Titlebook: CADD and Informatics in Drug Discovery; Mithun Rudrapal,Johra Khan Book 2023 The Editor(s) (if applicable) and The Author(s), under exclus

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https://doi.org/10.1007/978-3-642-58653-8search procedures. For the drug development process, there are several computer programs or tools with a wide range of applications, accuracy, and methodologies available on a global scale. For molecular modeling, docking, and protein conformation, ADMET predictions, pharmacophore mapping, visualiza

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https://doi.org/10.1007/3-211-37844-8 be an effective alternate to the conventional drug discovery process. The traditional or de novo techniques of drug development are costly and time-consuming, and they do not always result in the discovery of new molecular entities (NME). Developing and identifying new rational uses for medicinal m

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Nachhaltige Entwicklung durch Qualit?tvelopment of new anticancer therapies by the merging of experimental and computational methodologies. By analyzing successful models from the literature, we want to present a holistic picture of the current status of computer-assisted anticancer drug development. The limits of each classic in silico

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,Führung — Management — Leitung, host, protein-protein interaction of host, and the pathogen. This leads to a better treatment and also sets a platform to know further effects of drug in later stages as it can cause long-term effects. The drugs administered must be capable of inducing molecules like blocker that stops multiplicati

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2730-7069 rug design approaches (SBDD, LBDD, .de novo. drug design, pharmacophore-based search), bioinformatics tools and databases, computational screening and modeling of phytochemicals/natural products, artificial int978-981-99-1318-3978-981-99-1316-9Series ISSN 2730-7069 Series E-ISSN 2730-7077

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