2015
DOI: 10.1002/prot.24922
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Prediction of the substrate for nonribosomal peptide synthetase (NRPS) adenylation domains by virtual screening

Abstract: Nonribosomal peptide synthetases (NRPSs) synthesize a diverse array of bioactive small peptides, many of which are used in medicine. There is considerable interest in predicting NRPS substrate specificity in order to facilitate investigation of the many "cryptic" NRPS genes that have not been linked to any known product. However, the current sequence similarity-based methods are unable to produce reliable predictions when there is a lack of prior specificity data, which is a particular problem for fungal NRPSs… Show more

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Cited by 23 publications
(15 citation statements)
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References 84 publications
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“…The sequence alignment of a number of adenylation domains of known substrate specificity, homology modeling and docking simulations led to the identification of the conserved residues lining the active site in domains activating specific amino acid . Structure‐based in silico virtual screening methods have also been developed .…”
Section: Discussionmentioning
confidence: 99%
“…The sequence alignment of a number of adenylation domains of known substrate specificity, homology modeling and docking simulations led to the identification of the conserved residues lining the active site in domains activating specific amino acid . Structure‐based in silico virtual screening methods have also been developed .…”
Section: Discussionmentioning
confidence: 99%
“…The α-carboxylate of phenylalanine is stabilized by an electrostatic interaction with the invariant 517 K from the C-terminal domain. A conserved aromatic residue (F, W, or H), proposed to play a key role in the positioning of α-amino and α-carboxylate groups (Lee et al, 2015 ) corresponds to 239 W in PheA. These critical residues are conserved ( 238 D, 309 G, 315 I, 242 W, and 495 K) in TmpB and have a very similar orientation in the TmpB model (Figure S10B ).…”
Section: Resultsmentioning
confidence: 92%
“…Others have also described homology models that may be an excellent alternative when crystal structures are unavailable for human GPCRs 93 , 94 , and have led to the first identification of inhibitors of the Mycobacterium tuberculosis Topoisomerase I after virtual screening 95 , 96 prior to the crystal structure becoming available 97 . Certainly there are still considerable challenges using homology models such as prediction of the correct binding pose 98 but there are plenty of success stories 98 100 . While databases of homology models exist like MODBASE 101 and SWISS-MODEL 50 , 51 , 71 73 neither of these have any ZIKV protein homology models at the time of writing.…”
Section: Discussionmentioning
confidence: 99%