9 citations · 16 across the 10 of their papers we have counts for
4 papers · 1 filter
Poisson-Boltzmann based machine learning (PBML) model for electrostatic analysis
Jiahui Chen, Yongjia Xu, Xin Yang +3
Electrostatics is of paramount importance to chemistry, physics, biology, and medicine. The Poisson-Boltzmann (PB) theory is a primary model for electrostatic analysis. However, it…
Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation
JunJie Wee, Jiahui Chen, Kelin Xia +1
Protein mutations can significantly influence protein solubility, which results in altered protein functions and leads to various diseases. Despite of tremendous effort, machine le…
Mathematics-assisted directed evolution and protein engineering
Yuchi Qiu, Guo-Wei Wei
Directed evolution is a molecular biology technique that is transforming protein engineering by creating proteins with desirable properties and functions. However, it is experiment…
Persistent topological Laplacian analysis of SARS-CoV-2 variants
Xiaoqi Wei, Jiahui Chen, Guo-Wei Wei
Topological data analysis (TDA) is an emerging field in mathematics and data science. Its central technique, persistent homology, has had tremendous success in many science and eng…