國立高雄大學圖資館 |

Language: English

Back

Network pharmacology

Li, Shao.

Network pharmacology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Network pharmacologyedited by Shao Li.
other author:	Li, Shao.
Published:	Singapore :Springer Singapore :2021.
Description:	xvii, 468 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	PharmacologyData processing.
Online resource:	https://doi.org/10.1007/978-981-16-0753-0
ISBN:	9789811607530$q(electronic bk.)

Network pharmacology
Network pharmacology[electronic resource] /edited by Shao Li. - Singapore :Springer Singapore :2021. - xvii, 468 p. :ill., digital ;24 cm.

Chapter 1. 'Network Target' Theory and Network Pharmacology -- Chapter 2. Application of Network Pharmacology Based on Artificial Intelligence Algorithm in Drug R & D -- Chapter 3. Commonly used Network Pharmacology Database -- Chapter 4. Commonly used Network Pharmacology Software -- Chapter 5. Network Pharmacology and TCM Modernization Case Studies -- Chapter 6. Network Pharmacology and Modern Drug R & D Cases -- Chapter 7. Drug-based Network Pharmacology Practice Process -- Chapter 8. Disease-based Network Pharmacology Practice Process -- Chapter 9. Drug-disease-based Network Pharmacology Practice Process.

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.

ISBN: 9789811607530$q(electronic bk.)

Standard No.: 10.1007/978-981-16-0753-0doiSubjects--Topical Terms:

252145
Pharmacology
--Data processing.

LC Class. No.: RM301

Dewey Class. No.: 615.1

Network pharmacology
LDR:03172nmm a2200325 a 4500 001 609237
003 DE-He213
005 20210929090726.0
006 m d
007 cr nn 008maaau
008 220222s2021 si s 0 eng d
020 $a 9789811607530$q(electronic bk.)
020 $a 9789811607523$q(paper)
024 7 $a 10.1007/978-981-16-0753-0 $2 doi
035 $a 978-981-16-0753-0
040 $a GP $c GP
041 0 $a eng
050 4 $a RM301
072 7 $a MMG $2 bicssc
072 7 $a MED071000 $2 bisacsh
072 7 $a MKG $2 thema
082 0 4 $a 615.1 $2 23
090 $a RM301 $b .N476 2021
245 0 0 $a Network pharmacology $h [electronic resource] / $c edited by Shao Li.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xvii, 468 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1. 'Network Target' Theory and Network Pharmacology -- Chapter 2. Application of Network Pharmacology Based on Artificial Intelligence Algorithm in Drug R & D -- Chapter 3. Commonly used Network Pharmacology Database -- Chapter 4. Commonly used Network Pharmacology Software -- Chapter 5. Network Pharmacology and TCM Modernization Case Studies -- Chapter 6. Network Pharmacology and Modern Drug R & D Cases -- Chapter 7. Drug-based Network Pharmacology Practice Process -- Chapter 8. Disease-based Network Pharmacology Practice Process -- Chapter 9. Drug-disease-based Network Pharmacology Practice Process.
520 $a 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.
650 0 $a Pharmacology $x Data processing. $3 252145
650 1 4 $a Pharmacology/Toxicology. $3 273652
650 2 4 $a Pharmacy. $3 218145
650 2 4 $a Bioinformatics. $3 194415
700 1 $a Li, Shao. $3 906765
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-16-0753-0
950 $a Biomedical and Life Sciences (SpringerNature-11642)