Publications
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2005. Dependency between consecutive local conformations helps assemble protein structures from secondary structures using Go potential and greedy algorithm. Proteins: Struct., Funct., Bioinf.. 61:732–740.
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2005. Improved greedy algorithm for protein structure reconstruction. J. Comput. Chem.. 26:506–513.
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2007. A coarse-grained protein force field for folding and structure prediction. Proteins: Struct., Funct., Bioinf.. 69:394–408.
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2009. A fast method for large-scale De Novo peptide and miniprotein structure prediction.. J. Comput. Chem..
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2009. PEP-FOLD: an online resource for de novo peptide structure prediction. Nucleic Acids Res.. 37:W498-W503.
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2009. PEP-FOLD: an online resource for de novo peptide structure prediction.. Nucleic Acids Res.. 37:W498–W503.
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2010. A Fast Method for Large-Scale De Novo Peptide and Miniprotein Structure Prediction. J. Comput. Chem.. 31:726–738.
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2012. Delivering the native structures of peptides from computer simulations and predicted NMR proton chemical shifts. J. Pept. Sci.. 18:S38.
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2012. Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches. Journal of the Royal Society Interface. 9:20–33.
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2012. PEP-FOLD: an updated de novo structure prediction server for both linear and disulfide bonded cyclic peptides. Nucleic Acids Res.. 40:W288-W293.
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2014. Improved PEP-FOLD Approach for Peptide and Miniprotein Structure Prediction. J. Chem. Theory Comput.. 10:4745–4758.
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2014. The OPEP protein model: from single molecules, amyloid formation, crowding and hydrodynamics to DNA/RNA systems. Chem. Soc. Rev.. 43:4871–4893.
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2016. In silico structural characterization of protein targets for drug development against Trypanosoma cruzi. J. Mol. Model.. 22
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2016. PEP-FOLD3: faster denovo structure prediction for linear peptides in solution and in complex. Nucleic Acids Res.. 44:W449-W454.