Bojan Zagrovic, Ph.D.

Affiliations: 
2004 Stanford University, Palo Alto, CA 
Area:
theoretical methods to understand the physical properties of biological molecules
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"Bojan Zagrovic"
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Vijay S. Pande grad student 2004 Stanford
 (Studying protein folding and dynamics using world-wide distributed computing.)
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Publications

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Polyansky AA, Gallego LD, Efremov RG, et al. (2023) Protein compactness and interaction valency define the architecture of a biomolecular condensate across scales. Elife. 12
Hajnic M, Gil SA, Polyansky AA, et al. (2022) Interaction preferences between protein side chains and key epigenetic modifications 5-methylcytosine, 5-hydroxymethycytosine and N-methyladenine. Scientific Reports. 12: 19583
Fleck M, Polyansky AA, Zagrovic B. (2018) Self-Consistent Framework Connecting Experimental Proxies of Protein Dynamics with Configurational Entropy. Journal of Chemical Theory and Computation
Hlevnjak M, Zagrovic B. (2015) Malleable nature of mRNA-protein compositional complementarity and its functional significance. Nucleic Acids Research. 43: 3012-21
de Ruiter A, Zagrovic B. (2015) Absolute binding-free energies between standard RNA/DNA nucleobases and amino-acid sidechain analogs in different environments. Nucleic Acids Research. 43: 708-18
Hajnic M, Osorio JI, Zagrovic B. (2014) Computational analysis of amino acids and their sidechain analogs in crowded solutions of RNA nucleobases with implications for the mRNA-protein complementarity hypothesis. Nucleic Acids Research. 42: 12984-94
Petrov D, Zagrovic B. (2014) Are current atomistic force fields accurate enough to study proteins in crowded environments? Plos Computational Biology. 10: e1003638
Kuzmanic A, Pannu NS, Zagrovic B. (2014) X-ray refinement significantly underestimates the level of microscopic heterogeneity in biomolecular crystals. Nature Communications. 5: 3220
Polyansky AA, Hlevnjak M, Zagrovic B. (2013) Analogue encoding of physicochemical properties of proteins in their cognate messenger RNAs. Nature Communications. 4: 2784
Petrov D, Margreitter C, Grandits M, et al. (2013) A systematic framework for molecular dynamics simulations of protein post-translational modifications. Plos Computational Biology. 9: e1003154
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