ArticleJournal of molecular modeling2009
Search for inhibitors of aminoacyl-tRNA synthases by virtual click chemistry.
Article in Journal of molecular modeling, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Essentiality Assessment of Cysteinyl and Lysyl-tRNA Synthetases of Mycobacterium smegmatis.PloS one · 2016Article
- Structural states of the flexible catalytic loop of M. tuberculosis tyrosyl-tRNA synthetase in different enzyme-substrate complexes.European biophysics journal : EBJ · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increase of multidrug-resistant strains of bacteria to known classes of antibiotics present a severe challenge for modern medicine. The most promising strategy to combat pathogenic bacteria is to discover new drug targets. In this regard, aminoacyl-tRNA synthetases are particularly well suited to develop novel drugs that show no cross-resistance to other classical antibiotics. To date various chemical structures that inhibit AA-RS have been identified. In this report we present an interesting approach towards generating of Leu-RS inhibitors by virtual click chemistry. That is we identified key fragments for ligand binding within catalytic pocket of Leu-RS, generated the collection of similar fragments with the use of Ligand.Info, identified the fragments that are most strongly bound in different areas within the catalytic pocket, and finally with the use of virtual click chemistry we generated a set of molecules which are most likely to act as highly potent bacterial Leu-RS inhibitors.
Indexed as
Identifiers
19048310What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.