Network Pharmacology -

Network Pharmacology (eBook)

Shao Li (Herausgeber)

eBook Download: PDF
2021 | 1st ed. 2021
XVII, 468 Seiten
Springer Singapore (Verlag)
978-981-16-0753-0 (ISBN)
Systemvoraussetzungen
106,99 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

This book introduces 'network pharmacology' as an emerging frontier subject of systematic drug research in the era of artificial intelligence and big data. Network Pharmacology is an original subject of fusion system biology, bioinformatics, network science and other related disciplines. It emphasizes on starting from the overall perspective of the system level and biological networks, the analysis of the laws of molecular association between drugs and their treatment objects, reveals the systematic pharmacological mechanisms of drugs, and guides the research and development of new drugs and clinical diagnosis and treatment. After it was proposed, network pharmacology has been paid attention by researchers, and it has been rapidly developed and widely used.

In order to systematically reveal the biological basis of diagnosis and treatment in traditional Chinese medicine and modern medicine, we proposed a new concept of 'network target' for the first time, which has become the core theory of 'network pharmacology'. The core principle of a network target is to construct a biological network that can be used to decipher complex diseases. The network is then used as the therapeutic target, to which multicomponent remedies are applied.

This book mainly includes four parts: 1) The concept and theory of network pharmacology; 2) Common analysis methods, databases and software in network pharmacological research; 3) Typical cases of traditional Chinese medicine modernization and modern drug research based on network pharmacology; 4) Network pharmacology practice process based on drugs and diseases.



Dr. Shao Li is a tenured professor at Tsinghua University, the director of TCM (traditional Chinese medicine)-X center, and the deputy director of Bioinformatics Division, BNRist. He proposed the 'network target' concept and methodology to shift the 'one target, one drug' approach, and is exploring a new way to the Precision Chinese Medicine on inflammation and cancer from a network and systems perspective. He is the founder of TCM network pharmacology, and the Chairman of Specialty committee of network pharmacology, World Federation of Chinese Medicine Societies (WFCMS). He published over 150 papers in leading journals such as Molecular Systems Biology, Cancer Research, and Cell Reports, which have been cited more than 4000 times. He held over 30 US and China patents. His works were highlighted by Nature China, F1000, and made the headline in The Wall Street Journal, which was selected as one of 'The World top 10 news of TCM in 2014' by WFCMS. He was honored Li Shizhen Pharmaceutical Innovation Award (China Association of Chinese Medicine, 2019), National Ten-Thousand Talents Program (2019), National Outstanding Young Scientist Award (2012), Young and middle-aged leading talents in science and technology innovation (2018), National Science & Technology Award (2004), National Education Award (2009), and National Excellent Doctoral Dissertation (2003).

This book introduces "e;network pharmacology"e; as an emerging frontier subject of systematic drug research in the era of artificial intelligence and big data. Network Pharmacology is an original subject of fusion system biology, bioinformatics, network science and other related disciplines. It emphasizes on starting from the overall perspective of the system level and biological networks, the analysis of the laws of molecular association between drugs and their treatment objects, reveals the systematic pharmacological mechanisms of drugs, and guides the research and development of new drugs and clinical diagnosis and treatment. After it was proposed, network pharmacology has been paid attention by researchers, and it has been rapidly developed and widely used.In order to systematically reveal the biological basis of diagnosis and treatment in traditional Chinese medicine and modern medicine, we proposed a new concept of "e;network target"e; for the first time, which has become thecore theory of "e;network pharmacology"e;. The core principle of a network target is to construct a biological network that can be used to decipher complex diseases. The network is then used as the therapeutic target, to which multicomponent remedies are applied.This book mainly includes four parts: 1) The concept and theory of network pharmacology; 2) Common analysis methods, databases and software in network pharmacological research; 3) Typical cases of traditional Chinese medicine modernization and modern drug research based on network pharmacology; 4) Network pharmacology practice process based on drugs and diseases.
Erscheint lt. Verlag 29.9.2021
Zusatzinfo XVII, 468 p. 163 illus., 119 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Medizin / Pharmazie Gesundheitsfachberufe
Medizin / Pharmazie Medizinische Fachgebiete Pharmakologie / Pharmakotherapie
Medizin / Pharmazie Pflege
Medizin / Pharmazie Pharmazie PTA / PKA
Naturwissenschaften Biologie Genetik / Molekularbiologie
Schlagworte Artificial Intelligence • drug discovery • modernization of Traditional Chinese medicine • Network Pharmacology • revealing mechanisms of diseases
ISBN-10 981-16-0753-2 / 9811607532
ISBN-13 978-981-16-0753-0 / 9789811607530
Informationen gemäß Produktsicherheitsverordnung (GPSR)
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 18,2 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Discover tactics to decrease churn and expand revenue

von Jeff Mar; Peter Armaly

eBook Download (2024)
Packt Publishing (Verlag)
25,19