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  1. PDFll: Predictors of Disorder and Function of Proteins from the Language of Life.
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    Journal: J Comput Biol. 2025 Feb;32(2)
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  2. ModFOLD9: A Web Server for Independent Estimates of 3D Protein Model Quality.
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    Journal: J Mol Biol. 2024 Sep 01;436(17)
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  3. CREMP: Conformer-rotamer ensembles of macrocyclic peptides for machine learning.
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    Journal: Sci Data. 2024 Aug 09;11(1)
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  4. Evaluation of AlphaFold 3's Protein-Protein Complexes for Predicting Binding Free Energy Changes upon Mutation.
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    Journal: J Chem Inf Model. 2024 Aug 26;64(16)
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  5. AlphaFold2 for Protein Structure Prediction: Best Practices and Critical Analyses.
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    Journal: Methods Mol Biol. 2024;2836
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  6. EFG-CS: Predicting chemical shifts from amino acid sequences with protein structure prediction using machine learning and deep learning models.
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    Journal: Protein Sci. 2024 Aug;33(8)
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  7. Using Attention-UNet Models to Predict Protein Contact Maps.
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    Journal: J Comput Biol. 2024 Jul;31(7)
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  8. LazyAF, a pipeline for accessible medium-scale in silico prediction of protein-protein interactions.
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    Journal: Microbiology (Reading). 2024 Jul;170(7)
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  9. Cracking AlphaFold2: Leveraging the power of artificial intelligence in undergraduate biochemistry curriculums.
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    Journal: PLoS Comput Biol. 2024 Jun;20(6)
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  10. Machine learning in biological physics: From biomolecular prediction to design.
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    Journal: Proc Natl Acad Sci U S A. 2024 Jul 02;121(27)
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