Name
Abstract | ||
|---|---|---|
We apply a recently published method of text-based molecular similarity searching (LINGO) to standard data sets for the purpose of quantifying the accuracy of the approach. Our implementation is based on a pattern-matching finite state machine (FSM) which results in fast search times. The accuracy of LINGO is demonstrated to be comparable to that of a path-based fingerprint and offers a simple yet effective method for similarity searching. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1021/ci6002152 | JOURNAL OF CHEMICAL INFORMATION AND MODELING |
Keywords | Field | DocType |
finite state machine,similarity search | Data mining,Data set,Effective method,Computer science,Theoretical computer science,Fingerprint,Finite-state machine | Journal |
Volume | Issue | ISSN |
46 | 5 | 1549-9596 |
Citations | PageRank | References |
10 | 0.60 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J Andrew Grant | 1 | 177 | 16.57 |
| James A. Haigh | 2 | 23 | 1.38 |
| Barry T. Pickup | 3 | 163 | 15.93 |
| Anthony Nicholls | 4 | 464 | 39.97 |
| Roger A. Sayle | 5 | 83 | 10.20 |