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Handbook of Carbohydrate-Modifying Biocatalysts
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Author:
Peter GrünwaldNumber Of Downloads:
64
Number Of Reads:
39
Language:
English
File Size:
36.24 MB
Category:
Natural ScienceSection:
Pages:
1039
Quality:
good
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888
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Book Description
This book provides an actual overview of the structure, function, and application of carbohydrate-modifying biocatalysts. Carbohydrates have been disregarded for a long time by the scientific community, mainly due to their complex structure. Meanwhile, the situation changed with increasing knowledge about the key role carbohydrates play in biological processes such as recognition, signal transduction, immune responses, and others. An outcome of research activities in glycoscience is the development of several new pharmaceuticals against serious diseases such as malaria, cancer, and various storage diseases. Furthermore, the employment of carbohydrate-modifying biocatalysts―enzymes as well as microorganisms―will contribute significantly to the development of environmentally friendly processes boosting a shift of the chemical industry from petroleum- to bio-based production of chemicals from renewable resources.
The updated content of the second edition of this book has been extended by discussing the current state of the art of using recombinantly expressed carbohydrate-modifying biocatalysts and the synthesis of minicellulosomes in connection with consolidated bioprocessing of lignocellulosic material. Furthermore, a synthetic biology approach for using DAHP-dependent aldolases to catalyze asymmetric aldol reactions is presented.
Peter Grünwald
Peter Grünwald heads the machine learning group at CWI in Amsterdam, the Netherlands. He is also full professor of Statistical Learning at the mathematical institute of Leiden University. Currently the President of the Association for Computational Learning, the organization running COLT, the world’s prime annual conference on machine learning theory, he was co-program chair of COLT in 2015 and also chaired UAI – another top ML conference – in 2010/2011. Apart from publishing at ML venues like NIPS, COLT and UAI, he also regularly contributes to statistics journals such as the Annals of Statistics. He is the author of the book The Minimum Description Length Principle, (MIT Press, 2007; see here for an up-to-date (2020), much shorter introduction), which has become the standard reference for the MDL approach to learning. In 2010 he was co-awarded the Van Dantzig prize, the highest Dutch award in statistics and operations research. He received NWO VIDI (2005), VICI (2010) and TOP-1 (2016) grants.
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