Literature DB >> 16494871

A complete small molecule dataset from the protein data bank.

Howard J Feldman1, Kevin A Snyder, Amy Ticoll, Greg Pintilie, Christopher W V Hogue.   

Abstract

A complete set of 6300 small molecule ligands was extracted from the protein data bank, and deposited online in PubChem as data source 'SMID'. This set's major improvement over prior methods is the inclusion of cyclic polypeptides and branched polysaccharides, including an unambiguous nomenclature, in addition to normal monomeric ligands. Only the best available example of each ligand structure is retained, and an additional dataset is maintained containing co-ordinates for all examples of each structure. Attempts are made to correct ambiguous atomic elements and other common errors, and a perception algorithm was used to determine bond order and aromaticity when no other information was available.

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Year:  2006        PMID: 16494871     DOI: 10.1016/j.febslet.2006.02.003

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  9 in total

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Authors:  V Shanthi; K Ramanathan
Journal:  3 Biotech       Date:  2013-06-18       Impact factor: 2.406

8.  Discovery of potential ALK inhibitors by virtual screening approach.

Authors:  Anish Kumar; V Shanthi; K Ramanathan
Journal:  3 Biotech       Date:  2016-01-09       Impact factor: 2.406

9.  Virtual screening for oseltamivir-resistant a (H5N1) influenza neuraminidase from traditional Chinese medicine database: a combined molecular docking with molecular dynamics approach.

Authors:  Vasudevan Karthick; Karuppasamy Ramanathan
Journal:  Springerplus       Date:  2013-03-18
  9 in total

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