Abstract 2270 Computationally Modeling the YscF Protein of the Type Three Secretion System of Yersinia pestis Using AlphaFold

The Type Three Secretion System (T3SS) is a protein complex used by many bacterial genera such as Salmonella, Shigella, and Yersinia by facilitating the transfer of effector proteins into host cells.This research focuses on the T3SS of Yersinia pestis, the causative agent of the bubonic plague.The T3SS of Y. pestis includes a protein called YscF, in its polymerized form this protein makes the needle structure of the T3SS and allows effector proteins to pass through it prior to being injected into the host cell.This protein has never been modeled in its polymerized form, but homologous structures do exist in Salmonella and Shigella that have been structurally elucidated by Cryo-EM.The process of elucidating proteins in a laboratory environment continues to be extremely time consuming and requires knowledge of specialized equipment such as cryo electron microscopes.This research project used tools at the forefront of computational biology such as a supercomputer provided by the ACCESS grant and AlphaFold, artificial intelligence (AI) that specializes in elucidating protein structures in silico.This research utilized the processing power of the supercomputer as well as the vast knowledge of AlphaFold to generate a structure of YscF polymers.The structure was generated using high throughput methods using an increasing number of subunits for the YscF polymer.This allowed for the assembly of the polymer to be seen, the number of subunits to be recorded, and the size of the polymer to be measured.In order to verify the quality of the models, predicted aligned error (PAE) plots and predicted local distance difference tests (pLDDT) were performed.This allowed for physiologically relevant quantitative analysis of the YscF models generated.Additionally, there are mutants of YscF, leading to constitutive secreting (CS) and non-secreting (NS) phenotypes that were modeled using the same high throughput methods.Looking at the differences between the wild type YscF and the mutants provides valuable insight into how secretion is regulated which could assist in developing novel treatments that target the T3SS.

Authors

Institutions

Publication Details

Journal
Journal of Biological Chemistry
Published
2025-05-01
DOI
https://doi.org/10.1016/j.jbc.2025.108986
Primary Topic
Yersinia bacterium, plague, ectoparasites research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 2270 Computationally Modeling the YscF Protein of the Type Three Secretion System of Yersinia pestis Using AlphaFold

Arthur Sikora, Julie Torruellas Garcia, Drew Utinans
Journal of Biological Chemistry
Yersinia bacterium, plague, ectoparasites research
article

Abstract 2270 Computationally Modeling the YscF Protein of the Type Three Secretion System of Yersinia pestis Using AlphaFold

Arthur Sikora, Julie Torruellas Garcia, Drew Utinans
article en

Abstract

The Type Three Secretion System (T3SS) is a protein complex used by many bacterial genera such as Salmonella, Shigella, and Yersinia by facilitating the transfer of effector proteins into host cells.This research focuses on the T3SS of Yersinia pestis, the causative agent of the bubonic plague.The T3SS of Y. pestis includes a protein called YscF, in its polymerized form this protein makes the needle structure of the T3SS and allows effector proteins to pass through it prior to being injected into the host cell.This protein has never been modeled in its polymerized form, but homologous structures do exist in Salmonella and Shigella that have been structurally elucidated by Cryo-EM.The process of elucidating proteins in a laboratory environment continues to be extremely time consuming and requires knowledge of specialized equipment such as cryo electron microscopes.This research project used tools at the forefront of computational biology such as a supercomputer provided by the ACCESS grant and AlphaFold, artificial intelligence (AI) that specializes in elucidating protein structures in silico.This research utilized the processing power of the supercomputer as well as the vast knowledge of AlphaFold to generate a structure of YscF polymers.The structure was generated using high throughput methods using an increasing number of subunits for the YscF polymer.This allowed for the assembly of the polymer to be seen, the number of subunits to be recorded, and the size of the polymer to be measured.In order to verify the quality of the models, predicted aligned error (PAE) plots and predicted local distance difference tests (pLDDT) were performed.This allowed for physiologically relevant quantitative analysis of the YscF models generated.Additionally, there are mutants of YscF, leading to constitutive secreting (CS) and non-secreting (NS) phenotypes that were modeled using the same high throughput methods.Looking at the differences between the wild type YscF and the mutants provides valuable insight into how secretion is regulated which could assist in developing novel treatments that target the T3SS.

Journal of Biological ChemistryVol. 301(5)
Nova Southeastern University (US), Northeastern Illinois University (US), University of Illinois Chicago (US)
National Science Foundation
Zero hunger
Openalex Percentile: Top 84%
Yersinia bacterium, plague, ectoparasites research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.