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  1. DeepECA: an end-to-end learning framework for protein contact prediction from a multiple sequence alignment.
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    Journal: BMC Bioinformatics. 2020 Jan 09;21(1)
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  2. Improved protein structure prediction using predicted interresidue orientations.
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    Journal: Proc Natl Acad Sci U S A. 2020 Jan 21;117(3)
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  3. Research on predicting 2D-HP protein folding using reinforcement learning with full state space.
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    Journal: BMC Bioinformatics. 2019 Dec 24;20(Suppl 25)
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  4. SAXSDom: Modeling multidomain protein structures using small-angle X-ray scattering data.
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    Journal: Proteins. 2020 Jun;88(6)
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  5. CGLFold: a contact-assisted de novo protein structure prediction using global exploration and loop perturbation sampling algorithm.
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    Journal: Bioinformatics. 2020 Apr 15;36(8)
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  6. Revisiting the "satisfaction of spatial restraints" approach of MODELLER for protein homology modeling.
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    Journal: PLoS Comput Biol. 2019 Dec;15(12)
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  7. SPOT-Fold: Fragment-Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map.
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    Journal: J Comput Chem. 2020 Mar 30;41(8)
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  8. Performance and enhancement of the LZerD protein assembly pipeline in CAPRI 38-46.
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    Journal: Proteins. 2020 Aug;88(8)
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  9. High-accuracy protein structures by combining machine-learning with physics-based refinement.
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    Journal: Proteins. 2020 May;88(5)
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  10. Homology Modeling of P2X Receptors.
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    Journal: Methods Mol Biol. 2020;2041
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