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  1. Applying and improving AlphaFold at CASP14.
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    Journal: Proteins. 2021 Dec;89(12)
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  2. Target highlights in CASP14: Analysis of models by structure providers.
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    Journal: Proteins. 2021 Dec;89(12)
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  3. New Labeling Methods for Deep Learning Real-Valued Inter-Residue Distance Prediction.
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    Journal: IEEE/ACM Trans Comput Biol Bioinform. 2022;19(6)
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  4. Assessment of prediction methods for protein structures determined by NMR in CASP14: Impact of AlphaFold2.
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    Journal: Proteins. 2021 Dec;89(12)
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  5. Critical assessment of methods of protein structure prediction (CASP)-Round XIV.
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    Journal: Proteins. 2021 Dec;89(12)
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  6. FALCON2: a web server for high-quality prediction of protein tertiary structures.
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    Journal: BMC Bioinformatics. 2021 Sep 15;22(1)
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  7. Improved 3-D Protein Structure Predictions using Deep ResNet Model.
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    Journal: Protein J. 2021 Oct;40(5)
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  8. When homologous sequences meet structural decoys: Accurate contact prediction by tFold in CASP14-(tFold for CASP14 contact prediction).
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    Journal: Proteins. 2021 Dec;89(12)
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  9. PYTHIA: Deep Learning Approach for Local Protein Conformation Prediction.
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    Journal: Int J Mol Sci. 2021 Aug 17;22(16)
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  10. Cryo-EM targets in CASP14.
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    Journal: Proteins. 2021 Dec;89(12)
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