Download Qsar And Spectral Sar In Computational Ecotoxicology ebook PDF or Read Online books in PDF, EPUB, and Mobi Format. Click Download or Read Online button to QSAR AND SPECTRAL SAR IN COMPUTATIONAL ECOTOXICOLOGY book pdf for free now.

Qsar And Spectral Sar In Computational Ecotoxicology

Author : Mihai V. Putz
ISBN : 9781926895130
Genre : Science
File Size : 32.92 MB
Format : PDF, ePub, Mobi
Download : 764
Read : 1158

QSAR and SPECTRAL-SAR in Computational Ecotoxicology presents a collection of studies based on the epistemological bulk data-information-knowledge of the chemicals used in green chemistry. It assesses a specific model of pattern characterization of concerned active substances at the bio-, eco-, and pharmacologic levels through unitary formulation of the effector-receptor binding degree potential, including the logistic type by employing a computational algebraic quantitative structure-activity relationship (QSAR) model called SPECTRAL-SAR. It aims to minimize the residual recorded activities in the experiments that study the enzymic, ionic liquid, antagonists, and allosteric inhibition interactions. The book covers: The classic QSAR approach The new SPECTRAL-SAR approach How to draw SPECTRAL-SAR maps for predicting ecotoxicological mechanisms for a given series of toxicants and single or multi-species in an open system Biological activity as related to chemical reactivity through associate descriptors This book will be very useful in advanced courses on computational ecotoxicology, drug design and interaction, methods in quantum and computational chemistry, chemical molding, chemical bonding, and others.
Category: Science

Quantum Nanochemistry Volume Five

Author : Mihai V. Putz
ISBN : 9781498729574
Genre : Medical
File Size : 79.42 MB
Format : PDF, Docs
Download : 884
Read : 448

Volume 5 of the 5-volume Quantum Nanochemistry focuses on modeling and predicting of the enzyme kinetics and quantitative structure-activity relationships. It reveals the quantum implications to bio-organic and bio-inorganic systems, to enzyme kinetics, and to pharmacophore binding sites of chemical-biological interaction of molecules through cell membranes in targeting specific bindings modeled by celebrated QSARs (Quantitative Structure-Activity Relationships) here reshaped as Qu-SAR (Quantum Structure-Activity Relationships).
Category: Medical

Advances In Mathematical Chemistry And Applications

Author : Subhash C. Basak
ISBN : 9781681080529
Genre : Science
File Size : 36.17 MB
Format : PDF, Kindle
Download : 721
Read : 369

Advances in Mathematical Chemistry and Applications highlights the recent progress in the emerging discipline of discrete mathematical chemistry. Editors Subhash C. Basak, Guillermo Restrepo, and Jose Luis Villaveces have brought together 27 chapters written by 68 internationally renowned experts in these two volumes. Each volume comprises a wise integration of mathematical and chemical concepts and covers numerous applications in the field of drug discovery, bioinformatics, chemoinformatics, computational biology, mathematical proteomics, and ecotoxicology. Volume 2 explores deeper the topics introduced in Volume 1, with numerous additional topics such as topological approaches for classifying fullerene isomers; chemical reaction networks; discrimination of small molecules using topological molecular descriptors; GRANCH methods for the mathematical characterization of DNA, RNA and protein sequences; linear regression methods and Bayesian techniques; in silico toxicity prediction methods; drug design; integration of bioinformatics and systems biology, molecular docking, and molecular dynamics; metalloenzyme models; protein folding models; molecular periodicity; generalized topologies and their applications; and many more. Brings together both the theoretical and practical aspects of the fundamental concepts of mathematical chemistry Covers applications in diverse areas of physics, chemistry, drug discovery, predictive toxicology, systems biology, chemoinformatics, and bioinformatics About half of the book focuses primarily on current work, new applications, and emerging approaches for the mathematical characterization of essential aspects of molecular structure, while the other half describes applications of structural approach to new drug discovery, virtual screening, protein folding, predictive toxicology, DNA structure, and systems biology
Category: Science

Exotic Properties Of Carbon Nanomatter

Author : Mihai V. Putz
ISBN : 9789401795678
Genre : Science
File Size : 88.88 MB
Format : PDF, Docs
Download : 195
Read : 634

This title reports the state-of-the-art advancements in modeling and characterization of fundamental and the recently designed carbon based nanocomposites (graphenes, fullerenes, polymers, crystals and allotropic forms). Written by leading experts in the field, the book explores the quantification, indexing, and interpretation of physical and chemical exotic properties related with space-time structure-evolution, phase transitions, chemical reactivity, and topology. Exotic Properties of Carbon Nanomatter is aimed at researchers in academia and industry.
Category: Science

Recent Advances In Qsar Studies

Author : Tomasz Puzyn
ISBN : 1402097832
Genre : Science
File Size : 38.8 MB
Format : PDF, ePub, Mobi
Download : 309
Read : 1100

This book presents an interdisciplinary overview on the most recent advances in QSAR studies. The first part consists of a comprehensive review of QSAR methodology. The second part highlights the interdisciplinary aspects and new areas of QSAR modelling.
Category: Science

Computational Toxicology

Author : Bruce A. Fowler
ISBN : 9780123965080
Genre : Computers
File Size : 40.32 MB
Format : PDF, Kindle
Download : 527
Read : 395

Computational Toxicology: Methods and Applications for Risk Assessment is an essential reference on the translation of computational toxicology data into information that can be used for more informed risk assessment decision-making. This book is authored by leading international investigators who have real-world experience in relating computational toxicology methods to risk assessment. Key topics of interest include QSAR modeling, chemical mixtures, applications to metabolomic and metabonomic data sets, toxicogenomic analyses, applications to REACH informational strategies and much more. The examples provided in this book are based on cutting-edge technologies and set out to stimulate the further development of this promising field to offer rapid, better and more cost-effective answers to major public health concerns. Authored by leading international researchers engaged in cutting-edge applications of computational methods for translating complex toxicological data sets into useful risk assessment information Incorporates real-world examples of how computational toxicological methods have been applied to advance the science of risk assessment Provides the framework necessary for new technologies and fosters common vocabularies and principles upon which the effects of new chemical entities should be compared
Category: Computers

A Primer On Qsar Qspr Modeling

Author : Kunal Roy
ISBN : 9783319172811
Genre : Science
File Size : 67.49 MB
Format : PDF, ePub, Mobi
Download : 874
Read : 1140

This brief goes back to basics and describes the Quantitative structure-activity/property relationships (QSARs/QSPRs) that represent predictive models derived from the application of statistical tools correlating biological activity (including therapeutic and toxic) and properties of chemicals (drugs/toxicants/environmental pollutants) with descriptors representative of molecular structure and/or properties. It explains how the sub-discipline of Cheminformatics is used for many applications such as risk assessment, toxicity prediction, property prediction and regulatory decisions apart from drug discovery and lead optimization. The authors also present, in basic terms, how QSARs and related chemometric tools are extensively involved in medicinal chemistry, environmental chemistry and agricultural chemistry for ranking of potential compounds and prioritizing experiments. At present, there is no standard or introductory publication available that introduces this important topic to students of chemistry and pharmacy. With this in mind, the authors have carefully compiled this brief in order to provide a thorough and painless introduction to the fundamental concepts of QSAR/QSPR modelling. The brief is aimed at novice readers.
Category: Science

Quantitative Structure Activity Relationship Qsar Models Of Mutagens And Carcinogens

Author : Romualdo Benigni
ISBN : 0203010825
Genre : Science
File Size : 30.27 MB
Format : PDF, Mobi
Download : 299
Read : 1333

Applied with success in a number of areas, QSAR studies have become particularly popular in the rational design of drugs and pesticides. Much has been published on the principles of QSAR in this area, but not on their application s to toxic chemicals. This book provides the first comprehensive, interdisciplinary presentation of QSAR studies on chemical mutagens and carcinogens. It synthesizes the body of knowledge and recent advances in this rapidly emerging field through the contributions of leading experts from around the world. Quantitative Structure-Activity Relationship (QSAR) Models of Mutagens and Carcinogens focuses on the use of QSAR modeling in predicting and designing compounds for synthesis and testing of cancer drugs. The authors clearly show how QSAR can contribute to the elucidation of mechanisms, to identifying toxic chemicals solely by their chemical structure, and to the design of safer chemicals. The contents include a general introduction to QSAR theory and extensive reviews of virtually all existing QSAR models.
Category: Science

Quantitative Structure Activity Relationships Of Drugs

Author : John Topliss
ISBN : 9780323146876
Genre : Medical
File Size : 61.4 MB
Format : PDF, ePub, Mobi
Download : 635
Read : 217

Medicinal Chemistry, Volume 19: Quantitative Structure-Activity Relationships of Drugs is a critical review of the applications of various quantitative structure-activity relationship (QSAR) methodologies in different drug therapeutic areas and discusses the results in terms of their contribution to medicinal chemistry. After briefly describing the developments in QSAR research, this 12-chapter volume goes on discussing the contributions of QSAR methodology in elucidating drug action and rational development of drugs against bacterial, fungal, viral, and other parasitic infections of man. Other chapters explore the mode of action and QSAR of antitumor, cardiovascular, antiallergic, antiulcer, antiarthritic, and nonsteroidal antiinflammatory drugs (NSAID) agents. The discussion then shifts to the pharmacologic effects and QSAR analysis of central nervous system agents, steroids, and other hormones. A chapter examines the major chemicals affecting insects and mites, with particular emphasis on the parameters of binding correlation and reactivity for insect and mite enzymes. The concluding chapters cover the limitations of the QSAR approach in the quantitative treatment of drug absorption, distribution, and metabolism. This volume is of great value to medicinal chemists, scientists, and researchers.
Category: Medical

Three Dimensional Qsar

Author : Jean Pierre Doucet
ISBN : 9781420091168
Genre : Science
File Size : 73.16 MB
Format : PDF, ePub, Mobi
Download : 274
Read : 882

As a result of new statistical and mathematical approaches, improved visualization tools, and recognition by international regulatory groups, quantitative structure-activity relationships (QSARs) now play important roles in pharmacology for the design of new drugs as well as in toxicology and ecotoxicology for hazard identification and risk assessment. Providing up-to-date coverage of the field, Three Dimensional QSAR: Applications in Pharmacology and Toxicology presents the most recent QSAR methods and illustrates their scope, advantages, and limitations. Part I The first part of the book addresses CoMFA and related methods, such as CoMSIA, FLUFF, SOMFA. It also describes shape-, surface-, and volume-based approaches, including MSA, excluded volume, LIV, HASL, receptor surface model, COMPASS, and CoMSA. Part II Focusing on methods that use 3D information, the second part covers autocorrelation methods, such as GRIND; similarity-based methods, including similarity matrices and quantum similarity indices; and quantitative spectroscopic data–activity relationships. Some applications in data mining are also explored. Part III The third part deals with post-3D models. The authors discuss the adaptation of the receptor and simultaneous presence of several conformers or solvation mechanisms. Part IV The final part presents receptor-related approaches as well as docking and free energy calculations, which are treated at various levels. This part concerns the extensive sampling of phase space and approximate methods, such as linear interaction energy, Poisson–Boltzmann, and generalized Born models. A case study covering several parallel approaches is also developed. An appendix offers the basic principles of modeling and statistical tools routinely required in QSAR methodologies, including optimization methods, molecular mechanics and dynamics, multivariate analysis, nonlinear models, and evolutionary techniques. It provides newcomers with the concepts necessary to fully grasp the essentials of these methods and gives a basic grounding in their correct use. Illustrated with numerous examples and a color insert, this book supplies a clear overview of the strengths and weaknesses of 3D-QSAR approaches. It explains how these modern techniques can link the biological activity of chemicals to their structure, encompassing both their 2D structural formulae and 3D geometry.
Category: Science