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  1. Deep-learning contact-map guided protein structure prediction in CASP13.
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    Journal: Proteins. 2019 Dec;87(12)
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  2. A further leap of improvement in tertiary structure prediction in CASP13 prompts new routes for future assessments.
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    Journal: Proteins. 2019 Dec;87(12)
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  3. Protein structure prediction using sparse NOE and RDC restraints with Rosetta in CASP13.
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    Journal: Proteins. 2019 Dec;87(12)
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  4. Artificial intelligence-based multi-objective optimization protocol for protein structure refinement.
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    Journal: Bioinformatics. 2020 Jan 15;36(2)
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  5. ProteinNet: a standardized data set for machine learning of protein structure.
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    Journal: BMC Bioinformatics. 2019 Jun 11;20(1)
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  6. Protein Structure Prediction Using Population-Based Algorithm Guided by Information Entropy.
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    Journal: IEEE/ACM Trans Comput Biol Bioinform. 2021;18(2)
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  7. ANDIS: an atomic angle- and distance-dependent statistical potential for protein structure quality assessment.
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    Journal: BMC Bioinformatics. 2019 Jun 03;20(1)
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  8. Two-Stage Distance Feature-based Optimization Algorithm for De novo Protein Structure Prediction.
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    Journal: IEEE/ACM Trans Comput Biol Bioinform. 2020;17(6)
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  9. Using PconsC4 and PconsFold2 to Predict Protein Structure.
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    Journal: Curr Protoc Bioinformatics. 2019 Jun;66(1)
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  10. Integrating Bonded and Nonbonded Potentials in the Knowledge-Based Scoring Function for Protein Structure Prediction.
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    Journal: J Chem Inf Model. 2019 Jun 24;59(6)
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