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ერთეულის #:
18591695
Methods and Algorithms for Molecular Docking-based Drug Design and Discovery Advances in Chemical and Materials Engineering 1st Edition
ერთეულის #:
18591695
GEL 1000
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Siavoush Dastmalchi and Maryam Hamzeh-Mivehroud are talented academics with extensive experience in medicinal chemistry and molecular modeling.
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What Stands Out
Comprehensive Insights
Offers in-depth exploration of molecular docking methods, enhancing understanding for researchers and practitioners in drug design and discovery.
Latest Techniques
Presents cutting-edge algorithms that streamline the drug discovery process, addressing critical challenges faced by scientists in therapeutics development.
Expert Contributions
Includes contributions from leading experts in the field, ensuring high-quality insights and practical applications for advancing pharmaceutical research.
Პროდუქტის აღწერილობა
- Focuses on the role of computational approaches in drug design and development
- Presents emerging research on computer-assisted design methods for drugs
- Emphasizes the benefits and improvements of molecular docking in the pharmaceutical industry
- Covers validation methods, search algorithms, and scoring functions
- A pivotal resource for professionals, researchers, students, and practitioners in theoretical and computational chemistry
- Part of the Advances in Chemical and Materials Engineering series
| Item Weight | 3 lbs (1.36 kg) |
Სახიფათო საქონელი
სახიფათო საქონლის განბაჟების პროცესის შეფერხების თავიდან აცილების მიზნით, გადაზიდული საქონელი გაიხსნება ჩვენს საწყობში სახიფათო კომპონენტების სიმწვავის შესამოწმებლად. Please see the list of Dangerous goods here.
Who Should Buy?
-
Molecular Pharmacologists
This book provides essential insights and methodologies for pharmacologists engaged in drug discovery and development.
-
Biochemists Studying Interactions
Useful for biochemists focusing on molecular interactions in drug design, enhancing their understanding of docking algorithms.
-
Graduate Students
Ideal for graduate students in chemistry or drug design, offering a solid introduction to molecular docking techniques.
-
Casual Readers
Not suitable for casual readers as it emphasizes technical aspects of molecular docking that require prior knowledge.
-
General Audiences
General audiences may find the content too specialized and technical, lacking broader appeal outside scientific communities.
-
Non-Scientific Professionals
Professionals outside scientific fields may not benefit from the complexities of molecular docking methodologies discussed in this book.
პროდუქტის აღწერილობა
Methods and Algorithms for Molecular Docking-based Drug Design and Discovery Advances in Chemical and Materials Engineering 1st Edition
გაქვთ რაიმე შეკითხვა? მოგვმართეთ ჩათში
მომხმარებელთა შეკითხვები და პასუხები
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კითხვა:
What is the main focus of 'Methods and Algorithms for Molecular Docking-Based Drug Design and Discovery'?
პასუხი: The book focuses on contemporary methods and algorithms associated with molecular docking, an essential technique in drug design and discovery. It explores various computational strategies used to predict the preferred orientation of small molecules when bound to a target protein. These insights are crucial for researchers and professionals in biochemistry and pharmaceutical industries aiming to optimize drug candidates more effectively. -
კითხვა:
Who is the intended audience for this book?
პასუხი: This book is primarily intended for researchers, practitioners, and advanced students in the fields of chemistry, biochemistry, and pharmacology. Those involved in molecular modeling and drug design will find it particularly valuable, as it offers a comprehensive overview of state-of-the-art techniques and methodologies that are critical for innovation in medicinal chemistry and drug development. -
კითხვა:
What are some of the key methodologies covered in the book?
პასუხი: The book covers several advanced methodologies including molecular dynamics simulations, docking algorithms, scoring functions, and virtual screening techniques. Each method is explained in detail, highlighting its advantages and applications in real-world scenarios. These methodologies enable researchers to systematically evaluate interaction patterns between drugs and their biological targets, which is fundamental in the early stages of drug discovery. -
კითხვა:
How can this book aid in improving drug discovery processes?
პასუხი: By providing insights into efficient computational techniques, this book can significantly enhance the drug discovery process. The methodologies outlined allow for the rapid assessment of thousands of compounds, streamlining the identification of promising drug candidates. This accelerates research timelines and increases the likelihood of successful drug development by focusing resources on highly potential candidates. -
კითხვა:
Does the book include practical examples or case studies?
პასუხი: Yes, the book includes practical examples and case studies that illustrate the application of the discussed methodologies. These real-life scenarios help bridge the gap between theory and practice, offering readers a clearer understanding of how the algorithms can be utilized to tackle actual challenges faced in drug design. Such insights empower practitioners to adapt the methodologies to their specific research needs. -
კითხვა:
What is the significance of molecular docking in drug design?
პასუხი: Molecular docking is significant in drug design as it helps predict how a drug molecule will interact with a target protein at the atomic level. This predictive modeling informs researchers about the binding affinity and mode of action of new compounds, vital for the development of effective therapeutics. It allows for a more targeted approach to drug development, leading to higher success rates in clinical outcomes. -
კითხვა:
Can the algorithms discussed in the book be used in academic research?
პასუხი: Absolutely, the algorithms and methods discussed in the book are suitable for academic research settings. They can be employed by students, researchers, and faculty members who are involved in pharmacology and medicinal chemistry projects. Utilizing these advanced techniques can strengthen academic research by providing cutting-edge insights into drug interactions and aiding in the discovery of novel therapeutics. -
კითხვა:
Are there any prerequisites to understanding the content of this book?
პასუხი: While the book is designed for intermediate to advanced readers, a foundational understanding of molecular biology, chemistry, and computational modeling is beneficial. Readers who have previous exposure to drug design concepts will be able to engage with the material more effectively. However, the text is structured to also support those willing to delve into new methods, making it accessible for ambitious learners. -
კითხვა:
What unique features does this book offer compared to other resources in drug design?
პასუხი: This book stands out due to its focused examination of molecular docking algorithms, providing in-depth analysis not commonly found in broader pharmacology textbooks. It also emphasizes computational techniques with an emphasis on their practical implementation in drug discovery, along with comprehensive explanations that facilitate easier comprehension of complex concepts. This resource serves as both a tutorial and a reference for serious researchers. -
კითხვა:
Where can I buy 'Methods and Algorithms for Molecular Docking-Based Drug Design and Discovery' in Georgia?
პასუხი: You can purchase 'Methods and Algorithms for Molecular Docking-Based Drug Design and Discovery' at Ubuy, a reliable e-commerce platform that offers a wide selection of books and resources. Ubuy provides an accessible way to obtain this valuable text, ensuring it is available for professionals and students interested in advancing their understanding of drug design methods.
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მახასიათებლები და უპირატესობები
- Siavoush Dastmalchi and Maryam Hamzeh-Mivehroud are experienced academics in the field of medicinal chemistry and molecular modeling.
- They have taught various courses in these subjects at the graduate and postgraduate levels.
- Their research interests include molecular modeling, structural biology, and chemo-bioinformatics for drug discovery.
- Maryam Hamzeh-Mivehroud specializes in QSAR and molecular modeling using different algorithms and machine learning methods.
- Both authors have a strong background in bioinformatics and have published numerous research papers in their respective fields.
- Their expertise makes them a valuable resource for anyone interested in these subjects.