Sequence Matching between Hemagglutinin and Neuraminidase through Sequence Analysis Using Machine Learning.

ABSTRACT: To date, many experiments have revealed that the functional balance between hemagglutinin (HA) and neuraminidase (NA) plays a crucial role in viral mobility, production, and transmission. However, whether and how HA and NA maintain balance at the sequence level needs further investigation. Here, we applied principal component analysis and hierarchical clustering analysis on thousands of HA and NA sequences of A/H1N1 and A/H3N2. We discovered significant coevolution between HA and NA at the sequence level, which is closely related to the type of host species and virus epidemic years. Furthermore, we propose a sequence-to-sequence transformer model (S2STM), which mainly consists of an encoder and a decoder that adopts a multi-head attention mechanism for establishing the mapping relationship

SUBMITTER: Wang H 

PROVIDER: S-EPMC8950662 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature