Novelty Search Promotes Antigenic Diversity in Microbial Pathogens
Driven by host–pathogen coevolution, cell surface antigens are often the fastest evolving parts of a microbial pathogen. The persistent evolutionary impetus for novel antigen variants suggests the utility of novelty-seeking algorithms in predicting antigen diversification in microbial pathogens. In...
Main Authors: | Brandon Ely, Winston Koh, Eamen Ho, Tasmina M. Hassan, Anh V. Pham, Weigang Qiu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Pathogens |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-0817/12/3/388 |
Similar Items
-
Review of the Evaluation of Scientific and Technical Novelty Search Service in China
by: XIA Dong, XU Yingqi, WANG Chao, LI Bei
Published: (2021-11-01) -
Efficient novelty search through deep reinforcement learning
by: Shi, Longxiang, et al.
Published: (2021) -
Challenges and Countermeasures of Targeted Scientific and Technical Novelty Search
by: XIA Dong, XU Yingqi, WANG Chao, REN Bo
Published: (2022-07-01) -
Evolutionary Statistical System Based on Novelty Search: A Parallel Metaheuristic for Uncertainty Reduction Applied to Wildfire Spread Prediction
by: Jan Strappa, et al.
Published: (2022-12-01) -
Identification of tumor rejection antigens and the immunologic landscape of medulloblastoma
by: Changlin Yang, et al.
Published: (2024-08-01)