Geschmack ist vorhersagbar: Mit FlavorMiner. FlavorMiner heißt das Tool, das IPB-Chemiker und Partner aus Kolumbien jüngst entwickelt haben. Das Programm kann, basierend auf maschinellem Lernen (KI), anhand der…
Seit Februar 2021 bietet Wolfgang Brandt, ehemaliger Leiter der Arbeitsgruppe Computerchemie am IPB, sein Citizen Science-Projekt zur Pilzbestimmung an. Dafür hat er in regelmäßigen Abständen öffentliche Vorträge zur Vielfalt…
Ricardo, M. G.; Moya, C. G.; Pérez, C. S.; Porzel, A.; Wessjohann, L. A.; Rivera, D. G.;Improved Stability and Tunable Functionalization of Parallel β‐Sheets via Multicomponent N‐Alkylation of the Turn MoietyAngew. Chem.132265-269(2020)DOI: 10.1002/ange.201912095
In contrast to the myriad of methods available to produce α‐helices and antiparallel β‐sheets in synthetic peptides, just a few are known for the construction of stable, non‐cyclic parallel β‐sheets. Herein, we report an efficient on‐resin approach for the assembly of parallel β‐sheet peptides in which the N‐alkylated turn moiety enhances the stability and gives access to a variety of functionalizations without modifying the parallel strands. The key synthetic step of this strategy is the multicomponent construction of an N‐alkylated turn using the Ugi reaction on varied isocyano‐resins. This four‐component process assembles the orthogonally protected turn fragment and incorporates handles serving for labeling/conjugation purposes or for reducing peptide aggregation. NMR and circular dichroism analyses confirm the better‐structured and more stable parallel β‐sheets in the N‐alkylated peptides compared to the non‐functionalized variants.
Publikation
Hock, K. J.; Knorrscheidt, A.; Hommelsheim, R.; Ho, J.; Weissenborn, M. J.; Koenigs, R. M.;Eisenporphyrin-katalysierte C-H-Funktionalisierung von Indol mit Diazoacetonitril für die Synthese von TryptaminenAngew. Chem.1313669-3673(2019)DOI: 10.1002/ange.201813631
Die Funktionalisierung von C‐H‐Bindungen mit Nichtedelmetallkatalysatoren ist ein wichtiges Forschungsgebiet für die Entwicklung effizienter und nachhaltiger Synthesemethoden. In diesem Artikel beschreiben wir die Entwicklung Eisenporphyrin‐katalysierter Reaktionen von Diazoacetonitril mit N‐Heterocyclen um so einen Zugang zu wertvollen Vorläufern zu Tryptaminen zu erhalten. Darüberhinaus berichten wir über experimentelle mechanistische Studien sowie über konzeptionelle Studien zu einer enzymatischen Synthese mit dem Enzym YfeX. Mit dem leicht zugänglichen FeTPPCl‐Katalysator konnten wir hoch effiziente C‐H‐Funktionalisierungsreaktionen von Indol und Indazol‐Heterocyclen zeigen. Diese Reaktionen können unter milden Reaktionsbedingungen, mit exzellenten Ausbeuten und großer Toleranz funktioneller Gruppen inklusive Anwendungen im Grammmaßstab durchgeführt werden und eröffnen so einen einzigartigen, effizienten Zugang zu Tryptaminen.
Publikation
Ruttkies, C.; Neumann, S.; Posch, S.;Improving MetFrag with statistical learning of fragment annotationsBMC Bioinformatics20376(2019)DOI: 10.1186/s12859-019-2954-7
BackgroundMolecule identification is a crucial step in metabolomics and environmental sciences. Besides in silico fragmentation, as performed by MetFrag, also machine learning and statistical methods evolved, showing an improvement in molecule annotation based on MS/MS data. In this work we present a new statistical scoring method where annotations of m/z fragment peaks to fragment-structures are learned in a training step. Based on a Bayesian model, two additional scoring terms are integrated into the new MetFrag2.4.5 and evaluated on the test data set of the CASMI 2016 contest.ResultsThe results on the 87 MS/MS spectra from positive and negative mode show a substantial improvement of the results compared to submissions made by the former MetFrag approach. Top1 rankings increased from 5 to 21 and Top10 rankings from 39 to 55 both showing higher values than for CSI:IOKR, the winner of the CASMI 2016 contest. For the negative mode spectra, MetFrag’s statistical scoring outperforms all other participants which submitted results for this type of spectra.ConclusionsThis study shows how statistical learning can improve molecular structure identification based on MS/MS data compared on the same method using combinatorial in silico fragmentation only. MetFrag2.4.5 shows especially in negative mode a better performance compared to the other participating approaches.
Publikation
Ricardo, M. G.; Llanes, D.; Wessjohann, L. A.; Rivera, D. G.;Introducing the Petasis Reaction for Late-Stage Multicomponent Diversification, Labeling, and Stapling of PeptidesAngew. Chem.1312726-2730(2019)DOI: 10.1002/ange.201812620
For the first time, the Petasis (borono‐Mannich) reaction is employed for the multicomponent labeling and stapling of peptides. The report includes the solid‐phase derivatization of peptides at the N‐terminus, Lys, and Nϵ‐MeLys side‐chains by an on‐resin Petasis reaction with variation of the carbonyl and boronic acid components. Peptides were simultaneously functionalized with aryl/vinyl substituents bearing fluorescent/affinity tags and oxo components such as dihydroxyacetone, glyceraldehyde, glyoxylic acid, and aldoses, thus encompassing a powerful complexity‐generating approach without changing the charge of the peptides. The multicomponent stapling was conducted in solution by linking Nϵ‐MeLys or Orn side‐chains, positioned at i, i+7 and i, i+4, with aryl tethers, while hydroxy carbonyl moieties were introduced as exocyclic fragments. The good efficiency and diversity oriented character of these methods show prospects for peptide drug discovery and chemical biology.