Daniel Bolon to Saccharomyces cerevisiae Proteins
This is a "connection" page, showing publications Daniel Bolon has written about Saccharomyces cerevisiae Proteins.
Connection Strength
3.376
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Flynn JM, Joyce ME, Bolon DNA. Dominant negative mutations in yeast Hsp90 indicate triage decision mechanism targeting client proteins for degradation. Mol Biol Cell. 2025 Jan 01; 36(1):ar5.
Score: 0.714
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Flynn JM, Rossouw A, Cote-Hammarlof P, Fragata I, Mavor D, Hollins C, Bank C, Bolon DN. Comprehensive fitness maps of Hsp90 show widespread environmental dependence. Elife. 2020 03 04; 9.
Score: 0.515
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Bank C, Hietpas RT, Jensen JD, Bolon DN. A systematic survey of an intragenic epistatic landscape. Mol Biol Evol. 2015 Jan; 32(1):229-38.
Score: 0.356
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Roscoe BP, Bolon DN. Systematic exploration of ubiquitin sequence, E1 activation efficiency, and experimental fitness in yeast. J Mol Biol. 2014 Jul 29; 426(15):2854-70.
Score: 0.345
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Jiang L, Mishra P, Hietpas RT, Zeldovich KB, Bolon DN. Latent effects of Hsp90 mutants revealed at reduced expression levels. PLoS Genet. 2013 Jun; 9(6):e1003600.
Score: 0.324
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Pursell NW, Mishra P, Bolon DN. Solubility-promoting function of Hsp90 contributes to client maturation and robust cell growth. Eukaryot Cell. 2012 Aug; 11(8):1033-41.
Score: 0.301
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Padhy AA, Mavor D, Sahoo S, Bolon DNA, Mishra P. Systematic profiling of dominant ubiquitin variants reveals key functional nodes contributing to evolutionary selection. Cell Rep. 2023 09 26; 42(9):113064.
Score: 0.164
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Starr TN, Flynn JM, Mishra P, Bolon DNA, Thornton JW. Pervasive contingency and entrenchment in a billion years of Hsp90 evolution. Proc Natl Acad Sci U S A. 2018 04 24; 115(17):4453-4458.
Score: 0.113
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Ichikawa Y, Connelly CF, Appleboim A, Miller TC, Jacobi H, Abshiru NA, Chou HJ, Chen Y, Sharma U, Zheng Y, Thomas PM, Chen HV, Bajaj V, M?ller CW, Kelleher NL, Friedman N, Bolon DN, Rando OJ, Kaufman PD. A synthetic biology approach to probing nucleosome symmetry. Elife. 2017 09 12; 6.
Score: 0.108
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Bank C, Hietpas RT, Wong A, Bolon DN, Jensen JD. A bayesian MCMC approach to assess the complete distribution of fitness effects of new mutations: uncovering the potential for adaptive walks in challenging environments. Genetics. 2014 Mar; 196(3):841-52.
Score: 0.084
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Hietpas RT, Bank C, Jensen JD, Bolon DNA. Shifting fitness landscapes in response to altered environments. Evolution. 2013 Dec; 67(12):3512-22.
Score: 0.082
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Roscoe BP, Thayer KM, Zeldovich KB, Fushman D, Bolon DN. Analyses of the effects of all ubiquitin point mutants on yeast growth rate. J Mol Biol. 2013 Apr 26; 425(8):1363-77.
Score: 0.079
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Hietpas RT, Jensen JD, Bolon DN. Experimental illumination of a fitness landscape. Proc Natl Acad Sci U S A. 2011 May 10; 108(19):7896-901.
Score: 0.069
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Wayne N, Mishra P, Bolon DN. Hsp90 and client protein maturation. Methods Mol Biol. 2011; 787:33-44.
Score: 0.068
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Haririnia A, Verma R, Purohit N, Twarog MZ, Deshaies RJ, Bolon D, Fushman D. Mutations in the hydrophobic core of ubiquitin differentially affect its recognition by receptor proteins. J Mol Biol. 2008 Jan 25; 375(4):979-96.
Score: 0.055