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{{more footnotes|date=May 2014}}
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The '''nonribosomal code''' refers to key amino acid residues and their positions within the primary sequence of an adenylation ___domain of a [[nonribosomal peptide synthetase]] used to predict substrate specificity and thus (partially) the final product. Analogous to the nonribosomal code is prediction of peptide composition by DNA/RNA codon reading, which is well supported by the [[central dogma of molecular biology]] and accomplished using the genetic code simply by following the [[DNA codon table]] or [[RNA codon table]]. However, prediction of natural product/secondary metabolites by the nonribosomal code is not as concrete as DNA/RNA codon-to-amino acid and much research is still needed to have a broad-use code. The increasing number of sequenced genomes and high-throughput prediction software has allowed for better elucidation of predicted substrate specificity and thus natural products/secondary metabolites. Enzyme characterization by, for example, ATP-pyrophosphate exchange assays for substrate specificity, ''[[in silico]]'' substrate-binding pocket modelling and structure-function mutagenesis (''in vitro'' tests or ''in silico'' modelling) helps support predictive algorithms. Much research has been done on bacteria and fungi, with prokaryotic bacteria having easier-to-predict products.▼
The nonribosomal peptide synthetase (NRPS), a multi-modular enzyme complex, minimally contains repeating, tri-domains (adenylation (A), peptidyl carrier protein (PCP) and lastly
▲The '''nonribosomal code''' refers to key amino acid residues and their positions within the primary sequence of an adenylation ___domain of a [[nonribosomal peptide synthetase]] used to predict substrate specificity and thus (partially) the final product. Analogous to the nonribosomal code is prediction of peptide composition by DNA/RNA codon reading, which is well supported by the [[central dogma of molecular biology]] and accomplished using the genetic code simply by following the [[DNA codon table]] or [[RNA codon table]]. However, prediction of natural product/secondary metabolites by the nonribosomal code is not as concrete as DNA/RNA codon-to-amino acid and much research is still needed to have a broad-use code. The increasing number of sequenced genomes and high-throughput prediction software has allowed for better elucidation of predicted substrate specificity and thus natural products/secondary metabolites. Enzyme characterization by, for example, ATP-pyrophosphate exchange assays for substrate specificity, ''in silico'' substrate-binding pocket modelling and structure-function mutagenesis (''in vitro'' tests or ''in silico'' modelling) helps support predictive algorithms. Much research has been done on bacteria and fungi, with prokaryotic bacteria having easier-to-predict products.
▲The nonribosomal peptide synthetase (NRPS), a multi-modular enzyme complex, minimally contains repeating, tri-domains (adenylation (A), peptidyl carrier protein (PCP) and lastly codensation(C)). The adenylation ___domain (A) is the focus for substrate specificity since it is the initiating and substrate recognition ___domain. In one example, adenylation substrate-binding pocket (defined by 10 residue within) alignments led to clusters giving rise to defined specificity (i.e. the residues of the enzyme pocket can predict nonribosomal peptide sequence).<ref>The nonribosomal code 1999</ref> ''In silico'' mutations of substrate-determining residues also led to varying or relaxed specificity.<ref>The specificity-conferring code of adenylation domains in nonribosomal peptide synthetases 1999</ref> Additionally, the NRPS collinearity principle/rule dictates that given the order of adenylation domains (and substrate-specificity code) throughout the NRPS one can predict the amino acid sequence of the produced small peptide. NRPS, NRPS-like or NRPS-PKS complexes also exist and have ___domain variations, additions and/or exclusions.
==Supporting examples==
The A-domains have 8 amino acid-long non-ribosomal signatures.<ref>{{Cite book|last=Compeau, Phillip|title=Bioinformatics algorithms : an active learning approach|others=Pevzner, Pavel.|year=2018|isbn=978-0-9903746-3-3|edition=3rd|___location=San Diego, CA|oclc=1060570224}}</ref>
'''LTKVGHIG''' → Asp (Aspartic acid)
'''VGEIGSID''' → Orn (Orinithine)
'''AWMFAAVL''' → Val (Valine)
==See also==
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==References==
{{reflist}}
[[Category:Molecular biology]]
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