Computer aided design techniques applications (53 résultats)

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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 368 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

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Taschenbuch. Etat : Neu. Molecular Docking for Computer-Aided Drug Design | Fundamentals, Techniques, Resources and Applications | Mohane S Coumar | Taschenbuch | Englisch | 2021 | Elsevier Science | EAN 9780128223123 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu.…

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Buch. Etat : Neu. Neuware - The use of computers to design two-dimensional or three-dimensional models of physical objects is known as computer-aided design. Computer-aided design (CAD) systems and software are used to prepare drawings and specifications in architecture, electronics and automotive engineering. Mathematical models and numerical functions are crucial components of the three-dimensional (3D) models. Raster and vector graphics are the two methods of CAD. The function of raster graphics is to save the image in a matrix as a series of dots or pixels. Images are saved as collections of lines, circles, and intersecting angles within vector graphics. CAD software are used within different engineering disciplines to visualize product designs in 3D. The recent advancements in CAD technology include augmented and virtual technologies, synchronous modeling, topology improvement, and generative design. This book outlines the techniques and applications of computer-aided design in detail. As this field is emerging at a rapid pace, its contents will help the readers understand the modern concepts and applications of the subject.…

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Etat : New. To gain and keep the competitive advantage, companies must continually strive to create better products. Computer-aided design (CAD), computer-aided engineering (CAE), and computer-aided manufacturing (CAM) are the industry standards. This title offers the reader a comprehensive treatment of the techniques and applications of CAD, CAE, and CAM. Editor(s): Leondes, Cornelius T. Num Pages: 360 pages, 31 black & white tables. BIC Classification: TBJ; TGPC; UGC. Category: (G) General (US: Trade); (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 254 x 178 x 23. Weight in Grams: 808. . 2000. 1st Edition. hardcover. . . . .…

Buch. Etat : Neu. Neuware - Integrate QSAR, molecular docking, AI, and nanotechnology into drug design Computational approaches now drive critical decisions at every stage of drug discovery and development. Computer-Aided Drug Design: Principles, Techniques, and Applications provides an in-depth treatment of CADD methodologies, from QSAR and molecular docking to pharmacophore mapping and virtual screening. Written by Ajmer Singh Grewal, a pharmaceutical chemistry researcher with nearly 13 years of experience, each chapter links theoretical foundations directly to real-world drug design applications. Computer-Aided Drug Design covers molecular and quantum mechanics, energy minimization, ADMET prediction, de novo drug design, and homology modeling. The book integrates artificial intelligence, machine learning, and nanotechnology into its treatment of contemporary drug discovery workflows. Case studies demonstrate practical use of computational tools, connecting technique-level detail to tangible outcomes in anticancer, anti-diabetic, anti-inflammatory, and Alzheimer's therapeutic research programs. Readers will also find: - Detailed coverage of QSAR modeling, molecular docking protocols, and pharmacophore mapping with step-by-step computational methodologies for each technique- Integration of artificial intelligence and machine learning approaches into structure-based and ligand-based drug design workflows- Practical guidance on ADMET prediction tools and their application to optimizing drug candidate selectivity and efficacy- Real-world case studies linking computational modeling to therapeutic outcomes across multiple disease areas including oncology and neurodegeneration- Coverage of de novo drug design, homology modeling, and virtual screening techniques with current computational tools and software platforms Designed for pharmaceutical scientists, computational chemists, bioinformatics and cheminformatics professionals, and advanced postgraduate students, this reference connects foundational CADD principles with current AI-driven and nanotechnology-enhanced approaches. It serves as a practical resource for researchers and drug developers seeking to apply computational methods across the drug discovery pipeline.…