There are five main subject areas in this volume in the series on medicinal chemistry. The first is a review of the understanding of Alzheimer's disease and the development of drugs for its treatment; the second, looking at recent efforts in modifying a naturally occuring anticancer (campothecin) for chemotherapy; the third covers the problem of getting a drug to a specific site within the context of phosphates and phosphonates; a survey of sterilization using aldehydes for the destruction of microbes both inside and outside the human body is reviewed in the fourth; and the last chapter is an account of the progress made in the biologically active enantiomer for complex synthetic asymmetric drug molecules.

As well as guidance on modifying the source code of programs, Microcomputers in Biochemistry: A Practical Approach also provides essential information on networking and expert systems, which are necessary in order to access and exploit fully the wealth of biochemical data held on computers.

The purpose of the present text is to distil the experience of a number of workers active in the field of biochemical education, so providing readable accounts which, it is hoped, will be of significant benefit to those who are new to the teaching profession in addition to those who may be stimulated to experiment with alternative strategies in their own teaching situation. From the various contributions considered in this book, each topic, in its widest sense, would warrant at least a volume on its own and indeed such texts are currently available. However, it was felt more appropriate to restrict the coverage to those aspects which are of particular use to the subject of biochemistry and, for which, work in this area has already achieved some measure of success. In effect what each of us is doing is supplying findings from a body of knowledge collectively called educational technology. Without entering the debate on the semantics of what educational technology is or is not, it doesn't take long to realise that, like the vast majority of subject areas, it has its own unique terminologies and vocabulary. Whilst it is inevitable that such terms will appear throughout the text, hopefully all will be explained on first use and so it is not envisaged that this will be too distractive to the reader.

First multi-year cumulation covers six years: 1965-70.

This book explores the impact of eLearning on the quality of teaching in higher education, focusing on three main issues: university teachers’ perception of quality teaching, their strategies for achieving quality teaching in practice, and interventions that design and implement online collaborative activities in a large class. The book argues that if eLearning targets the real problems in practice and is appropriately designed and implemented, it can improve the teaching quality at universities. It also demonstrates the complexity of teachers’ perception of quality teaching and contextual factors that affect teaching practice and quality. Further, it explores university teachers’ perception of quality teaching in Italy, the UK and China – an aspect that is rarely addressed in the literature – and reveals why the impact of ICTs on university teaching is not as great as in other fields by explaining the issues that threaten the quality of day-to-day teaching. Lastly, it confirms that traditional lecturing, combined with online collaborative activities, improves the quality of teaching compared to traditional lecturing alone. As such, this book is a necessary and important resource for the research community.

This comprehensive text offers a solid introduction to the biochemical principles and skills required for any researcher applying computational tools to practical problems in biochemistry. Each chapter includes an introduction to the topic, a review of the biological concepts involved, a discussion of the programming and applications used, key references, and problem sets and answers. Providing detailed coverage of biochemical structures, enzyme reactions, metabolic simulation, genomic and proteomic analyses, and molecular modeling, this is the perfect resource for students and researchers in biochemistry, bioinformatics, bioengineering and computational science.