Author

Yun-Xin Xu

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Open access Sep 2026

From single-sequence structure prediction to protein fitness landscape through a composable, epistasis-aware mutation atlas

Mapping the multi-mutant fitness landscape is vital to protein engineering, but is challenging due to the vast combinatorial sequence space awaiting exploration. A central difficulty lies in the accurate and efficient modeling of non-additive epistatic effects among individual mutations, which partially arise from the...

Wei-Zhe Wang, Zi-Mu Yu, En-Di Yang et al. · bioRxiv · 0 citations

Open access Sep 2026

MutCleaner: Cleaning and Standardizing Biological Mutation Datasets for Variant Effect Prediction

Summary Protein mutation datasets are widely used in variant effect prediction and protein engineering, but datasets from different sources often lack consistent conventions for mutation representation, sequence representation, data organization, and experimental labels, making these resources difficult to integrate di...

Zi-Yu Shi, Yu-Xiang Tang, Meng-Xin Yang et al. · bioRxiv · 0 citations