Year: 2019
Type: article
Abstract: Diversity of α-helical host defense peptides (αHDPs) contributes to immunity against a broad spectrum of pathogens via multiple functions. Thus, resolving common structure-function relationships among αHDPs is inherently difficult, even for artificial-intelligence-based methods that seek multifactorial trends rather than foundational principles. Here, bioinformatic and pattern recognition methods were applied to identify a unifying signature of eukaryotic αHDPs derived from amino acid sequence, biochemical, and three-dimensional properties of known αHDPs. The signature formula contains a helical domain of 12 residues with a mean hydrophobic moment of 0.50 and favoring aliphatic over aromatic hydrophobes in 18-aa windows of peptides or proteins matching its semantic definition. The holistic α-core signature subsumes existing physicochemical properties of αHDPs, and converged strongly with predictions of an independent machine-learning-based classifier recognizing sequences inducing negative Gaussian curvature in target membranes. Queries using the α-core formula identified 93% of all annotated αHDPs in proteomic databases and retrieved all major αHDP families. Synthesis and antimicrobial assays confirmed efficacies of predicted sequences having no previously known antimicrobial activity. The unifying α-core signature establishes a foundational framework for discovering and understanding αHDPs encompassing diverse structural and mechanistic variations, and affords possibilities for deterministic design of antiinfectives.
Authors: Nannette Y. Yount, David C. Weaver, Ernest Y. Lee, Michelle W. Lee, Huiyuan Wang, Liana C. Chan, Gerard C. L. Wong, Michael R. Yeaman
Language: English
Subfield: Microbiology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: hybrid
Awards: Mitigating Resistance & Virulence in MRSA, G130116679, Bacterial amyloids: interactions with DNA and pathogenicity, G427853489, UCLA-Caltech Medical Scientist Training Program, Mitigating Resistance & Virulence in MRSA, Systems in Integrative Biology, Systems Immunolobiology of Antibiotic-Persistent MRSA Infection, Programming innate immune responses using glycomimetic macromolecular complexes, Dermatology Scientist Training Program
OpenAlex ID: W2922040209
