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The position of mutuality
Increasingly, patient and professional
guidelines recognize and encourage an
ethical duty to warn. In the position of
mutuality, it is the health professional’s
duty to warn in cases where the patient
refuses to do so. This discretionary duty
or permission is not without certain
parameters and continues to be seen as
a last resort.
In the situation of repeated refusal by
the patient, four conditions must be met
before it is seen as ethically permissible
for the physician to breach medical
confidentiality: (1) the condition in
question must be serious with (2) a
high probability of occurrence, (3) in an
identifiable blood relative(s) and
(4) prevention or treatment must be
available.
In this way, a serious burden on others
can be avoided. This position, however,
in no way advocates a legal duty to warn.
For now such ethical ‘permission’will at a
minimum serve as a defence in a possible
suit for breach of confidentiality [6].
Nevertheless, it seconds the position that
between the human genome at the
collective level being considered the
common heritage of humanity and at the
personal level as being unique and
belonging to the individual, the
information it contains is also familial.
The adoption of this translation of the
principle of mutuality with respect to
genetic information will reinforce what
the World Health Organizaton (WHO)
has maintained with regard to DNA
samples which it sees as subject to
familial control [7].
In short, the very nature of genetic
information, as both individual and
universal, now mandates its treatment
as familial. The future availability of
inexpensive multiplex testing might
allow routine individual knowledge of
thousands of mutations and so lessen
the need to warn at-risk relatives.
However, at present, the acceptance of
the principle of mutuality in the sharing
of information in families (and hopefully
one day in whole communities at risk),
serves to reinforce the notion that we are
literally our brothers’ keeper. Finally, the
sharing of genetic information could also
serve to ‘normalize’ it. If so, we can one
day end the stigmatization and
discrimination that is currently
associated with genetic information and
integrate it into modern medicine, as
normal medical information in more
caring and sharing families.
References
1 European Parliament (April 1990) Resolution on
the ethical and legal problems of genetic
engineering. Bull. Med. Eth. 8, article 12c
2 Council of Europe (1997) Convention for the
protection of human rights and dignity of the human
being with regard to the application of biology and
medicine: convention on human rights and
biomedicine. Int. Dig. Hlth Leg. 99, 48:1, article 10
3 United Nations Educational, Scientific and Cultural
Organization (International Bioethics Committee)
(November 1997) Universal Declaration on the
Human Genome and Human Rights, UNESCO,
Paris, France)
4 Health Council of the Netherlands (1989)
Heredity: Science and Society – On the
Possibilities and Limits of Genetic Testing and
Gene Therapy. pp. 91, The Hague
5 Group of Advisors to the European Commission
on the Ethical Implications of Biotechnology
(GAEIB) (1996) Ethical aspects of Prenatal
Diagnosis. Opinion 2.8
6 American Society of Human Genetics (1998) ASHG
Statement. Professional disclosure of familial
genetic information. Am. J. Hum. Genet. 62, 474
7 World Health Organization (1997) Proposed
International Guidelines on Ethical Issues in Medical
Genetics and Genetic Services (Table 10), guideline 2
Bartha Maria Knoppers
Canada Research Chair in Law and Medicine,Faculty of Law, CRDP, University of Montreal,CP 6128 succ. Centre-ville, Montreal, Quebec,Canada H3C 3J7.e-mail: [email protected]
TRENDS in Biotechnology Vol.20 No.2 February 2002
http://tibtech.trends.com 0167-7799/02/$ – see front matter © 2002 Elsevier Science Ltd. All rights reserved. PII: S0167-7799(01)01877-7
86 Forum
Book Review
Designing
combinatorial libraries
for drug discovery
Combinatorial Library Design and
Evaluation. Principles, Software Tools,
and Applications in Drug Discovery
Edited by Arup K. Ghose and Vellarkad N. Viswanadhan. Marcel Dekker, Inc., 2001. US $195.00 (hbk)(xv + 631 pages) ISBN 0 8247 0487 8
Without doubt, combinatorial chemistry
and combinatorial library design have
become an integral part of the drug
discovery process. In only a few years,
computational approaches to library
design have matured from a novel
research topic to a mainstream tool in the
pharmaceutical industry. This book offers
a timely overview of the current state of
affairs of in silico design of combinatorial
libraries and includes theoretical
principles, available software tools and
examples of applications. Many chapters
in the book are written by recognized
experts in the field and provide
comprehensive introductions to the
various computational aspects of drug
discovery and library design.
The first chapter outlines a chemist’s
view of the library design process as well
as important synthetic considerations.
Because the final step in designing a
library is to successfully make chosen
compounds, it is important to understand
the features and limitations of common
solid-phase and solution-phase
synthesis techniques as well as pooled-
and parallel-synthesis strategies.
This chapter also introduces
classification of chemical libraries
according to their intended purpose –
‘discovery’ or ‘screening’, ‘focused’ or
‘targeted’ and ‘optimization’ being the
classification groups.
The remaining 19 chapters of the book
are organized into three parts that offer
progressively more in-depth discussions of
the computational methods and tools used
in combinatorial library design. The first
part outlines fundamental design
principles including pharmacophore
modeling, quantitative structure–activity
relationship (QSAR), structure-based
drug design and property prediction.
The second part reviews current state-of-
the-art methods and software tools for
designing combinatorial libraries that are
effective in generating prospective lead
compounds. The third part includes
several case studies to illustrate the
practical application of various
approaches to library design. Many
chapters provide extensive references of
recent publications in the field.
Pharmacophore modeling of
ligand–receptor binding and available
software for automated discovery and
matching of essential pharmacophores is
discussed in Chapters 2 and 14. A concise
review of classical QSAR is given in
Chapter 3 and includes a table of ‘success
stories’where drugs developed with the
help of the QSAR approach have
subsequently been developed and
marketed. Both receptor- and ligand-
focused 3D QSAR approaches are
discussed in Chapter 4. Computational
algorithms for designing diverse libraries
with additional constraints from large
virtual libraries are summarized in
Chapter 10, which is complemented by
Chapter 11, which reviews structural
descriptors and similarity measures
commonly used in the diversity analysis.
Chapters 6 and 17 address de novo design
tools available for building combinatorial
libraries by connecting docked fragments
or by the progressive build-up of ligands.
Corresponding software packages
detailed include GRID, DOCK, FlexX,
GOLD, SEED, CAVEAT and LUDI.
Several contributors address
optimization aspects of library design
that include the use of stochastic
sampling techniques such as the Monte
Carlo method or genetic algorithms.
A continuous theme throughout the
book is the importance of not only the
binding affinity or structural diversity
but also pharmacologically relevant
physicochemical and biological
properties (or ‘drug likeness’) when
designing compounds. Many of the
authors agree that attention to ‘drug-
likeness’ of the designed libraries during
the earlier stages of the drug discovery
process helps decrease the percentage of
leads abandoned later on owing to
bioavailability or toxicity problems, and
hence decreases the cost of developing
new drugs. Chapter 7 describes an
integrated approach for simultaneous
optimization of pharmokinetic properties
and binding affinity through QSAR and
property prediction techniques.
Chapter 8 presents a ‘consensus’
definition of drug likeness, which can be
used for profiling combinatorial libraries
and is less broad than Lipinski’s ‘rule of
five’. Alternative use of neural networks
to evaluate a ‘drug-likeness’ score is
discussed in Chapter 9.
This book will be useful to graduate
students and synthetic chemists who want
a good introduction to the field of
combinatorial library design and who
want to learn the underlying principles
and available techniques in this area.
Computational chemists will find this
book to be a good review of various aspects
of library design and a source of references
to more detailed publications.
Victor S. Lobanov
3-Dimensional Pharmaceuticals, Inc.,665 Stockholm Drive, Suite 104, Exton,PA 19341, USA.e-mail: [email protected]
Back to basics?
Basic Biotechnology (2nd edn)
Edited by Colin Ratledge and Bjorn Kristianson. Cambridge UniversityPress, 2001. £29.95 pbk (xiii + 568 pages) ISBN 0 521 77917 0
Medicine, food technology and
environmental management are just a
few of the disciplines about which our
perceptions have been changed by the
advances made in the multi-disciplinary
activities of modern molecular biology.
Recombinant DNA techniques, cloning
and genetics have helped to make
biotechnology one of the major industries
of the twenty-first century and yet for the
full benefits of the industry to be reaped,
manufacturing capability involving the
large-scale processing of biological
material is required.
Basic Biotechnology is an excellent text
that introduces a wide breadth of topics
relevant to this industry from molecular
biology and genetics to biochemical
engineering allowing the reader that is
new to the subject to gain an insight as to
how these disciplines interrelate.
The book will be most useful for
undergraduate students studying
biotechnology or bioprocess engineering
because it gives a good overview of a wide
range of subjects likely to be directly related
to their course. To label this book as solely
for undergraduates, however, would be to
do it an injustice for it contains sufficient
depth of detail on many topics to make it
of interest to post-graduates, researchers
and teachers alike. Chapters are laid out
in an easy to read manner while still
enabling the book to be used as a reference
text for specific pieces of information.
Despite contributions from a large number
of authors the book admirably achieves a
continuity of style that is both easily
understood and suitably succinct.
Each chapter is concluded with suggestions
of up-to-date texts for further reading.
Basic Biotechnology is divided into
two sections of approximately equal size.
Part One, entitled ‘Fundamentals and
Principles’, contains chapters on the
biochemistry and physiology of cell
growth and metabolism, genome
management and analysis, bioreactor
design and downstream processing.
The chapters are well ordered and
demonstrate how knowledge of molecular
biology and a familiarity with laboratory
techniques can enhance production
processes and have positive consequences
for process economics. Part Two, entitled
‘Practical Applications’, illustrates and
reinforces the ideas introduced in
Part One with a substantial number of
examples of production processes
covering a broad spectrum of products
such as amino and organic acids,
antibiotics, enzymes and high-value
recombinant proteins. Excellent chapters
are included on biotransformations and
the environmental applications of
biotechnology. The text is deliberately
biased towards established processes
with the philosophy correctly being that
future advances will build on the
application of basic knowledge. This is
not to say that the technologies
discussed are anything but up to date,
because new technology can of course be
applied to well defined processes. Yet
despite this philosophy and given the
likely significance of gene therapy and
DNA vaccines, the production of DNA for
use as a medicine is still perhaps a
notable omission.
It was refreshing to find in a text of
this sort that chapters had been included
on subjects such as the business of
biotechnology, process economics and the
public’s perceptions of biotechnology.
These are topics that have previously been
overlooked in texts of this ilk aimed at the
undergraduate reader. Hopefully this
indicates a growing trend by which students
embarking on careers within the biological
sciences are encouraged to consider more
carefully the economic implications of
research and appreciate that during the
course of their careers they are likely to
have to fulfill roles as decision-makers
within organizations. However, the
continued reluctance of editors such as
Ratledge and Kristianson to include
sections of any substance on regulatory
affairs, validation or current good
TRENDS in Biotechnology Vol.20 No.2 February 2002
http://tibtech.trends.com 0167-7799/02/$ – see front matter © 2002 Elsevier Science Ltd. All rights reserved. PII: S0167-7799(01)01866-2
87Forum