Author [ Title] Type Year
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Rao VHemanth Gi, Gosavi S. 2016. Using the folding landscapes of proteins to understand protein function.. Curr Opin Struct Biol. 36:67-74.
Gershenson A, Gosavi S, Faccioli P, Wintrode PL. 2020. Successes and challenges in simulating the folding of large proteins.. J Biol Chem. 295(1):15-33.
Broom A, Gosavi S, Meiering EM. 2015. Protein unfolding rates correlate as strongly as folding rates with native structure.. Protein Sci. 24(4):580-7.
Neelamraju S, Wales DJ, Gosavi S. 2020. Protein energy landscape exploration with structure-based models.. Curr Opin Struct Biol. 64:145-151.
Mascarenhas NManuel, Gosavi S. 2016. Protein Domain-Swapping Can Be a Consequence of Functional Residues.. J Phys Chem B. 120(28):6929-38.
Yadahalli S, Gosavi S. 2016. Functionally Relevant Specific Packing Can Determine Protein Folding Routes.. J Mol Biol. 428(2 Pt B):509-21.
Rao VVHemanth, Gosavi S. 2018. On the folding of a structurally complex protein to its metastable active state.. Proc Natl Acad Sci U S A.
Mandalaparthy V, Sanaboyana VRamana, Rafalia H, Gosavi S. 2018. Exploring the effects of sparse restraints on protein structure prediction.. Proteins. 86(2):248-262.
Yadahalli S, Li J, Lane DP, Gosavi S, Verma CS. 2017. Characterizing the conformational landscape of MDM2-binding p53 peptides using Molecular Dynamics simulations.. Sci Rep. 7(1):15600.