| Title |
HDACiDB: a database for histone deacetylase inhibitors
|
|---|---|
| Published in |
Drug Design, Development and Therapy, April 2015
|
| DOI | 10.2147/dddt.s78276 |
| Pubmed ID | |
| Authors |
Kasi Murugan, Shanmugasamy Sangeetha, Shanmugasamy Ranjitha, Antony Vimala, Saleh Al-Sohaibani, Gopal Rameshkumar |
| Abstract |
An histone deacetylase (HDAC) inhibitor database (HDACiDB) was constructed to enable rapid access to data relevant to the development of epigenetic modulators (HDAC inhibitors [HDACi]), helping bring precision cancer medicine a step closer. Thousands of HDACi targeting HDACs are in various stages of development and are being tested in clinical trials as monotherapy and in combination with other cancer agents. Despite the abundance of HDACi, information resources are limited. Tools for in silico experiments on specific HDACi prediction, for designing and analyzing the generated data, as well as custom-made specific tools and interactive databases, are needed. We have developed an HDACiDB that is a composite collection of HDACi and currently comprises 1,445 chemical compounds, including 419 natural and 1,026 synthetic ones having the potential to inhibit histone deacetylation. Most importantly, it will allow application of Lipinski's rule of five drug-likeness and other physicochemical property-based screening of the inhibitors. It also provides easy access to information on their source of origin, molecular properties, drug likeness, as well as bioavailability with relevant references cited. Being the first comprehensive database on HDACi that contains all known natural and synthetic HDACi, the HDACiDB may help to improve our knowledge concerning the mechanisms of actions of available HDACi and enable us to selectively target individual HDAC isoforms and establish a new paradigm for intelligent epigenetic cancer drug design. The database is freely available on the http://hdacidb.bioinfo.au-kbc.org.in/hdacidb/website. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 2 | 6% |
| United Kingdom | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 27 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 29% |
| Student > Bachelor | 5 | 16% |
| Researcher | 4 | 13% |
| Student > Master | 3 | 10% |
| Professor > Associate Professor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 6 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 26% |
| Medicine and Dentistry | 4 | 13% |
| Chemistry | 3 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 9 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 May 2015.
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#22,778,604
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Outputs from Drug Design, Development and Therapy
#1,757
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Outputs of similar age from Drug Design, Development and Therapy
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