Name
Abstract | ||
|---|---|---|
Our main objective was to compile a data set of high-quality protein-fragment complexes and make it publicly available. Once as:rambled, the data set was challenged using docking procedures to address the following questions: (i) Can molecular docking correctly reproduce the experimentally solved structures? (ii) How thorough must the sampling be to replicate the experimental data? (iii) Can commonly used scoring functions discriminate between the native pose and other energy minima? The data set, named SERAPhiC (Selected Fragment Protein Complexes), is publicly available in a ready-to-dock format (http://www.iit.it/en/drug-discovery-and-development/seraphic.html). It offers computational medicinal chemists a reliable test set for both in silico protocol assessment and software development. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1021/ci2003363 | JOURNAL OF CHEMICAL INFORMATION AND MODELING |
Field | DocType | Volume |
Data mining,Docking (molecular),Experimental data,Computer science,Docking (dog),Maxima and minima,Bioinformatics,Software development,Test set,In silico | Journal | 51 |
Issue | ISSN | Citations |
11 | 1549-9596 | 4 |
PageRank | References | Authors |
0.51 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angelo D. Favia | 1 | 7 | 1.69 |
| Giovanni Bottegoni | 2 | 86 | 7.15 |
| Irene Nobeli | 3 | 39 | 3.53 |
| Paola Bisignano | 4 | 16 | 3.43 |
| Andrea Cavalli | 5 | 17 | 3.15 |