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  1. An ensemble approach to protein fold classification by integration of template-based assignment and support vector machine classifier.
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    Journal: Bioinformatics. 2017 Mar 15;33(6)
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  2. QAcon: single model quality assessment using protein structural and contact information with machine learning techniques.
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    Journal: Bioinformatics. 2017 Feb 15;33(4)
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  3. Reduced Fragment Diversity for Alpha and Alpha-Beta Protein Structure Prediction using Rosetta.
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    Journal: Protein Pept Lett. 2017;24(3)
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  4. ConEVA: a toolbox for comprehensive assessment of protein contacts.
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    Journal: BMC Bioinformatics. 2016 Dec 07;17(1)
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  5. DeepQA: improving the estimation of single protein model quality with deep belief networks.
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    Journal: BMC Bioinformatics. 2016 Dec 05;17(1)
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  6. Blind protein structure prediction using accelerated free-energy simulations.
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    Journal: Sci Adv. 2016 Nov;2(11)
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  7. Why Is There a Glass Ceiling for Threading Based Protein Structure Prediction Methods?
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    Journal: J Phys Chem B. 2017 Apr 20;121(15)
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  8. A large-scale comparative assessment of methods for residue-residue contact prediction.
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    Journal: Brief Bioinform. 2018 Mar 01;19(2)
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  9. LRFragLib: an effective algorithm to identify fragments for de novo protein structure prediction.
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    Journal: Bioinformatics. 2017 Mar 01;33(5)
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  10. Fast and Accurate Accessible Surface Area Prediction Without a Sequence Profile.
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    Journal: Methods Mol Biol. 2017;1484
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