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Lasso peptides are a diverse class of naturally occurring, highly stable molecules kinetically trapped in a distinctive [1]rotaxane conformation. How the ATP-dependent lasso cyclase constrains a relatively unstructured substrate peptide into a low entropy product has remained a mystery owing to poor enzyme stability and activity in vitro. In this study, we combined substrate tolerance data with structural predictions, bioinformatic analysis, molecular dynamics simulations and mutational scanning to construct a model for the three-dimensional orientation of the substrate peptide in the lasso cyclase active site. Predicted peptide cyclase molecular contacts were validated by rationally engineering multiple, phylogenetically diverse lasso cyclases to accept substrates rejected by the wild-type enzymes. Finally, we demonstrate the utility of lasso cyclase engineering by robustly producing previously inaccessible variants that tightly bind to integrin αvβ8, which is a primary activator of transforming growth factor β and, thus, an important anti-cancer target.
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http://dx.doi.org/10.1038/s41589-024-01727-w | DOI Listing |
Eur J Pediatr
June 2025
Department of Blood Transfusion, Zhengzhou University First Affiliated Hospital, Zhengzhou, 450052, Henan, China.
Bone marrow stromal cell antigen-1 (BST1) expression is elevated in a variety of human diseases, but its relationship with pediatric sepsis is unclear. This study aimed to investigate the expression of BST1 in pediatric sepsis patients and its value for diagnosing pediatric sepsis. Key neutrophil extracellular traps (NETs)-related genes that accurately diagnose pediatric sepsis patients were identified using various machine learning methods, including LASSO, RF, XGBoost, LightGBM, and Boruta algorithms.
View Article and Find Full Text PDFFront Allergy
January 2025
Allergy and Clinical Immunology Center, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Introduction: Asthma has an annual increasing morbidity rate and imposes a heavy social burden on public healthcare systems. The aim of this study was to use machine learning to identify asthma-specific genes for the prediction and diagnosis of asthma.
Methods: Differentially expressed genes (DEGs) related to asthma were identified by examining public sequencing data from the Gene Expression Omnibus, coupled with the support vector machine recursive feature elimination and least absolute shrinkage and selection operator regression model.
BMC Cancer
January 2025
Department of Gynecology, East China Normal University Wuhu Affiliated Hospital (The Second People's Hospital of Wuhu City), Wuhu, 241000, China.
Objective: Neuroendocrine cervical carcinoma (NECC) is a rare but highly aggressive tumor. The clinical management of NECC follows neuroendocrine neoplasms and cervical cancer in general. However, the diagnosis and prognosis of NECC remain dismal.
View Article and Find Full Text PDFChem
October 2024
Institute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zürich, Vladimir-Prelog Weg 4, 8093 Zürich, Switzerland.
Isoprenoid modifications of proteins and peptides serve fundamental biological functions and are of therapeutic interest. While C (farnesyl) and C (geranylgeranyl) moieties are prevalent among proteins, known ribosomal peptide prenylations involve shorter-chain units not exceeding farnesyl in size. To our knowledge, cyclized terpene moieties have not been reported from either biomolecule class.
View Article and Find Full Text PDFNat Chem Biol
March 2025
Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Lasso peptides are a diverse class of naturally occurring, highly stable molecules kinetically trapped in a distinctive [1]rotaxane conformation. How the ATP-dependent lasso cyclase constrains a relatively unstructured substrate peptide into a low entropy product has remained a mystery owing to poor enzyme stability and activity in vitro. In this study, we combined substrate tolerance data with structural predictions, bioinformatic analysis, molecular dynamics simulations and mutational scanning to construct a model for the three-dimensional orientation of the substrate peptide in the lasso cyclase active site.
View Article and Find Full Text PDF