Timothy W. Precord, Sangeetha Ramesh, Shravan R. Dommaraju, Lonnie A. Harris, Bryce L. Kille and Douglas A. Mitchell*,
{"title":"不同序列自由基s -腺苷蛋氨酸酶功能统一的催化位点接近分析","authors":"Timothy W. Precord, Sangeetha Ramesh, Shravan R. Dommaraju, Lonnie A. Harris, Bryce L. Kille and Douglas A. Mitchell*, ","doi":"10.1021/acsbiomedchemau.2c00085","DOIUrl":null,"url":null,"abstract":"<p >The radical <i>S</i>-adenosylmethionine (rSAM) superfamily has become a wellspring for discovering new enzyme chemistry, especially regarding ribosomally synthesized and post-translationally modified peptides (RiPPs). Here, we report a compendium of nearly 15,000 rSAM proteins with high-confidence involvement in RiPP biosynthesis. While recent bioinformatics advances have unveiled the broad sequence space covered by rSAM proteins, the significant challenge of functional annotation remains unsolved. Through a combination of sequence analysis and protein structural predictions, we identified a set of catalytic site proximity residues with functional predictive power, especially among the diverse rSAM proteins that form sulfur-to-α carbon thioether (sactionine) linkages. As a case study, we report that an rSAM protein from <i>Streptomyces sparsogenes</i> (StsB) shares higher full-length similarity with MftC (mycofactocin biosynthesis) than any other characterized enzyme. However, a comparative analysis of StsB to known rSAM proteins using “catalytic site proximity” predicted that StsB would be distinct from MftC and instead form sactionine bonds. The prediction was confirmed by mass spectrometry, targeted mutagenesis, and chemical degradation. We further used “catalytic site proximity” analysis to identify six new sactipeptide groups undetectable by traditional genome-mining strategies. Additional catalytic site proximity profiling of cyclophane-forming rSAM proteins suggests that this approach will be more broadly applicable and enhance, if not outright correct, protein functional predictions based on traditional genomic enzymology principles.</p>","PeriodicalId":29802,"journal":{"name":"ACS Bio & Med Chem Au","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsbiomedchemau.2c00085","citationCount":"1","resultStr":"{\"title\":\"Catalytic Site Proximity Profiling for Functional Unification of Sequence-Diverse Radical S-Adenosylmethionine Enzymes\",\"authors\":\"Timothy W. Precord, Sangeetha Ramesh, Shravan R. Dommaraju, Lonnie A. Harris, Bryce L. Kille and Douglas A. Mitchell*, \",\"doi\":\"10.1021/acsbiomedchemau.2c00085\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >The radical <i>S</i>-adenosylmethionine (rSAM) superfamily has become a wellspring for discovering new enzyme chemistry, especially regarding ribosomally synthesized and post-translationally modified peptides (RiPPs). Here, we report a compendium of nearly 15,000 rSAM proteins with high-confidence involvement in RiPP biosynthesis. While recent bioinformatics advances have unveiled the broad sequence space covered by rSAM proteins, the significant challenge of functional annotation remains unsolved. Through a combination of sequence analysis and protein structural predictions, we identified a set of catalytic site proximity residues with functional predictive power, especially among the diverse rSAM proteins that form sulfur-to-α carbon thioether (sactionine) linkages. As a case study, we report that an rSAM protein from <i>Streptomyces sparsogenes</i> (StsB) shares higher full-length similarity with MftC (mycofactocin biosynthesis) than any other characterized enzyme. However, a comparative analysis of StsB to known rSAM proteins using “catalytic site proximity” predicted that StsB would be distinct from MftC and instead form sactionine bonds. The prediction was confirmed by mass spectrometry, targeted mutagenesis, and chemical degradation. We further used “catalytic site proximity” analysis to identify six new sactipeptide groups undetectable by traditional genome-mining strategies. Additional catalytic site proximity profiling of cyclophane-forming rSAM proteins suggests that this approach will be more broadly applicable and enhance, if not outright correct, protein functional predictions based on traditional genomic enzymology principles.</p>\",\"PeriodicalId\":29802,\"journal\":{\"name\":\"ACS Bio & Med Chem Au\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://pubs.acs.org/doi/epdf/10.1021/acsbiomedchemau.2c00085\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Bio & Med Chem Au\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acsbiomedchemau.2c00085\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Bio & Med Chem Au","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsbiomedchemau.2c00085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Catalytic Site Proximity Profiling for Functional Unification of Sequence-Diverse Radical S-Adenosylmethionine Enzymes
The radical S-adenosylmethionine (rSAM) superfamily has become a wellspring for discovering new enzyme chemistry, especially regarding ribosomally synthesized and post-translationally modified peptides (RiPPs). Here, we report a compendium of nearly 15,000 rSAM proteins with high-confidence involvement in RiPP biosynthesis. While recent bioinformatics advances have unveiled the broad sequence space covered by rSAM proteins, the significant challenge of functional annotation remains unsolved. Through a combination of sequence analysis and protein structural predictions, we identified a set of catalytic site proximity residues with functional predictive power, especially among the diverse rSAM proteins that form sulfur-to-α carbon thioether (sactionine) linkages. As a case study, we report that an rSAM protein from Streptomyces sparsogenes (StsB) shares higher full-length similarity with MftC (mycofactocin biosynthesis) than any other characterized enzyme. However, a comparative analysis of StsB to known rSAM proteins using “catalytic site proximity” predicted that StsB would be distinct from MftC and instead form sactionine bonds. The prediction was confirmed by mass spectrometry, targeted mutagenesis, and chemical degradation. We further used “catalytic site proximity” analysis to identify six new sactipeptide groups undetectable by traditional genome-mining strategies. Additional catalytic site proximity profiling of cyclophane-forming rSAM proteins suggests that this approach will be more broadly applicable and enhance, if not outright correct, protein functional predictions based on traditional genomic enzymology principles.
期刊介绍:
ACS Bio & Med Chem Au is a broad scope open access journal which publishes short letters comprehensive articles reviews and perspectives in all aspects of biological and medicinal chemistry. Studies providing fundamental insights or describing novel syntheses as well as clinical or other applications-based work are welcomed.This broad scope includes experimental and theoretical studies on the chemical physical mechanistic and/or structural basis of biological or cell function in all domains of life. It encompasses the fields of chemical biology synthetic biology disease biology cell biology agriculture and food natural products research nucleic acid biology neuroscience structural biology and biophysics.The journal publishes studies that pertain to a broad range of medicinal chemistry including compound design and optimization biological evaluation molecular mechanistic understanding of drug delivery and drug delivery systems imaging agents and pharmacology and translational science of both small and large bioactive molecules. Novel computational cheminformatics and structural studies for the identification (or structure-activity relationship analysis) of bioactive molecules ligands and their targets are also welcome. The journal will consider computational studies applying established computational methods but only in combination with novel and original experimental data (e.g. in cases where new compounds have been designed and tested).Also included in the scope of the journal are articles relating to infectious diseases research on pathogens host-pathogen interactions therapeutics diagnostics vaccines drug-delivery systems and other biomedical technology development pertaining to infectious diseases.