By Lawrence E. Hunter
The huge, immense volume of knowledge generated through the Human Genome undertaking and different large-scale organic study has created a wealthy and not easy area for examine in man made intelligence. those unique contributions supply a present sampling of AI techniques to difficulties of organic value; they're the 1st to regard the computational wishes of the biology neighborhood hand-in-hand with applicable advances in man made intelligence. concentrating on novel applied sciences and ways, instead of on confirmed purposes, they disguise genetic series research, protein constitution illustration and prediction, computerized info research aids, and simulation of organic structures. a quick introductory primer on molecular biology and Al provides computing device scientists enough history to appreciate a lot of the biology mentioned within the book.Lawrence Hunter is Director of the computer studying undertaking on the nationwide Library of medication, nationwide Institutes of Health.
Though it is a previous ebook (from 1993) nonetheless has sturdy primers &touches introductory topics.
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Extra info for Artificial Intelligence and Molecular Biology (American Association for Artificial Intelligence)
Bionet is an excellent source for information and contacts with computationally sophisticated biologists. 8. Conclusion AI researchers have often had unusual relationships with their collaborators. “Experts” are somehow “knowledge engineered” so that what they know can be put into programs. Biology has a long history of collaborative research, and it does not match this AI model. Computer scientists and biologists often have differing expectations about collaboration, education, conferences and many other seemingly mundane aspects of research.
Both crystallography and NMR techniques result in static protein structures, which are to some degree misleading. Proteins are flexible, and the patterns of their movement are likely to play an important role in their function. Although NMR has the potential to provide information about this facet of protein activity, there is very little data available currently. 1 Computational Biology In the last five years, biologists have come to understand that sharing the results of experiments now takes more than simple journal publication.
This map allows researchers to relate behaviors to particular cells, to trace the effects of genetic mutations very specifically, and perhaps to gain insight into the mechanisms of aging as well as development. A large, highly integrated picture and text database of information about the cell fates, genetic maps and sequences, mutation effects and other relevant information about C. elegans is currently under construction at the University of Arizona. D. melanogaster Drosophila melanogaster, a common fruit fly, has long been a staple of classical genetics research.
Artificial Intelligence and Molecular Biology (American Association for Artificial Intelligence) by Lawrence E. Hunter