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  1. A unified approach to protein domain parsing with inter-residue distance matrix.
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    Journal: Bioinformatics. 2023 Feb 03;39(2)
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  2. 3D-equivariant graph neural networks for protein model quality assessment.
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    Journal: Bioinformatics. 2023 Jan 01;39(1)
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  3. Entropy and Variability: A Second Opinion by Deep Learning.
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    Journal: Biomolecules. 2022 Nov 23;12(12)
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  4. ManyFold: an efficient and flexible library for training and validating protein folding models.
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    Journal: Bioinformatics. 2023 Jan 01;39(1)
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  5. Improved model quality assessment using sequence and structural information by enhanced deep neural networks.
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    Journal: Brief Bioinform. 2023 Jan 19;24(1)
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  6. LambdaPP: Fast and accessible protein-specific phenotype predictions.
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    Journal: Protein Sci. 2023 Jan;32(1)
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  7. Single-sequence protein structure prediction using supervised transformer protein language models.
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    Journal: Nat Comput Sci. 2022 Dec;2(12)
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  8. DeepHomo2.0: improved protein-protein contact prediction of homodimers by transformer-enhanced deep learning.
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    Journal: Brief Bioinform. 2023 Jan 19;24(1)
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  9. AlphaFill: enriching AlphaFold models with ligands and cofactors.
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    Journal: Nat Methods. 2023 Feb;20(2)
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  10. GeoPacker: A novel deep learning framework for protein side-chain modeling.
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    Journal: Protein Sci. 2022 Dec;31(12)
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