been rapidly expanding in recent years. AI algorithms can analyze vast amounts of data, identify patterns, and make predictions that can accelerate drug discovery and improve patient outcomes. Methods: AI is being used in various stages of the drug discovery process, from target identification and lead optimization to clinical trials and post-market surveillance. Machine learning algorithms, neural networks, and natural language processing are among the AI techniques used in drug discovery

APA, Harvard, Vancouver, ISO, and other styles

30

Meert, Theo F. "DRUG DISCRIMINATION IN DRUG DISCOVERY." Behavioural Pharmacology 10, SUPPLEMENT 1 (1999): S61. http://dx.doi.org/10.1097/00008877-199908001-00155.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

CASHMAN, J. "Drug discovery and drug metabolism." Drug Discovery Today 1, no. 5 (1996): 209–16. http://dx.doi.org/10.1016/1359-6446(96)10017-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Goff, Aaron, Daire Cantillon, Leticia Muraro Wildner, and Simon J. Waddell. "Multi-Omics Technologies Applied to Tuberculosis Drug Discovery." Applied Sciences 10, no. 13 (2020): 4629. http://dx.doi.org/10.3390/app10134629.

Full text

Abstract:

Multi-omics strategies are indispensable tools in the search for new anti-tuberculosis drugs. Omics methodologies, where the ensemble of a class of biological molecules are measured and evaluated together, enable drug discovery programs to answer two fundamental questions. Firstly, in a discovery biology approach, to find new targets in druggable pathways for target-based investigation, advancing from target to lead compound. Secondly, in a discovery chemistry approach, to identify the mode of action of lead compounds derived from high-throughput screens, progressing from compound to target. T

APA, Harvard, Vancouver, ISO, and other styles

33

Varun, Ahuja. "Artificial Intelligence (AI) in Drug Discovery and Medicine." Journal of Clinical Cases & Reports 2, no. 3 (2019): 76–80. http://dx.doi.org/10.46619/joccr.2019.2-1043.

Full text

Abstract:

Artificial intelligence (AI) is a branch of computer science that deals with the development of algorithms that seek to simulate human intelligence. The phrase “artificial intelligence” was likely coined during a conference at Dartmouth College in 1956. The earliest work of medical AI dates back to the early 1970s. Over years, AI has found implications in various fields. In this article, we summarize its applications in drug discovery and medicine.

APA, Harvard, Vancouver, ISO, and other styles

34

Zhang, Y. "Open-access and Structured Data in Drug Discovery." Biomedical Data Journal 01, no. 1 (2015): 39–41. http://dx.doi.org/10.11610/bmdj.01107.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Shah, Bhavinkumar. "Revolutionizing Drug Discovery: The Role of Artificial Intelligence." International Journal of Science and Research (IJSR) 12, no. 12 (2023): 1948–52. http://dx.doi.org/10.21275/sr231219092956.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Singh, Divyansh, and Indu Melkani. "Pharmacology: The Powerhouse of Drug Discovery and Therapy." International Journal of Science and Research (IJSR) 14, no. 4 (2025): 2418–21. https://doi.org/10.21275/sr25422213107.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Lee, Jonathan A., and Ellen L. Berg. "Neoclassic Drug Discovery." Journal of Biomolecular Screening 18, no. 10 (2013): 1143–55. http://dx.doi.org/10.1177/1087057113506118.

Full text

Abstract:

Innovation and new molecular entity production by the pharmaceutical industry has been below expectations. Surprisingly, more first-in-class small-molecule drugs approved by the U.S. Food and Drug Administration (FDA) between 1999 and 2008 were identified by functional phenotypic lead generation strategies reminiscent of pre-genomics pharmacology than contemporary molecular targeted strategies that encompass the vast majority of lead generation efforts. This observation, in conjunction with the difficulty in validating molecular targets for drug discovery, has diminished the impact of the “gen

APA, Harvard, Vancouver, ISO, and other styles

38

Handa, S. S. "WHY PHYTOPHARMACEUTICAL DRUG DISCOVERY?" INDIAN DRUGS 57, no. 04 (2020): 5–6. http://dx.doi.org/10.53879/id.57.04.p0005.

Full text

Abstract:

Dear Reader, “Phytopharmaceutical drug” includes a purified and standardised fraction with defined minimum four bio-active or phyto-chemical compounds (qualitatively and quantitatively assessed) of an extract of a medicinal plant or its part, for internal or external use of human beings or animals for diagnosis, treatment, mitigation or prevention of any disease or disorder but does not include administration by parenteral route as specified in Rule 122 (eb) of the Drugs & Cosmetics (D&C) Govt. of India”. The data requirements have been specified in the Appendix IB of Schedule Y &

APA, Harvard, Vancouver, ISO, and other styles

39

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

40

Khan, Saba, Jaya Agnihotri, Sunanda Patil, and Nikhat Khan. "Drug repurposing: A futuristic approach in drug discovery." Journal of Pharmaceutical and Biological Sciences 11, no. 1 (2023): 66–69. http://dx.doi.org/10.18231/j.jpbs.2023.011.

Full text

Abstract:

Drug repurposing (DR), also known as drug repositioning, is a strategy aimed at identifying new therapeutic uses for existing drugs. It offers an effective approach to discovering or developing drug molecules with novel pharmacological or therapeutic indications. In recent years, pharmaceutical companies have increasingly embraced the drug repurposing strategy in their drug discovery and development programs, leading to the identification of new biological targets. This strategy is highly efficient, time-saving, cost-effective, and carries a lower risk of failure compared to traditional drug d

APA, Harvard, Vancouver, ISO, and other styles

41

Kathiresan, Revathi Meenal. "Drug Discovery using Quantum Simulation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (2023): 1–13. http://dx.doi.org/10.55041/ijsrem27768.

Full text

Abstract:

Health care Analysis spread wider throughout the globe enables proper structured resolutions for preventing the avalanche of health-related issues. The foremost goal lies in ensuring the proper safety and security of the patients. Talking about Patient safety, early diagnosis is the predominant key in finding any deadly diseases at an earlier stage, reducing the treatment costs, and increasing the overall survival rates. Also, an important factor that comes in parallel along with patient safety is ‘Drug Discovery’. In current day scenario, Pharma industries are striving a lot to improvise clin

APA, Harvard, Vancouver, ISO, and other styles

42

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Thakur, R. S. "DRUG DISCOVERY COMPLEXITIES." Rajiv Gandhi University of Health Sciences Journal of Pharmaceutical Sciences 4, no. 1 (2014): 1–2. http://dx.doi.org/10.5530/rjps.2014.1.1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Wossnig, Leonard. "Intelligent drug discovery." Physics World 34, no. 5 (2021): 39–40. http://dx.doi.org/10.1088/2058-7058/34/05/38.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Schwardt, Oliver, Brian Cutting, Hartmuth Kolb, and Beat Ernst. "Drug Discovery Today." Frontiers in Medicinal Chemistry - Online 2, no. 1 (2005): 533–43. http://dx.doi.org/10.2174/1567204052931050.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Schwardt, Oliver, Hartmuth Kolb, and Beat Ernst. "Drug Discovery Today." Current Topics in Medicinal Chemistry 3, no. 1 (2003): 1–9. http://dx.doi.org/10.2174/1568026033392642.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Okajima, Nobuyuki. "Combinatorial Drug Discovery." Journal of Pesticide Science 28, no. 1 (2003): 86–93. http://dx.doi.org/10.1584/jpestics.28.86.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Zenie, Francis H. "Accelerating Drug Discovery." Nature Biotechnology 12, no. 7 (1994): 736. http://dx.doi.org/10.1038/nbt0794-736.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Fischer, János. "Successful Drug Discovery." Chemistry International 42, no. 3 (2020): 32–35. http://dx.doi.org/10.1515/ci-2020-0324.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Wohlleben, Wolfgang, Yvonne Mast, Evi Stegmann, and Nadine Ziemert. "Antibiotic drug discovery." Microbial Biotechnology 9, no. 5 (2016): 541–48. http://dx.doi.org/10.1111/1751-7915.12388.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!