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Titlebook: Approaching Complex Diseases; Network-Based Pharma Mariano Bizzarri Book 2020 Springer Nature Switzerland AG 2020 Efficiency of multi-targe

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發(fā)表于 2025-3-21 17:57:53 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Approaching Complex Diseases
期刊簡稱Network-Based Pharma
影響因子2023Mariano Bizzarri
視頻videohttp://file.papertrans.cn/161/160338/160338.mp4
發(fā)行地址The first book to systematically cover the issue of how to integrate network biology, systems biology and polypharmacology.The only book dealing with the proposal of a paradigm shift in drug discovery
學(xué)科分類Human Perspectives in Health Sciences and Technology
圖書封面Titlebook: Approaching Complex Diseases; Network-Based Pharma Mariano Bizzarri Book 2020 Springer Nature Switzerland AG 2020 Efficiency of multi-targe
影響因子.This volume – for pharmacologists, systems biologists, philosophers and historians of medicine – points to investigate new avenues in pharmacology research, by providing a full assessment of the premises underlying a radical shift in the pharmacology paradigm. The pharmaceutical industry is currently facing unparalleled challenges in developing innovative drugs. While drug-developing scientists in the 1990s mostly welcomed the transformation into a target-based approach, two decades of experience shows that this model is failing to boost both drug discovery and efficiency. Selected targets were often not druggable and with poor disease linkage, leading to either high toxicity or poor efficacy. Therefore, a profound rethinking of the current paradigm is needed. Advances in systems biology are revealing a phenotypic robustness and a network structure that strongly suggest that exquisitely selective compounds, compared with multitarget drugs, may exhibit lower than desired clinical efficacy. This appreciation of the role of polypharmacology has significant implications for tackling the two major sources of attrition in drug development, efficacy and toxicity. Integrating network biol
Pindex Book 2020
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Darstellung der empirischen Untersuchung,ical strategies to derive knowledge from data using labor intensive, inefficient, and costly practices. Complicating the task of data analysis even further, a lot of useful information about drug activities has been historically described in publications and scientific reports in .. This naturally r
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https://doi.org/10.1007/978-3-8350-5437-0ecognition that the crisis stemmed from an acritical (and sometimes dull) application of statistical methods to the experimental results is the basis for re- examine the quantitative approaches to biology. Here we give a proof-of-concept of how the prophetic statements made by Weaver (one of the fat
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Darstellung der empirischen Untersuchung, of the type of cancer. PO therapy is designed to inhibit the effects of putative oncogenic mutations that supposedly drive tumorigenesis, but this approach has only improved the clinical outcomes of a picked minority of patients, as PO-based treatments almost universally fail to eradicate the tumor
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https://doi.org/10.1007/978-3-642-95832-8o abrogate cancer progression. Herein, we aimed to systematize the information regarding steps of EMT that can be druggable and potential therapeutics that can be used to suppress epithelial-mesenchymal plasticity. EMT can be targeted through its suppression or reversal in cancer cells directly. Des
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