| Title |
Ligand binding site superposition and comparison based on Atomic Property Fields: identification of distant homologues, convergent evolution and PDB-wide clustering of binding sites
|
|---|---|
| Published in |
BMC Bioinformatics, February 2011
|
| DOI | 10.1186/1471-2105-12-s1-s35 |
| Pubmed ID | |
| Authors |
Maxim Totrov |
| Abstract |
A new binding site comparison algorithm using optimal superposition of the continuous pharmacophoric property distributions is reported. The method demonstrates high sensitivity in discovering both, distantly homologous and convergent binding sites. Good quality of superposition is also observed on multiple examples. Using the new approach, a measure of site similarity is derived and applied to clustering of ligand binding pockets in PDB. |
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 States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 4% |
| Italy | 1 | 2% |
| Indonesia | 1 | 2% |
| Czechia | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 48 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 24% |
| Researcher | 11 | 20% |
| Student > Doctoral Student | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Professor > Associate Professor | 5 | 9% |
| Other | 10 | 19% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 35% |
| Chemistry | 15 | 28% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Computer Science | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Other | 4 | 7% |
| Unknown | 3 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 February 2012.
All research outputs
#14,724,943
of 22,663,150 outputs
Outputs from BMC Bioinformatics
#5,030
of 7,242 outputs
Outputs of similar age
#151,771
of 197,836 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 39 outputs
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