In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.
Historically, drugs were discovered through identifying the active ingredient from traditional remedies or by serendipitous discovery. Later chemical libraries of synthetic small molecules, natural products or extracts were screened in intact cells or whole organisms to identify substances that have a desirable therapeutic effect in a process known as classical pharmacology. Since sequencing of the human genome which allowed rapid cloning and synthesis of large quantities of purified proteins, it has become common practice to use high throughput screening of large compounds libraries against isolated biological targets which are hypothesized to be disease modifying in a process known as reverse pharmacology. Hits from these screens are then tested in cells and then in animals for efficacy. Even more recently, scientists have been able to understand the shape of biological molecules at the atomic level, and to use that knowledge to design (see drug design) drug candidates.
Modern drug discovery involves the identification of screening hits, medicinal chemistry and optimization of those hits to increase the affinity, selectivity (to reduce the potential of side effects), efficacy/potency, metabolic stability (to increase the half-life), and oral bioavailability. Once a compound that fulfills all of these requirements has been identified, it will begin the process of drug development prior to clinical trials. One or more of these steps may, but not necessarily, involve computer-aided drug design.
Despite advances in technology and understanding of biological systems, drug discovery is still a lengthy, "expensive, difficult, and inefficient process" with low rate of new therapeutic discovery.[1] Currently, the research and development cost of each new molecular entity (NME) is approximately US$1.8 billion.[2]
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Contents
- 1 Drug targets
- 2 Screening and design
- 3 Historical background
- 4 Nature as source of drugs
- 4.1 Plant-derived
- 4.2 Microbial metabolites
- 4.3 Marine invertebrates
- 5 Chemical diversity of natural products
- 6 Natural product drug discovery
- 6.1 Screening
- 6.2 Structural elucidation
- 7 See also
- 8 References
- 9 Further reading
- 10 External links
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Drug targets
The definition of "target" itself is something argued within the pharmaceutical industry. Generally, the "target" is the naturally existing cellular or molecular structure involved in the pathology of interest that the drug-in-development is meant to act on. However, the distinction between a "new" and "established" target can be made without a full understanding of just what a "target" is. This distinction is typically made by pharmaceutical companies engaged in discovery and development of therapeutics. In an estimate from 2011, 435 human genome products were identified as therapeutic drug targets of FDA-approved drugs.[3]
"Established targets" are those for which there is a good scientific understanding, supported by a lengthy publication history, of both how the target functions in normal physiology and how it is involved in human pathology. This does not imply that the mechanism of action of drugs that are thought to act through a particular established targets is fully understood. Rather, "established" relates directly to the amount of background information available on a target, in particular functional information. The more such information is available, the less investment is (generally) required to develop a therapeutic directed against the target. The process of gathering such functional information is called "target validation" in pharmaceutical industry parlance. Established targets also include those that the pharmaceutical industry has had experience mounting drug discovery campaigns against in the past; such a history provides information on the chemical feasibility of developing a small molecular therapeutic against the target and can provide licensing opportunities and freedom-to-operate indicators with respect to small-molecule therapeutic candidates.
In general, "new targets" are all those targets that are not "established targets" but which have been or are the subject of drug discovery campaigns. These typically include newly discovered proteins, or proteins whose function has now become clear as a result of basic scientific research.
The majority of targets currently selected for drug discovery efforts are proteins. Two classes predominate: G-protein-coupled receptors (or GPCRs) and protein kinases.
Screening and design
The process of finding a new drug against a chosen target for a particular disease usually involves high-throughput screening (HTS), wherein large libraries of chemicals are tested for their ability to modify the target. For example, if the target is a novel GPCR, compounds will be screened for their ability to inhibit or stimulate that receptor (see antagonist and agonist): if the target is a protein kinase, the chemicals will be tested for their ability to inhibit that kinase.
Another important function of HTS is to show how selective the compounds are for the chosen target. The ideal is to find a molecule which will interfere with only the chosen target, but not other, related targets. To this end, other screening runs will be made to see whether the "hits" against the chosen target will interfere with other related targets - this is the process of cross-screening. Cross-screening is important, because the more unrelated targets a compound hits, the more likely that off-target toxicity will occur with that compound once it reaches the clinic.
It is very unlikely that a perfect drug candidate will emerge from these early screening runs. It is more often observed that several compounds are found to have some degree of activity, and if these compounds share common chemical features, one or more pharmacophores can then be developed. At this point, medicinal chemists will attempt to use structure-activity relationships (SAR) to improve certain features of the lead compound:
- increase activity against the chosen target
- reduce activity against unrelated targets
- improve the druglikeness or ADME properties of the molecule.
This process will require several iterative screening runs, during which, it is hoped, the properties of the new molecular entities will improve, and allow the favoured compounds to go forward to in vitro and in vivo testing for activity in the disease model of choice.
Amongst the physico-chemical properties associated with drug absorption include ionization (pKa), and solubility; permeability can be determined by PAMPA and Caco-2. PAMPA is attractive as an early screen due to the low consumption of drug and the low cost compared to tests such as Caco-2, gastrointestinal tract (GIT) and Blood–brain barrier (BBB) with which there is a high correlation.
A range of parameters can be used to assess the quality of a compound, or a series of compounds, as proposed in the Lipinski's Rule of Five. Such parameters include calculated properties such as cLogP to estimate lipophilicity, molecular weight, polar surface area and measured properties, such as potency, in-vitro measurement of enzymatic clearance etc. Some descriptors such as ligand efficiency[4] (LE) and lipophilic efficiency[5][6] (LiPE) combine such parameters to assess druglikeness.
While HTS is a commonly used method for novel drug discovery, it is not the only method. It is often possible to start from a molecule which already has some of the desired properties. Such a molecule might be extracted from a natural product or even be a drug on the market which could be improved upon (so-called "me too" drugs). Other methods, such as virtual high throughput screening, where screening is done using computer-generated models and attempting to "dock" virtual libraries to a target, are also often used.
Another important method for drug discovery is drug design, whereby the biological and physical properties of the target are studied, and a prediction is made of the sorts of chemicals that might (e.g.) fit into an active site. One example is fragment-based lead discovery (FBLD). Novel pharmacophores can emerge very rapidly from these exercises. In general, computer-aided drug design is often but not always used to try to improve the potency and properties of new drug leads.
Once a lead compound series has been established with sufficient target potency and selectivity and favourable drug-like properties, one or two compounds will then be proposed for drug development. The best of these is generally called the lead compound, while the other will be designated as the "backup".
Historical background
The idea that effect of drug in human body are mediated by specific interactions of the drug molecule with biological macromolecules, (proteins or nucleic acids in most cases) led scientists to the conclusion that individual chemicals are required for the biological activity of the drug. This made for the beginning of the modern era in pharmacology, as pure chemicals, instead of crude extracts, became the standard drugs. Examples of drug compounds isolated from crude preparations are morphine, the active agent in opium, and digoxin, a heart stimulant originating from Digitalis lanata. Organic chemistry also led to the synthesis of many of the cochemicals isolated from biological sources.
Nature as source of drugs
Despite the rise of combinatorial chemistry as an integral part of lead discovery process, natural products still play a major role as starting material for drug discovery.[7] A report was published in 2007,[8] covering years 1981-2006 details the contribution of biologically occurring chemicals in drug development. According to this report, of the 974 small molecule new chemical entities, 63% were natural derived or semisynthetic derivatives of natural products. For certain therapy areas, such as antimicrobials, antineoplastics, antihypertensive and anti-inflammatory drugs, the numbers were higher. In many cases, these products have been used traditionally for many years.
Natural products may be useful as a source of novel chemical structures for modern techniques of development of antibacterial therapies.[9]
Despite the implied potential, only a fraction of Earth’s living species has been tested for bioactivity.
Plant-derived
Prior to Paracelsus, the vast majority of traditionally used crude drugs in Western medicine were plant-derived extracts. This has resulted in a pool of information about the potential of plant species as an important source of starting material for drug discovery. A different set of metabolites is sometimes produced in the different anatomical parts of the plant (e.g. root, leaves and flower), and botanical knowledge is crucial also for the correct identification of bioactive plant materials.
Microbial metabolites
Main article: Medicinal molds
Microbes compete for living space and nutrients. To survive in these conditions, many microbes have developed abilities to prevent competing species from proliferating. Microbes are the main source of antimicrobial drugs. Streptomyces species have been a valuable source of antibiotics. The classical example of an antibiotic discovered as a defense mechanism against another microbe is the discovery of penicillin in bacterial cultures contaminated by Penicillium fungi in 1928.
Marine invertebrates
Marine environments are potential sources for new bioactive agents.[10] Arabinose nucleosides discovered from marine invertebrates in 1950s, demonstrating for the first time that sugar moieties other than ribose and deoxyribose can yield bioactive nucleoside structures. However, it was 2004 when the first marine-derived drug was approved. The cone snail toxin ziconotide, also known as Prialt, was approved by the Food and Drug Administration to treat severe neuropathic pain. Several other marine-derived agents are now in clinical trials for indications such as cancer, anti-inflammatory use and pain. One class of these agents are bryostatin-like compounds,under investigation as anti-cancer therapy.
Chemical diversity of natural products
As above mentioned, combinatorial chemistry was a key technology enabling the efficient generation of large screening libraries for the needs of high-throughput screening. However, now, after two decades of combinatorial chemistry, it has been pointed out that despite the increased efficiency in chemical synthesis, no increase in lead or drug candidates has been reached.[8] This has led to analysis of chemical characteristics of combinatorial chemistry products, compared to existing drugs or natural products. The chemoinformatics concept chemical diversity, depicted as distribution of compounds in the chemical space based on their physicochemical characteristics, is often used to describe the difference between the combinatorial chemistry libraries and natural products. The synthetic, combinatorial library compounds seem to cover only a limited and quite uniform chemical space, whereas existing drugs and particularly natural products, exhibit much greater chemical diversity, distributing more evenly to the chemical space.[7] The most prominent differences between natural products and compounds in combinatorial chemistry libraries is the number of chiral centers (much higher in natural compounds), structure rigidity (higher in natural compounds) and number of aromatic moieties (higher in combinatorial chemistry libraries). Other chemical differences between these two groups include the nature of heteroatoms (O and N enriched in natural products, and S and halogen atoms more often present in synthetic compounds), as well as level of non-aromatic unsaturation (higher in natural products). As both structure rigidity and chirality are both well-established factors in medicinal chemistry known to enhance compounds specificity and efficacy as a drug, it has been suggested that natural products compare favourable to today's combinatorial chemistry libraries as potential lead molecules.
Natural product drug discovery
Screening
Two main approaches exist for the finding of new bioactive chemical entities from natural sources.
The first is sometimes referred to as random collection and screening of material, but in fact the collection is often far from random in that biological (often botanical) knowledge is used about which families show promise, based on a number of factors, including past screening. This approach is based on the fact that only a small part of earth’s biodiversity has ever been tested for pharmaceutical activity. It is also based on the fact that organisms living in a species-rich environment need to evolve defensive and competitive mechanisms to survive, mechanisms which might usefully be exploited in the development of drugs that can cure diseases affecting humans. A collection of plant, animal and microbial samples from rich ecosystems can potentially give rise to novel biological activities worth exploiting in the drug development process. One example of a successful use of this strategy is the screening for antitumour agents by the National Cancer Institute, started in the 1960s. Paclitaxel was identified from Pacific yew tree Taxus brevifolia. Paclitaxel showed anti-tumour activity by a previously undescribed mechanism (stabilization of microtubules) and is now approved for clinical use for the treatment of lung, breast and ovarian cancer, as well as for Kaposi's sarcoma. Early in the 21st century, Cabazitaxel (made by Sanofi, a French firm), another relative of taxol has been shown effective against prostate cancer, also because it works by preventing the formation of microtubules, which pull the chromosomes apart in dividing cells (such as cancer cells). Still another examples are: 1. Camptotheca (Camptothecin · Topotecan · Irinotecan · Rubitecan · Belotecan); 2. Podophyllum (Etoposide · Teniposide); 3a. Anthracyclines (Aclarubicin · Daunorubicin · Doxorubicin · Epirubicin · Idarubicin · Amrubicin · Pirarubicin · Valrubicin · Zorubicin); 3b. Anthracenediones (Mitoxantrone · Pixantrone).
Nor do all drugs developed in this manner come from plants. Professor Louise Rollins-Smith of Vanderbilt University's Medical Center, for example, has developed from the skin of frogs a compound which blocks AIDS. Professor Rollins-Smith is aware of declining amphibian populations and has said: "We need to protect these species long enough for us to understand their medicinal cabinet."
The second main approach involves Ethnobotany, the study of the general use of plants in society, and ethnopharmacology, an area inside ethnobotany, which is focused specifically on medicinal uses.
Both of these two main approaches can be used in selecting starting materials for future drugs. Artemisinin, an antimalarial agent from sweet wormtree Artemisia annua, used in Chinese medicine since 200BC is one drug used as part of combination therapy for multiresistant Plasmodium falciparum.
Structural elucidation
The elucidation of the chemical structure is critical to avoid the re-discovery of a chemical agent that is already known for its structure and chemical activity. Mass spectrometry, often used to determine structure, is a method in which individual compounds are identified based on their mass/charge ratio, after ionization. Chemical compounds exist in nature as mixtures, so the combination of liquid chromatography and mass spectrometry (LC-MS) is often used to separate the individual chemicals. Databases of mass spectras for known compounds are available. Nuclear magnetic resonance spectroscopy is another important technique for determining chemical structures of natural products. NMR yields information about individual hydrogen and carbon atoms in the structure, allowing detailed reconstruction of the molecule’s architecture.
See also
- Antitarget
- Biological target
- Drug discovery hit to lead
- Drug development
- Pre-clinical development
- Protein structure prediction
- Drug design
- Rational drug design
- Drug metabolism
- Compound management
- Bioinformatics
- Cheminformatics
- Biomedical informatics
- Orphan drug
- Pharmaceutical company
- Pharmacognosy
- Physiologically-based pharmacokinetic modelling
- Simcyp Simulator
- Pharmacogenetics
- Simulations Plus
- High-throughput screening
- Natural product
- Molecular modelling
- Molecular Conceptor
- Discovery and development of proton pump inhibitors
- Discovery and development of melatonin receptor agonists
- Discovery and development of nucleoside and nucleotide reverse transcriptase inhibitors
- Discovery and development of Bcr-Abl tyrosine kinase inhibitors
- Discovery and development of antiandrogens
- Discovery and development of cephalosporins
References
- ^ Anson, Blake D.; Ma, Junyi; He, Jia-Qiang (1 May 2009). "Identifying Cardiotoxic Compounds". TechNoteGenetic Engineering & Biotechnology News 29 (9) (Mary Ann Liebert). pp. 34–35. ISSN 1935-472X. OCLC 77706455. Archived from the original on 25 July 2009. Retrieved 25 July 2009
- ^ Steven M. Paul, Daniel S. Mytelka, Christopher T. Dunwiddie, Charles C. Persinger, Bernard H. Munos, Stacy R. Lindborg & Aaron L. Schacht (2010). "How to improve R&D productivity: the pharmaceutical industry's grand challenge". Nature Reviews Drug Discovery 9 (3): 203–214. doi:10.1038/nrd3078. PMID 20168317.
- ^ Rask-Andersen M, Almén MS, Schiöth HB (August 2011). "Trends in the exploitation of novel drug targets.". Nat. Rev. Drug Disc. 8 (10): 549–90. doi:10.1038/nrd3478. PMID 21804595.
- ^ Hopkins, A. L., Groom, C. R. and Alexander, A. (2004). "Ligand efficiency: a useful metric for lead selection". Drug Discovery Today 9 (10): 430–431. doi:10.1016/S1359-6446(04)03069-7. PMID 15109945.
- ^ Ryckmans, T. et al. (2009). "Rapid assessment of a novel series of selective CB2 agonists using parallel synthesis protocols: A Lipophilic Efficiency (LipE) analysis". Bioorg. Med. Chem. Lett. 19 (15): 4406–4409. doi:10.1016/j.bmcl.2009.05.062. PMID 19500981.
- ^ Leeson, P. D. et al. (2007). "The influence of drug-like concepts on decision-making in medicinal chemistry". Nat. Rev. Drug Disc. 6 (11): 881–890. doi:10.1038/nrd2445. PMID 17971784.
- ^ a b Feher M, Schmidt JM (2003). "Property distributions: differences between drugs, natural products, and molecules from combinatorial chemistry". J Chem Inf Comput Sci 43 (1): 218–27. doi:10.1021/ci0200467. PMID 12546556.
- ^ a b Newman DJ, Cragg GM (March 2007). "Natural products as sources of new drugs over the last 25 years". J. Nat. Prod. 70 (3): 461–77. doi:10.1021/np068054v. PMID 17309302.
- ^ von Nussbaum F, Brands M, Hinzen B, Weigand S, Häbich D (August 2006). "Antibacterial natural products in medicinal chemistry--exodus or revival?". Angew. Chem. Int. Ed. Engl. 45 (31): 5072–129. doi:10.1002/anie.200600350. PMID 16881035. "The handling of natural products is cumbersome, requiring nonstandardized workflows and extended timelines. Revisiting natural products with modern chemistry and target-finding tools from biology (reversed genomics) is one option for their revival."
- ^ John Faulkner D, Newman DJ, Cragg GM (February 2004). "Investigations of the marine flora and fauna of the Islands of Palau". Nat Prod Rep 21 (1): 50–76. doi:10.1039/b300664f. PMID 15039835.
Further reading
- Gad, Shayne C. (2005). Drug discovery handbook. Hoboken, N.J: Wiley-Interscience/J. Wiley. ISBN 0-471-21384-5.
- Madsen, Ulf; Krogsgaard-Larsen, Povl; Liljefors, Tommy (2002). Textbook of drug design and discovery. Washington, DC: Taylor & Francis. ISBN 0-415-28288-8.
External links
- Introduction to Drug Discovery - Combinatorial Chemistry Review
- CDER Drug and Biologic Approval Reports
- Pharmaceutical Research and Manufacturers of America (PhRMA)
- European Medicines Agency (EMEA)
- Pharmaceuticals and Medical Devices Agency (PMDA)
- WHO Model List of Essential Medicines
- Innovation and Stagnation: Challenge and Opportunity on the Critical Path to New Medical Products - FDA
- Priority Medicines for Europe and the World Project "A Public Health Approach to Innovation" - WHO
- International Union of Basic and Clinical Pharmacology
- IUPHAR Committee on Receptor Nomenclature and Drug Classification
- Drugdiscovery@home Early in silico drug discovery by volunteer computing.
- Drug Information Association (DIA)
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Topics in Medicinal Chemistry
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- ADME
- Bioavailability
- Chemogenomics
- Drug design
- Drug discovery
- Enzyme inhibitor
- Ligand efficiency
- Mechanism of action
- New chemical entity
- Pharmacodynamics
- Pharmacokinetics
- Pharmacology
- Pharmacophore
- Quantitative structure-activity relationship
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Drug design
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| Steps in design |
- Drug discovery
- Drug discovery hit to lead
- Drug development
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Case studies of discovery
and development of drug classes |
- ACE inhibitors
- Angiotensin receptor blockers
- Antiandrogens
- Cephalosporins
- c-Met inhibitors
- Cyclooxygenase 2 inhibitors
- Dipeptidyl peptidase-4 inhibitors
- Direct thrombin inhibitors
- Dual serotonin and norepinephrine reuptake inhibitors
- HIV-protease inhibitors
- Integrase inhibitors
- mTOR inhibitors
- Non-nucleoside reverse-transcriptase inhibitors
- Nucleoside and nucleotide reverse-transcriptase inhibitors
- Proton pump inhibitors
- Statins
- Thalidomide and its analogs
- Triptans
- TRPV1 antagonists
- Tubulin inhibitors
- Bcr-Abl tyrosine-kinase inhibitors
- Cannabinoid receptor antagonists
- CCR5 receptor antagonists
- Neurokinin 1 receptor antagonists
- 5-HT3 antagonists
- Melatonin receptor agonists
- Renin inhibitors
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