Publications by authors named "Changyan Yang"

The ample peptide field is the best source for discovering clinically available novel antimicrobial peptides (AMPs) to address emerging drug resistance. However, discovering novel AMPs is complex and expensive, representing a major challenge. Recent advances in artificial intelligence (AI) have significantly improved the efficiency of identifying antimicrobial peptides from large libraries, whereas using random peptides as negative data increases the difficulty of discovering antimicrobial peptides from random peptides using discriminative models.

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Peptide hydrogels are believed to be potential biomaterials with wide application in the biomedical field because of their good biocompatibility, injectability, and 3D printability. Most of the previously reported polypeptide hydrogels are composed of l-peptides, while the hydrogels formed by self-assembly of d-peptides are rarely reported. Herein, a peptide hydrogel constructed by D-J-1, which is the all-d-enantiomer of antimicrobial peptide Jelleine-1 (J-1) is reported.

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Unlabelled: High-speed rail has been operating in more than 25 countries (mainly in Asia, Europe and North America), and has become an important part of global economic development. However, the cleaning and maintenance of high-speed rail is a comprehensive task, which may easily cause environmental pollution. This study aims to analyze and improve the sustainability of the formulation and production process of a concentrated complex enzyme detergent used as the maintenance agent for high-speed trains via the life cycle assessment (LCA) method.

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Bacterial infection and local growth factor deficiency are two of the major causes of the nonunion of diabetic wounds. Antimicrobial peptides (AMPs) are believed to be alternatives to antibiotics against drug-resistant bacterial infections. 8-Bromoadenosine-3', 5'-cyclic monophosphate (8Br-cAMP) can promote cells to secrete growth factors and accelerate cell proliferation.

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Article Synopsis
  • * Recent advancements in computational methods, like artificial intelligence, are being used to speed up the discovery of effective therapeutic peptides by predicting their biological activity and safety.
  • * The proposed GM-Pep method combines a conditional variational autoencoder and a multiclassifier, achieving high accuracy in generating safe and active peptide sequences, with outstanding validation results from synthesized peptides.
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Postoperative adhesion is a common complication of abdominal surgery, which always has many adverse effects in patients. At present, there is still a lack of effective treatment measures and materials to prevent adhesion in the clinics. Herein, we report the potential use of J-1-ADP hydrogel formed by natural antimicrobial peptide jelleine-1 (J-1) self-assembling in adenosine diphosphate (ADP) sodium solution to prevent postsurgery adhesion formation.

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Due to the threat of escalating multi-drug resistant gram-negative bacteria to human health and life, novel antimicrobial agents against gram-negative pathogens are urgently needed. As antimicrobial peptides are not prone to induce bacteria resistance, they are believed to be one kind of promising class of potential antimicrobial agent candidates to combat multi-drug resistant bacteria for long-term use. Jelleine-1, first isolated from the royal jelly of honeybees, is a typical amphiphilic antimicrobial peptide and shows broad antimicrobial spectrum and negligible toxicity.

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We report here for the first time a novel difluoromethylated ketimine building block condensed by thioisatin and difluoroethylamine, offering efficient access to a broad range of enantioenriched products bearing difluoroethylamine units (27 examples, ≤98% yield, >99% ee) in the presence of quinine-derived squaramide. Further transformation of the intermediate would generate a variety of versatile functional blocks like α-difluoromethyl amines, β-amino acid, and β-diamine with retention of the enantiomeric excess at the difluoromethyl-bound carbon.

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