|Publisher:||CRC Press; 1 edition (August 26, 2020)|
|Category:||Math and Science|
|Other formats:||mobi lrf rtf doc|
This book develops topics that describe the discrete mathematics behind an important application of mathematics such as optimization problems, cryptography, and coding.
Discrete Mathematics Applied to QSAR and Beyond Taylor&Francis 9781439806623 : Summarizes results related to chemical structures that go beyond molecular stability and energetics, addressing. This book develops topics that describe the discrete mathematics behind an important application of mathematics such as optimization problems, cryptography, and coding.
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Basics and applications of QSARs in drug design’. 8) Protein structure characterization 9) Mathematical aspects of QSAR and molecular similarity Chapters written by some.
Relative effectiveness of topological, geometrical, and quantum chemical parameters in estimating mutagenicity of chemicals, . Grunwald, in Quantitative Structure-activity Relationships in Environmental Sciences VII, F. Chen and G. Schuurmann, Eds, SETAC Press, Pensacola, F. pp. 245–261 (1998). Basics and applications of QSARs in drug design’. 1. 5 pm to . 0 pm. Valediction.
by Milan Randic · Book Discrete Mathematics Applied t. .ISBN: 978-1-4398-0662-3. ISBN-10: 1-4398-0662-4.
Structure - Property Relationship. Molecular Descriptors. Discrete Mathematics in Chemistry. Chemical Enumerations. Library of Molecular Descriptors. QSAR Scientists and molecular modelers; bioscience graduates and professionals; and chemistry undergraduates and graduates with an interest in the relationship between chemical structure and function.
Series: QSAR in Environmental and Health Sciences (Book 4).
QSARs are being applied in many disciplines for example risk assessment, toxicity prediction, and . Topological Indices and Related Descriptors in QSAR and QSPAR. Boca Raton: CRC. ISBN 90-5699-239-2.
QSARs are being applied in many disciplines for example risk assessment, toxicity prediction, and regulatory decisions in addition to drug discovery and lead optimization. Hendrik Timmerman; Todeschini, Roberto; Viviana Consonni; Raimund Mannhold; Hugo Kubinyi (2002). Roy K, Ghosh G (November 2007).
Endocrine Disruption Modeling (QSAR in Environmental and Health Sciences). Download (pdf, . 6 Mb) Donate Read. Epub FB2 mobi txt RTF. Converted file can differ from the original. If possible, download the file in its original format.
Three dimensional QSAR: Applications in Pharmacology and Toxicology (QSAR in Environmental and Health Sciences). QSAR and Molecular Modeling Studies in Heterocyclic Drugs I. Jean Pierre Doucet, Annick Panaye. Категория: Математика, Прикладная математика. Satya Prakash Gupta. 5 Mb. Endocrine Disruption Modeling (QSAR in Environmental and Health Sciences).
SAR QSAR Environ Res 17: 133–gle Scholar. In: Pavan M, Todeschini R (eds) Data handling in science and technology, vol 27. Elsevier, Amsterdam, pp 97–109Google Scholar. Int J Mol Sci 10: 1628–ogle Scholar. Carpineto C, Romano G (2004) Concept data analysis.
Theoretical chemistry has been dominated by quantum chemistry to such an extent that the potential of discrete mathematics has focused on combinatorial and topological properties of discrete objects. This book summarizes results related to chemical structures that go beyond molecular stability and energetics, addressing such topics as molecular similarity, QSAR, QSPR characterization of DNA and proteins, as well as DNA and protein alignment. Broad in scope, including bioinformatics topics and proteomics maps, it presents an outline of molecular descriptors that considers aromaticity of benzenoid and non-benzenoid compounds, properties of conjugated polymers, and stabilities of fullerenes.