Published August 28, 2006
by Springer .
Written in English
Topics in Heterocyclic Chemistry
|The Physical Object|
|Number of Pages||278|
QSAR and Molecular Modeling Studies in Heterocyclic Drugs I (Topics in Heterocyclic Chemistry) (v. 1) [Gupta, S.P.] on *FREE* shipping on qualifying offers. QSAR and Molecular Modeling Studies in Heterocyclic Drugs I (Topics in Heterocyclic Chemistry) (v. 1)Format: Hardcover. Structural Information and Drug–Enzyme Interaction of the Non-Nucleoside Reverse Transcriptase Inhibitors Based on Computational Chemistry Approaches Supa Hannongbua Pages QSAR and Molecular Modeling Studies in Heterocyclic Drugs II (Topics in Heterocyclic Chemistry) (v. 2) th Edition by S.P. Gupta (Editor, Contributor), M.K. Gupta (Contributor), D. Format: Hardcover. QSAR and molecular modeling studies in heterocyclic drugs. Berlin ; New York: Springer, (OCoLC) Material Type: Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: Satya Prakash Gupta; R Bahal.
Genre/Form: Electronic books: Additional Physical Format: Print version: Qsar and molecular modeling studies in heterocyclic drugs I. Berlin ; New York: Springer, © QSAR and Molecular Modeling Studies in Heterocyclic Drugs II | Dimitra Hadjipavlou-Litina (auth.), Satya Prakash Gupta (eds.) | download | B–OK. Download books for free. Find books. In silico Studies on PPARγ Agonistic Heterocyclic Systems In book: QSAR and Molecular Modeling Studies in Heterocyclic Drugs I, pp for antidyslipidemic drugs, but the molecular. Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment describes the historical evolution of quantitative structure-activity relationship (QSAR) approaches and their fundamental principles. This book includes clear, introductory coverage of the statistical methods applied in QSAR and new QSAR techniques, such as HQSAR and G-QSAR.
QSAR and Molecular Docking Studies of the Inhibitory Activity of Novel Heterocyclic GABA Analogues over GABA-AT by Josué Rodríguez-Lozada 1, Erika Tovar-Gudiño 1, Juan Alberto Guevara-Salazar 2, Rodrigo Said Razo-Hernández 3, Ángel Santiago 3, Nina Pastor 3 and Mario Fernández-Zertuche 1,*Cited by: 1. Quantitative structure–activity relationship modeling is one of the major computational tools employed in medicinal chemistry. However, throughout its entire history it has drawn both praise and criticism concerning its reliability, limitations, successes, and failures. In this paper, we discuss (i) the development and evolution of QSAR; (ii) the current trends, unsolved problems, . It has been found that using numerical indices derived from protein—2-dimensional molecular graphics for QSAR studies is simpler than having to work with the 3D protein structures . ii Certificate This is to certify that the thesis entitled “QSAR, Molecular Modeling, Design and Synthesis of Phosphodiesterase Antagonists” submitted by Mr. Anand Gaurav for the award of the Degree of Doctor of Philosophy in Pharmaceutical Sciences to School of Pharmaceutical Sciences, Shobhit Institute of Engineering & Technology, a.