| Title |
AtlasCBS: a web server to map and explore chemico-biological space
|
|---|---|
| Published in |
Perspectives in Drug Discovery and Design, July 2012
|
| DOI | 10.1007/s10822-012-9587-5 |
| Pubmed ID | |
| Authors |
Álvaro Cortés-Cabrera, Antonio Morreale, Federico Gago, Celerino Abad-Zapatero |
| Abstract |
New approaches are needed that can help decrease the unsustainable failure in small-molecule drug discovery. Ligand Efficiency Indices (LEI) are making a great impact on early-stage compound selection and prioritization. Given a target-ligand database with chemical structures and associated biological affinities/activities for a target, the AtlasCBS server generates two-dimensional, dynamical representations of its contents in terms of LEI. These variables allow an effective decoupling of the chemical (angular) and biological (radial) components. BindingDB, PDBBind and ChEMBL databases are currently implemented. Proprietary datasets can also be uploaded and compared. The utility of this atlas-like representation in the future of drug design is highlighted with some examples. The web server can be accessed at http://ub.cbm.uam.es/atlascbs and https://www.ebi.ac.uk/chembl/atlascbs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 5% |
| Germany | 1 | 5% |
| Romania | 1 | 5% |
| Unknown | 16 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 32% |
| Student > Ph. D. Student | 4 | 21% |
| Other | 2 | 11% |
| Professor | 2 | 11% |
| Student > Master | 2 | 11% |
| Other | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 7 | 37% |
| Agricultural and Biological Sciences | 4 | 21% |
| Medicine and Dentistry | 3 | 16% |
| Computer Science | 2 | 11% |
| Social Sciences | 1 | 5% |
| Other | 3 | 16% |
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 20 July 2012.
All research outputs
#20,723,696
of 25,457,858 outputs
Outputs from Perspectives in Drug Discovery and Design
#817
of 949 outputs
Outputs of similar age
#140,018
of 178,539 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#3
of 3 outputs
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