9 citations · 12 across the 8 of their papers we have counts for
9 papers
Piecewise integrability of the discrete Hasimoto map for analytic prediction and design of helical peptides
Yiquan Wang
The representation of protein backbone geometry through the discrete nonlinear Schrödinger equation provides a theoretical connection between biological structure and integrable sy…
Spectral analysis of protein backbone geometry reveals abrupt helix--coil boundaries
Yiquan Wang
The boundaries of cooperative helix--coil transitions influence protein allostery and conformational dynamics, yet the persistent one-to-two-residue ambiguity in their assignment r…
Descriptive power and predictive limits of a discrete Hasimoto--DNLS model of protein backbone structure
Yiquan Wang
Determining 3D protein structure from sequence remains a fundamental biophysical challenge. The C backbone's discrete Frenet geometry maps, via a Hasimoto transform, to a compl…
Diffusion Models at the Drug Discovery Frontier: A Review on Generating Small Molecules versus Therapeutic Peptides
Yiquan Wang, Yahui Ma, Yuhan Chang +4
Diffusion models have emerged as a leading framework in generative modeling, poised to transform the traditionally slow and costly process of drug discovery. This review provides a…
AI Driven Discovery of Bio Ecological Mediation in Cascading Heatwave Risks
Yiquan Wang, Tin-Yeh Huang, Qingyun Gao +2
Compound heatwaves increasingly trigger complex cascading failures that propagate through interconnected physical and human systems, yet the fragmentation of disciplinary knowledge…
Construction and educational application of a linguistically grounded dependency treebank for Uyghur
Jiaxin Zuo, Yiquan Wang, Yuan Pan +1
Developing effective educational technologies for low-resource agglutinative languages like Uyghur is often hindered by the mismatch between existing annotation frameworks and spec…
STGCN-LSTM for Olympic Medal Prediction: Dynamic Power Modeling and Causal Policy Optimization
Yiquan Wang, Jiaying Wang, Tin-Yeh Huang +2
This paper proposes a novel hybrid model, STGCN-LSTM, to forecast Olympic medal distributions by integrating the spatio-temporal relationships among countries and the long-term dep…
A Personalized MOOC Learning Group and Course Recommendation Method Based on Graph Neural Network and Social Network Analysis
Zijin Luo, Xu Wang, Yiquan Wang +2
In order to enhance students' initiative and participation in MOOC learning, this study constructed a multi-level network model based on Social Network Analysis (SNA). The model ma…
Octopus Inspired Optimization (OIO): A Hierarchical Framework for Navigating Protein Fitness Landscapes
Xu Wang, Yiquan Wang, Tin-Yeh Huang +5
Navigating vast, rugged biological fitness landscapes to discover high-value functional patterns-such as optimal protein sequences-is a central challenge in health informatics. How…