Literature DB >> 19727614

Database systems for knowledge-based discovery.

Sarma A R P Jagarlapudi1, K V Radha Kishan.   

Abstract

Several database systems have been developed to provide valuable information from the bench chemist to biologist, medical practitioner to pharmaceutical scientist in a structured format. The advent of information technology and computational power enhanced the ability to access large volumes of data in the form of a database where one could do compilation, searching, archiving, analysis, and finally knowledge derivation. Although, data are of variable types the tools used for database creation, searching and retrieval are similar. GVK BIO has been developing databases from publicly available scientific literature in specific areas like medicinal chemistry, clinical research, and mechanism-based toxicity so that the structured databases containing vast data could be used in several areas of research. These databases were classified as reference centric or compound centric depending on the way the database systems were designed. Integration of these databases with knowledge derivation tools would enhance the value of these systems toward better drug design and discovery.

Entities:  

Mesh:

Year:  2009        PMID: 19727614     DOI: 10.1007/978-1-60761-274-2_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

Review 1.  The influence of the 'organizational factor' on compound quality in drug discovery.

Authors:  Paul D Leeson; Stephen A St-Gallay
Journal:  Nat Rev Drug Discov       Date:  2011-09-30       Impact factor: 84.694

2.  A lead discovery strategy driven by a comprehensive analysis of proteases in the peptide substrate space.

Authors:  Sai Chetan K Sukuru; Florian Nigsch; Jean Quancard; Martin Renatus; Rajiv Chopra; Natasja Brooijmans; Dmitri Mikhailov; Zhan Deng; Allen Cornett; Jeremy L Jenkins; Ulrich Hommel; John W Davies; Meir Glick
Journal:  Protein Sci       Date:  2010-11       Impact factor: 6.725

3.  Differentially expressed RNA from public microarray data identifies serum protein biomarkers for cross-organ transplant rejection and other conditions.

Authors:  Rong Chen; Tara K Sigdel; Li Li; Neeraja Kambham; Joel T Dudley; Szu-Chuan Hsieh; R Bryan Klassen; Amery Chen; Tuyen Caohuu; Alexander A Morgan; Hannah A Valantine; Kiran K Khush; Minnie M Sarwal; Atul J Butte
Journal:  PLoS Comput Biol       Date:  2010-09-23       Impact factor: 4.475

4.  Analysis of in vitro bioactivity data extracted from drug discovery literature and patents: Ranking 1654 human protein targets by assayed compounds and molecular scaffolds.

Authors:  Christopher Southan; Kiran Boppana; Sarma Arp Jagarlapudi; Sorel Muresan
Journal:  J Cheminform       Date:  2011-05-13       Impact factor: 5.514

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.