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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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31#
發(fā)表于 2025-3-26 21:26:33 | 只看該作者
Informatics: Tools and Databases in Drug Discovery,search 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
32#
發(fā)表于 2025-3-27 04:14:15 | 只看該作者
33#
發(fā)表于 2025-3-27 05:18:24 | 只看該作者
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發(fā)表于 2025-3-27 12:08:51 | 只看該作者
35#
發(fā)表于 2025-3-27 16:23:41 | 只看該作者
Artificial Intelligence and Machine Learning in Drug Discovery,le of the AI/ML in the drug discovery process with the application and limitations and future approaches. We anticipate that as more scientists become aware of its potential, the usage of AI/ML in the drug discovery will continue to expand in the search of new drugs.
36#
發(fā)表于 2025-3-27 19:34:17 | 只看該作者
37#
發(fā)表于 2025-3-28 00:35:04 | 只看該作者
38#
發(fā)表于 2025-3-28 02:40:27 | 只看該作者
Drug Repurposing and Computational Drug Discovery for Viral Infections and COVID-19, 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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發(fā)表于 2025-3-28 09:51:53 | 只看該作者
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發(fā)表于 2025-3-28 13:58:21 | 只看該作者
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