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Computational Approaches in Cheminformatics and Bioinformatics
herausgegeben von Rajarshi Guha und Andreas BenderA breakthrough guide employing knowledge that unitescheminformatics and bioinformatics as innovation for the future
Bridging the gap between cheminformatics and bioinformatics forthe first time, Computational Approaches in Cheminformatics andBioinformatics provides insight on how to blend these two sciencesfor progressive research benefits. It describes the development andevolution of these fields, how chemical information may be used forbiological relations and vice versa, the implications of these newconnections, and foreseeable developments in the future.
Using algorithms and domains as workflow tools, thisrevolutionary text drives bioinformaticians to consider chemicalstructure, and similarly, encourages cheminformaticians to considerlarge biological systems such as protein targets and networks.
Computational Approaches in Cheminformatics and Bioinformaticscovers:
* Data sources available for modelling and prediction purposes
* Developments of conventional Quantitative Structure-ActivityRelationships (QSAR)
* Computational tools for manipulating chemical and biologicaldata
* Novel ways of probing the interactions between small moleculesand proteins
Also including insight from public (NIH), academic, andindustrial sources (Novartis, Pfizer), this book offers expertknowledge to aid scientists through industry and academic study. The invaluable applications for drug discovery, cellular andmolecular biology, enzymology, and metabolism make ComputationalApproaches in Cheminformatics and Bioinformatics the essentialguidebook for evolving drug discovery research and alleviating theissue of chemical control and manipulation of various systems.
Bridging the gap between cheminformatics and bioinformatics forthe first time, Computational Approaches in Cheminformatics andBioinformatics provides insight on how to blend these two sciencesfor progressive research benefits. It describes the development andevolution of these fields, how chemical information may be used forbiological relations and vice versa, the implications of these newconnections, and foreseeable developments in the future.
Using algorithms and domains as workflow tools, thisrevolutionary text drives bioinformaticians to consider chemicalstructure, and similarly, encourages cheminformaticians to considerlarge biological systems such as protein targets and networks.
Computational Approaches in Cheminformatics and Bioinformaticscovers:
* Data sources available for modelling and prediction purposes
* Developments of conventional Quantitative Structure-ActivityRelationships (QSAR)
* Computational tools for manipulating chemical and biologicaldata
* Novel ways of probing the interactions between small moleculesand proteins
Also including insight from public (NIH), academic, andindustrial sources (Novartis, Pfizer), this book offers expertknowledge to aid scientists through industry and academic study. The invaluable applications for drug discovery, cellular andmolecular biology, enzymology, and metabolism make ComputationalApproaches in Cheminformatics and Bioinformatics the essentialguidebook for evolving drug discovery research and alleviating theissue of chemical control and manipulation of various systems.
