Quantitative structure-activity relationships (QSARs) represent predictive models derived from the application of statistical tools correlating biological activity or other properties of chemicals with descriptors representative of molecular structure and/or property.
Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment discusses recent advancements in the field of QSARs with special reference to their application in drug development, predictive toxicology, and chemical risk analysis. Focusing on emerging research in the field, this book is an ideal reference source for industry professionals, students, and academicians in the fields of medicinal chemistry and toxicology.
چکیده فارسی
روابط کمّی ساختار-فعالیت (QSAR) مدلهای پیشبینیکنندهای را نشان میدهد که از کاربرد ابزارهای آماری مرتبط با فعالیت بیولوژیکی یا سایر خواص مواد شیمیایی با توصیفگرهایی که نماینده ساختار و/یا ویژگی مولکولی هستند به دست میآیند.
روابط کمی ساختار-فعالیت در طراحی دارو، سم شناسی پیش بینی کننده و ارزیابی خطر پیشرفت های اخیر در زمینه QSAR ها را با اشاره ویژه به کاربرد آنها در توسعه دارو، سم شناسی پیش بینی کننده و تجزیه و تحلیل خطر شیمیایی مورد بحث قرار می دهد. . این کتاب با تمرکز بر تحقیقات در حال ظهور در این زمینه، یک منبع مرجع ایده آل برای متخصصان صنعت، دانشجویان و دانشگاهیان در زمینه های شیمی دارویی و سم شناسی است.
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Ebook details:
عنوان: Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment
نویسنده: Medicine & Health Science Books @ Amazon.com
ناشر: IGI Global; 1 edition (February 28, 2015)
زبان: English
شابک: 1466681365, 978-1466681361
حجم: 25 Mb
فرمت: True Pdf
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An introduction to the basic concepts in QSAR aided drug design / Maryam Hamzeh-Mivehroud, Babak Sokouti, Siavoush Dastmalchi --
The ETA indices in QSAR/QSPR/QSTR research / Kunal Roy, Rudra Narayan Das --
Evolution of multivariate image analysis in QSAR : the case for a neglected disease / Matheus Puggina de Freitas, Mariene Helena Duarte --
Quantitative structure-activity/property/toxicity relationships through conceptual density functional theory based reactivity descriptors / Sudip Pan, Ashutosh Gupta, Venkatesan Subramanian, Pratim Kumar Chattaraj --
Importance of applicability domain of QSAR models / Kunal Roy, Supratik Kar --
QSAR of antioxidants / Omar Deeb, Mohammad Goodarzi --
QSAR studies on bacterial efflux pump inhibitors / Khac-Minh Thai, Trong-Nhat Do, Thuy-Viet-Phuong Nguyen, Khanh-Tho D. Nguyen, Thanh-Dao Tran --
Integrated in silico methods for the design and optimization of novel drug candidates : a case study on fluoroquinolones mycobacterium tuberculosis DNA gyrase Inhibitors / Nikola Minovski, Marjana Novi --
Computational approaches for the discovery of novel hepatitis C Virus NS3/4A and NS5B inhibitors / Khac-Minh Thai, Quoc-Hiep Dong, Thi-Thanh-Lan Nguyen, Duy-Phong Le, Minh-Tri Le, Thanh-Dao Tran --
QSAR models towards cholinesterase inhibitors for the treatment of Alzheimer's disease / C. Gopi Mohan, Shikhar Gupta --
Ligand and structure based drug design of non-steroidal aromatase inhibitors (NSAIs) in breast cancer / Tarun Jha, Nilanjan Adhikari, Amit Kumar Halder, Chanchal Mondal, Achintya Saha --
Computational techniques application in environmental exposure assessment / Karolina Jagiello, Tomasz Puzyn --
QSAR based studies of nanomaterials in the environment / Valeria V. Kleandrova, Feng Luan, Alejandro Speck-Planche, M. Natália D.S. Cordeiro --
Quantitative nanostructure-activity relationship models for the risk assessment of nanomaterials / Eleni Vrontaki, Thomas Mavromoustakos, Georgia Melagraki, Antreas Afantitis --
QSPR/QSAR analyses by means of the CORAL software: results, challenges, perspectives : CORAL software : results, challenges, perspectives / Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati, Orazio Nicolotti, Angelo Carotti, Karel Nesmerak, Aleksandar M. Veselinovi, Jovana B. Veselinovi, Pablo R. Duchowicz, Daniel Bacelo, Eduardo A. Castro, Bakhtiyor F. Rasulev, Danuta Leszczynska, Jerzy Leszczynski.
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