Literature DB >> 19429507

A chemogenomic approach to drug discovery: focus on cardiovascular diseases.

Montserrat Cases1, Jordi Mestres.   

Abstract

References to individual protein targets and bioactive small molecules associated with cardiovascular diseases can be found in multiple bibliographic sources. From mining these sources, a highly curated list of 214 cardiovascular targets was collected and organised using functional classification schemes for the main protein families of therapeutic relevance, namely, enzymes, G-protein-coupled receptors, ion channels, and nuclear receptors. This list was then used to interrogate annotated chemical libraries and extract a chemical space of 44032 small molecules connected to 160 targets. Some of these bioactive ligands were also found to have affinity for an additional set of 421 proteins not linked originally to cardiovascular diseases, thus constituting a valuable indirect source to complete the cardiovascular target space and infer a potential off-cardiovascular target space.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19429507     DOI: 10.1016/j.drudis.2009.02.010

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  15 in total

1.  Structural and Activity Profile Relationships Between Drug Scaffolds.

Authors:  Ye Hu; Jürgen Bajorath
Journal:  AAPS J       Date:  2015-02-20       Impact factor: 4.009

2.  Drug repurposing: far beyond new targets for old drugs.

Authors:  T I Oprea; J Mestres
Journal:  AAPS J       Date:  2012-07-24       Impact factor: 4.009

3.  Transporter-mediated Efflux Influences CNS Side Effects: ABCB1, from Antitarget to Target.

Authors:  Fabio Broccatelli; Emanuele Carosati; Gabriele Cruciani; Tudor I Oprea
Journal:  Mol Inform       Date:  2010-01-12       Impact factor: 3.353

Review 4.  A generalizable pre-clinical research approach for orphan disease therapy.

Authors:  Chandree L Beaulieu; Mark E Samuels; Sean Ekins; Christopher R McMaster; Aled M Edwards; Adrian R Krainer; Geoffrey G Hicks; Brendan J Frey; Kym M Boycott; Alex E Mackenzie
Journal:  Orphanet J Rare Dis       Date:  2012-06-15       Impact factor: 4.123

5.  Quantitative modeling of dose-response and drug combination based on pathway network.

Authors:  Jiangyong Gu; Xinzhuang Zhang; Yimin Ma; Na Li; Fang Luo; Liang Cao; Zhenzhong Wang; Gu Yuan; Lirong Chen; Wei Xiao; Xiaojie Xu
Journal:  J Cheminform       Date:  2015-05-16       Impact factor: 5.514

6.  Combining machine learning systems and multiple docking simulation packages to improve docking prediction reliability for network pharmacology.

Authors:  Kun-Yi Hsin; Samik Ghosh; Hiroaki Kitano
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

7.  A machine learning approach to predicting protein-ligand binding affinity with applications to molecular docking.

Authors:  Pedro J Ballester; John B O Mitchell
Journal:  Bioinformatics       Date:  2010-03-17       Impact factor: 6.937

8.  FRAGSITE: A Fragment-Based Approach for Virtual Ligand Screening.

Authors:  Hongyi Zhou; Hongnan Cao; Jeffrey Skolnick
Journal:  J Chem Inf Model       Date:  2021-03-16       Impact factor: 4.956

9.  A system-level investigation into the mechanisms of Chinese Traditional Medicine: Compound Danshen Formula for cardiovascular disease treatment.

Authors:  Xiuxiu Li; Xue Xu; Jinan Wang; Hua Yu; Xia Wang; Hongjun Yang; Haiyu Xu; Shihuan Tang; Yan Li; Ling Yang; Luqi Huang; Yonghua Wang; Shengli Yang
Journal:  PLoS One       Date:  2012-09-04       Impact factor: 3.240

10.  CVDHD: a cardiovascular disease herbal database for drug discovery and network pharmacology.

Authors:  Jiangyong Gu; Yuanshen Gui; Lirong Chen; Gu Yuan; Xiaojie Xu
Journal:  J Cheminform       Date:  2013-12-18       Impact factor: 5.514

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.