scholarly journals Introduction to AdaIndex — an Adaptive Similarity Search Algorithm in General Metric Spaces

10.5772/8097 ◽  
2009 ◽  
Author(s):  
Tao Ban ◽  
Youki Kadobayashi
Keyword(s):  
Similarity Search ◽  
Metric Spaces ◽  
Search Algorithm

An approximate median search algorithm in non-metric spaces

2001 ◽  
Vol 22 (10) ◽  
pp. 1145-1151 ◽  
Author(s):  
Luisa Micó ◽  
Jose Oncina
Keyword(s):  
Metric Spaces ◽  
Search Algorithm

Distributed similarity search algorithm in distributed heterogeneous multimedia databases

2000 ◽  
Vol 75 (1-2) ◽  
pp. 35-42 ◽  
Author(s):  
Ju-Hong Lee ◽  
Deok-Hwan Kim ◽  
Seok-Lyong Lee ◽  
Chin-Wan Chung ◽  
Guang-Ho Cha
Keyword(s):  
Similarity Search ◽  
Search Algorithm ◽  
Multimedia Databases

scholarly journals Efficient Similarity Search in Metric Spaces with Cluster Reduction

2012 ◽  
pp. 70-84 ◽  
Author(s):  
Luis G. Ares ◽  
Nieves R. Brisaboa ◽  
Alberto Ordóñez Pereira ◽  
Oscar Pedreira
Keyword(s):  
Similarity Search ◽  
Metric Spaces ◽  
Cluster Reduction

scholarly journals Accelerating Drug Discovery by Early Protein Drug Target Prediction Based on a Multi-Fingerprint Similarity Search †

Molecules ◽  
2019 ◽  
Vol 24 (12) ◽  
pp. 2233 ◽  
Author(s):  
Michele Montaruli ◽  
Domenico Alberga ◽  
Fulvio Ciriaco ◽  
Daniela Trisciuzzi ◽  
Anna Rita Tondo ◽  
...  
Keyword(s):  
Drug Discovery ◽  
Small Molecules ◽  
Similarity Search ◽  
Drug Targets ◽  
Search Algorithm ◽  
Confidence Score ◽  
Database Management System ◽  
Therapeutic Drug ◽  
Protein Drug ◽  
Early Protein

In this continuing work, we have updated our recently proposed Multi-fingerprint Similarity Search algorithm (MuSSel) by enabling the generation of dominant ionized species at a physiological pH and the exploration of a larger data domain, which included more than half a million high-quality small molecules extracted from the latest release of ChEMBL (version 24.1, at the time of writing). Provided with a high biological assay confidence score, these selected compounds explored up to 2822 protein drug targets. To improve the data accuracy, samples marked as prodrugs or with equivocal biological annotations were not considered. Notably, MuSSel performances were overall improved by using an object-relational database management system based on PostgreSQL. In order to challenge the real effectiveness of MuSSel in predicting relevant therapeutic drug targets, we analyzed a pool of 36 external bioactive compounds published in the Journal of Medicinal Chemistry from October to December 2018. This study demonstrates that the use of highly curated chemical and biological experimental data on one side, and a powerful multi-fingerprint search algorithm on the other, can be of the utmost importance in addressing the fate of newly conceived small molecules, by strongly reducing the attrition of early phases of drug discovery programs.

Indexing large metric spaces for similarity search queries

1999 ◽  
Vol 24 (3) ◽  
pp. 361-404 ◽  
Author(s):  
Tolga Bozkaya ◽  
Meral Ozsoyoglu
Keyword(s):  
Similarity Search ◽  
Metric Spaces ◽  
Search Queries

Index-driven similarity search in metric spaces (Survey Article)

2003 ◽  
Vol 28 (4) ◽  
pp. 517-580 ◽  
Author(s):  
Gisli R. Hjaltason ◽  
Hanan Samet
Keyword(s):  
Similarity Search ◽  
Metric Spaces ◽  
Survey Article
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