• No se han encontrado resultados

Identificación basado en el iris/retina

Capítulo 1: Fundamentación Teórica

1.3 Tecnologías

1.3.4 Identificación basado en el iris/retina

The ultimate long-term goal of medicinal chemistry is to design a “useful drug”. A use-ful drug is more than a molecule that is safe and efficacious. It is more than a compound that produces papers in scholarly journals. A useful drug is a drug molecule that is not only safe and efficacious, but also one that can pass government regulations, pass through multiple levels of human clinical trials, be economically produced in large quantities, be successfully marketed, and can ultimately help people with disease.

Successfully treating humans with disease is the “bottom line” in drug design.

Perhaps the greatest hurdle along the pathway of a molecule becoming a useful drug is the need to sequentially pass clinical trials. However, before a drug can be evaluated in human clinical trials, it must first successfully negotiate preclinical test-ing. This frequently involves five or six types of test, and is completed in non-human animals:

1. Acute toxicity — acute dose that is lethal in 50% of animals; usually two species, usually two routes of administration

2. Subacute toxicity — physiology, histology, autopsy studies; two species, sometimes with dosings over a 6 month time period

3. Chronic toxicity — detailed organ evaluation; two species, sometimes studied for 1–2 years

4. Mutagenic potential — effects on genetic stability of bacteria (Ames test) of mammalian cells in culture

5. Carcinogenic potential — required if drug is to be administered for prolonged periods of time

6. Reproductive performance effects — effects on animal progeny, production of birth defects

Once a molecule successfully passes the preclinical testing, it is ready for human clin-ical trials. There are four phases of human clinclin-ical trial.

Phase 1 — the effects of the drug as a function of dose are measured in a small number (25–45) of healthy volunteers who do not have the disease under study;

safety is primarily evaluated.

Phase 2 — the drug is studied in a small number of people (20–150) who have the disease under study; both safety and efficacy are evaluated.

Figure 3.10 The drug development process. The timeline for drug discovery and development is long, adding to the high cost of drug development. Computational methods have helped to shorten this timeline.

Phase 3 — the drug is studied in a large number of people (hundreds to thousands) who have the disease under study, typically using a multi-center, double-blind, placebo–controlled, randomized clinical trial (RCT) protocol.

Phase 4 — once the drug has been approved for market, vigilant post-marketing sur-veillance is done to ascertain the possible appearance of previously undetected tox-icities or problems.

The drug development process is long, as is shown in figure 3.10. During the drug development phases, toxicity is one of the most important hurdles to the success of a drug molecule. Toxicity can affect the person who is taking the medication (causing skin rashes, liver problems, bone marrow failure, etc.) or, in the case of women, can affect their developing fetus if they are pregnant. Table 3.2 lists some of the drugs

Table 3.2 Drugs Producing Adverse Effects on the Fetus

Drug Effect

ACE inhibitors Kidney damage

Amphetamines Abnormal developmental patterns

Androgens Masculinization of female

Busulfan Congenital malformations

Carbamazepine Neural tube defects affecting brain formation

Cocaine Stroke in fetus

Cyclophosphamide Congenital malformations

Cytarabine Congenital malformations

Diethylstilbestrol Vaginal adenocarcinoma in child

Ethanol Risk of fetal alcohol syndrome

Etretinate High risk of multiple congenital malformations

Iodine Congenital goiter, hypothyroidism

Isotretinoin High risk of face, ear, and other malformations

Methotrexate Multiple congenital abnormalities

Methylthiouracil Hypothyroidism in child

Metronidazole May be mutagenic (animal studies show no evidence for mutagenic or teratogenic effects in humans)

Penicillamine Congenital skin malformations

Phenytoin Fetal hydantoin syndrome

Propylthiouracil Congenital goiter

Streptomycin Eighth nerve toxicity (deafness) in child

Tamoxifen Increased risk of spontaneous abortion or fetal damage Tetracycline Discoloration and defects of teeth and altered

bone growth

Thalidomide Phocomelia (shortened bones of the limbs)

Trimethadione Multiple congenital abnormalities

Valproic acid Neural tube defects of the brain

that produce an adverse effect on the fetus. Toxicity problems have resulted in many drugs being withdrawn from the market, as shown in table 3.3. As shown in figure 3.11, toxicity problems are a major cause of drug rejection during the develop-ment process.

Successful completion of the four phases of human clinical trials enables a drug to be widely distributed for the treatment of human disease. However, a simple reality of drug discovery is that drugs are developed by industry. The lead compound may have been identified in an academic university-based laboratory, but the clinical trials are invariably completed by the industrial sector. Academic institutions, governments, or international organizations (e.g., the World Health Organization, WHO) do not develop drugs. Because of this, drug molecules tend to be developed only if they have a good prospect for being profitable. In order to be profitable, a drug molecule should be patented so that the vendor can enjoy exclusive rights to its marketing. Although a discussion of the criteria for patentability is beyond the scope of this book, the drug Table 3.3 Approved Drugs Withdrawn Because of Toxicity

Drug Year Adverse reaction

Astemizole 1998 Interactions (e.g., with grapefruit juice)

Benoxaprofen 1982 Liver damage

Centoxin 1993 Increased mortality

Cerivastatin 2001 Muscle breakdown

Cisapride 2000 Cardiac arrhythmias

Clioquinol 1975 Optic neuropathy (eye problem)

Dexfenfluramine 1997 Cardiac valve abnormalities

Fenfluamine 1997 Cardiac valve abnormalities

Flosequinan 1993 Increased mortality

Indoprofen 1984 Gastrointestinal bleeding/perforation

Metipranolol 0.6% eyedrops 1990 Anterior uveitis (eye problem)

Mibefradil 1998 Many drug interactions

Temafloxacin 1992 Various serious adverse effects

Terodiline 1991 Cardiac arrhythmias

molecule should be chemically unique, without evidence of previous pharmacological development.

Selected References Designing a Lead Compound

D. Baker, A. Sali (2001). Protein structure prediction and structural genomics. Science 294:

93–96.

F. A. Bisby (2000). The quiet revolution: biodiversity informatics and the internet. Science 289:

2309–2312.

S. Borman (2000). Combinatorial chemistry: redefining the scientific method for drug discovery.

Chem. Eng. News 78: 53–66.

A. S. V. Burgen and G. C. K. Roberts (Eds.) (1986). Molecular Graphics and Drug Design.

Topics in Molecular Pharmacology, vol. 3. Amsterdam: Elsevier.

N. C. Cohen (1983). Towards the rational design of new leads in drug research. Trends Pharmacol. Sci. 4: 503–506.

J. Drews (2000). Drug discovery: a historical perspective. Science 287: 1960–1964.

A. Edwards, C. Arrowsmith, B. Pallieres (2000). Proteomics: new tools for a new era. Mod. Drug Discov. 3: 34–45.

C. Ezzell (2002). Proteins rule. Sci. Amer. 286: 40–47.

J. Gasteiger (2003). Handbook of Chemoinformatics. New York: Wiley.

C. Henry (2001). Pharmacogenomics. Chem. Eng. News 79: 37–45.

A. J. Hopfinger (1985). Computer-assisted drug design. J. Med. Chem. 28: 1133–1139.

P. N. Kant, P. Daftari (1986). Marine pharmacology: bioactive molecules from the sea. Annu. Rev.

Pharmacol. Toxicol. 26: 117–142.

Figure 3.11 Failure of drug molecules. Many drugs that are successful in the pharmacodynamic phase ultimately fail to become useful drugs. This pie-chart presents the reasons for failure at this stage of the development process. Toxicity is an important cause of failure.

P. Krogsgaard-Larsen, S. B. Christensen, H. Kofod (Eds.) (1984). Natural Products and Drug Development. Copenhagen: Munksgaard.

E. S. Lander, R. A. Weinberg (2000). Genomics: journey to the center of biology. Science 287:

1777–1782.

K. Pal (2000). The keys to chemical genomics. Mod. Drug Discov. 3: 46–58.

P. J. Rosenthal (2003). Antimalarial drug discovery: old and new approaches. J. Exp. Biol. 206:

3735–3744.

A. M. Rouhi (2003). Pharmaceuticals: rediscovering natural products. Chem. Eng. News 41:

77–90.

P. A. Singer, A. Daar (2001). Harnessing genomics and biotechnology. Science. 294: 87–89.

N. Sleep (2000). Sorting out combinatorial chaos. Mod. Drug Discov. 3: 37–46.

N. J. de Souza, B. N. Ganguli, J. Reden (1982). Strategies in the discovery of drugs from natural sources. Annu. Rep. Med. Chem. 17: 301–310.

J. J. Stezowski, K. Chandrasekhar (1986). X-ray crystallography of drug molecule–macromolecule interactions as an aid to drug design. Annu. Rep. Med. Chem. 21: 293–302.

E. A. Swinyard (1980). History of the Antiepileptic Drugs. In: G. Glaser, J. Penry, D. Woodbury (Eds.). Antiepileptic Drugs: Mechanism of Action. New York: Raven Press. p. 1.

A. S. Verkman (2004). Drug discovery in academia. Am. J. Physiol. 286: C465–C474.

Synthesis of a Lead Compound

M. A. Fox, J. K. Whitesell (2004). Organic Chemistry 3rd ed. Toronto: Jones and Bartlett, (excel-lent description of syntheses of diazepam, ibuprofen, sertraline).

N. J. Hrib (1986). Recent development in computer-assisted organic synthesis. Annu. Rep. Med.

Chem. 21: 303–311.

J. MacCoss, T. Baillie (2004). Organic chemistry in drug discovery. Science 303: 1810–1813.

S. L. Schreiber (2000). Target-oriented and diversity-oriented organic synthesis in drug discovery.

Science 287: 1964–1969.

Optimizing a Lead Compound

T. M. Allen, P. R. Cullis (2004). Drug delivery systems: entering the mainstream. Science 303:

1818–1821.

S. C. Basak, D. K. Harris, V. R. Magnuson (1984). Comparative study of lipophilicity versus topological molecular descriptors in biological correlations. J. Pharm. Sci. 73: 429–437.

N. Bodor (1982). Soft drugs: strategies for design of safer drugs. In: J. A. Keverling–Buisman (Ed.). Strategy in Drug Design. Amsterdam: Elsevier.

N. Bodor (1984). Novel approaches to the design of safer drugs: soft drugs and site–specific delivery systems. In: B. Testa (Ed.). Advanced Drug Research, vol. 13. New York: Academic Press, pp. 255–331.

D. E. Clark (2003). In silico prediction of blood–brain barrier permeation. Drug Discov. Today 8:

927–933.

P. V. Desai, E. C. Coutinho (2001). QSAR in drug discovery and development. Asian Chem. Lett.

5: 77–86.

O. Dror, A. Shulman-Peleg, R. Nussinov, H. J. Wolfson (2004). Predicting molecular interactions in silico: I. A guide to pharmacophore identification and its applications to drug design.

Curr. Med. Chem. 11: 71–90.

N. L. Henderson (1983). Recent advances in drug delivery system technology. Annu. Rep. Med.

Chem. 18: 275–284.

W. L. Jorgensen (2004). The many roles of computation in drug discovery. Science 303:

1813–1818.

G. M. Keseru (2003). Structure/function/SAR and molecular design. Mol. Divers. 7: 1.

L. B. Kier, L. H. Hall (1976). Molecular Connectivity in Structure–Activity Studies. Letchworth:

Research Studies Press.

G. L. Kirschner, B. R. Kowalski (1978). The application of pattern recognition to drug design. In:

E. J. Ariëns (Ed.). Drug Design, vol. 9. New York: Academic Press, pp. 73–131.

G. Klopman, R. Contreras (1985). Use of artificial intelligence in structure–activity relationships of anticonvulsant drugs. Mol. Pharmacol. 27: 86–93.

C. M. Krejsa, D. Horvath, S. L. Rogalski, J. E. Penzotti, B. Mao, F. Barbosa, J. C. Migeon (2003).

Predicting ADME properties and side effects: the BioPrint approach. Curr. Op. Drug Discov.

Develop. 6: 470–480.

H. Kubinyi (1979). Lipophilicity and drug activity. In: E. Jacket (Ed.). Drug Research, vol. 23.

Basel: Birkhäuser, pp. 97–198.

C. A. Lipinski (1986). Bioisosterism in drug design. Annu. Rep. Med. Chem. 21: 283–291.

P. P. Mager (1980). The MASCA model of pharmacochemistry, I. Multi-variate statistics. In:

E. J. Ariëns (Ed.). Drug Design, vol. 9. New York: Academic Press, pp. 187–236.

G. R. Marshall (1987). Computer-aided drug design. Annu. Rev. Pharmacol. Toxicol. 27:

193–213.

E. F. Meyer, Jr (1980). Interactive graphics in medicinal chemistry. In: E. J. Ariëns (Ed.). Drug Design, vol. 9. New York: Academic Press, pp. 267–289.

W. M. Pardridge (1985). Strategies for delivery of drugs through the blood–brain barrier. Annu.

Rep. Med. Chem. 20: 305–313.

R. Perkins, H. Fang, W. Tong, W. J. Welsh (2003). Quantitative structure–activity relationship methods: perspectives on drug discovery and toxicology. Environ. Toxicol. Chem. 22:

1666–1679.

M. J. Poznansky, R. L. Juliano (1984). Biological approaches to the controlled delivery of drugs:

a critical review. Pharmacol. Rev. 36: 277–336.

A. K. Rappe, C. J. Casewit (1996). Molecular Mechanics Across Chemistry. Sausalito: University Science Books.

J. N. Simpkins, J. McCormack, K. S. Estes, M. E. Brewster, E. Sheck, N. Bodor (1986).

Sustained brain-specific delivery of estradiol causes long-term suppression of luteinizing hormone secretion. J. Med. Chem. 29: 1809–1812.

A. A. Sinkula (1975). Prodrug approach in drug design. Annu. Rep. Med. Chem. 10: 306–316.

J. G. Topliss (Ed.) (1983). Quantitative Structure–Activity Relationships in Drugs. New York:

Academic Press.

J. G. Topliss, J. Y. Fukunaga (1978). QSAR in drug design. Annu. Rep. Med. Chem. 13: 292–303.

J. G. Topliss, Y. C. Martin (1975). Utilization of operational schemes for analog synthesis in drug design. In: E. J. Ariëns (Ed.). Drug Design, vol. 5. New York: Academic Press, pp. 1–21.

F. Torrens (2003). Structural, chemical topological, electrotopological and electronic structure hypotheses. Comb. Chem. HTS 6: 801–809.

J. Vaya, S. Tamir (2004). The relation between the chemical structure of flavonoids and their estrogen-like activities. Curr. Med. Chem. 11: 1333–1343.

D. A. Winkler (2003). The role of quantitative structure–activity relationships (QSAR) in bio-molecular discovery. Brief. Bioinf. 3: 73–86.

A. Xie, C. Liao, Z. Li, Z. Ning, W. Hu, X. Lu, L. Shi, J. Zhou (2004). Quantitative structure–activity relationship study of histone deacetylase inhibitors. Curr. Med. Chem.:

Anti-Cancer Agents 4: 273–299.

APPENDIX 3.1: BASIC REACTIONS FOR DRUG

Documento similar