Literature DB >> 27322405

Using DrugBank for In Silico Drug Exploration and Discovery.

David S Wishart1, Anthony Wu1.   

Abstract

DrugBank is a fully curated drug and drug target database that contains 8174 drug entries including 1944 FDA approved small-molecule drugs, 198 FDA-approved biotech (protein/peptide) drugs, 93 nutraceuticals, and over 6000 experimental drugs. Additionally, 4300 non-redundant protein (i.e., drug target/enzyme/transporter/carrier) sequences are linked to these drug entries. DrugBank is primarily focused on providing both the query/search tools and biophysical data needed to facilitate drug discovery and drug development. This unit provides readers with a detailed description of how to effectively use the DrugBank database and how to navigate through the DrugBank Web site. It also provides specific examples of how to find chemical homologs of potential drug leads and how to identify potential drug targets from newly sequenced tumor samples. The intent of this unit is to give readers an introduction to the field of Web-based drug discovery and to show how cheminformatics can be seamlessly integrated into the field of bioinformatics. © 2016 by John Wiley & Sons, Inc.
Copyright © 2016 John Wiley & Sons, Inc.

Entities:  

Keywords:  bioinformatics; chemical; database; drug; drug target

Mesh:

Substances:

Year:  2016        PMID: 27322405     DOI: 10.1002/cpbi.1

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  9 in total

1.  DrugBank 5.0: a major update to the DrugBank database for 2018.

Authors:  David S Wishart; Yannick D Feunang; An C Guo; Elvis J Lo; Ana Marcu; Jason R Grant; Tanvir Sajed; Daniel Johnson; Carin Li; Zinat Sayeeda; Nazanin Assempour; Ithayavani Iynkkaran; Yifeng Liu; Adam Maciejewski; Nicola Gale; Alex Wilson; Lucy Chin; Ryan Cummings; Diana Le; Allison Pon; Craig Knox; Michael Wilson
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

2.  Mining Drug-Target Associations in Cancer: Analysis of Gene Expression and Drug Activity Correlations.

Authors:  Monica M Arroyo; Alberto Berral-González; Santiago Bueno-Fortes; Diego Alonso-López; Javier De Las Rivas
Journal:  Biomolecules       Date:  2020-04-25

3.  Study on the Potential Mechanism of Fructus Tribuli in the Treatment of Hypertensive Vascular Remodeling Based on Network Pharmacology and Molecular Docking.

Authors:  Shuyue Wang; Fei Guo; Xiaochen Sun; Xiao Song; Yaohui Yuan; Chao Zhang; Guitao Lin; Huagang Sheng
Journal:  Evid Based Complement Alternat Med       Date:  2021-01-08       Impact factor: 2.629

Review 4.  Resources and computational strategies to advance small molecule SARS-CoV-2 discovery: lessons from the pandemic and preparing for future health crises.

Authors:  Natesh Singh; Bruno O Villoutreix
Journal:  Comput Struct Biotechnol J       Date:  2021-04-26       Impact factor: 7.271

5.  Carnosine to Combat Novel Coronavirus (nCoV): Molecular Docking and Modeling to Cocrystallized Host Angiotensin-Converting Enzyme 2 (ACE2) and Viral Spike Protein.

Authors:  Loai M Saadah; Ghina'a I Abu Deiab; Qosay Al-Balas; Iman A Basheti
Journal:  Molecules       Date:  2020-11-28       Impact factor: 4.411

Review 6.  Worldwide Protein Data Bank (wwPDB): A virtual treasure for research in biotechnology.

Authors:  Payam Behzadi; Márió Gajdács
Journal:  Eur J Microbiol Immunol (Bp)       Date:  2021-12-15

7.  Network Pharmacology-Based Combined with Experimental Validation Study to Explore the Underlying Mechanism of Agrimonia pilosa Ledeb. Extract in Treating Acute Myocardial Infarction.

Authors:  Muqing Zhang; Jian Chen; Yanwei Wang; Guobin Kang; Yixin Zhang; Xue Han
Journal:  Drug Des Devel Ther       Date:  2022-09-15       Impact factor: 4.319

8.  Identification of novel drug targets in bovine respiratory disease: an essential step in applying biotechnologic techniques to develop more effective therapeutic treatments.

Authors:  Meena Kishore Sakharkar; Karthic Rajamanickam; Ramesh Chandra; Haseeb A Khan; Abdullah S Alhomida; Jian Yang
Journal:  Drug Des Devel Ther       Date:  2018-05-07       Impact factor: 4.162

9.  Network Pharmacology Identifies the Mechanisms of Action of TaohongSiwu Decoction Against Essential Hypertension.

Authors:  Tian-Hao Liu; Wei-Hao Chen; Xu-Dong Chen; Qiu-Er Liang; Wen-Cong Tao; Zhen Jin; Ya Xiao; Li-Guo Chen
Journal:  Med Sci Monit       Date:  2020-03-18
  9 in total

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