Daniel Bolon to Genetic Fitness
This is a "connection" page, showing publications Daniel Bolon has written about Genetic Fitness.
Connection Strength
4.585
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Flynn J, Samant N, Schneider-Nachum G, Tenzin T, Bolon DNA. Mutational fitness landscape and drug resistance. Curr Opin Struct Biol. 2023 02; 78:102525.
Score: 0.835
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Cote-Hammarlof PA, Fragata I, Flynn J, Mavor D, Zeldovich KB, Bank C, Bolon DNA. The Adaptive Potential of the Middle Domain of Yeast Hsp90. Mol Biol Evol. 2021 01 23; 38(2):368-379.
Score: 0.729
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Canale AS, Venev SV, Whitfield TW, Caffrey DR, Marasco WA, Schiffer CA, Kowalik TF, Jensen JD, Finberg RW, Zeldovich KB, Wang JP, Bolon DNA. Synonymous Mutations at the Beginning of the Influenza A Virus Hemagglutinin Gene Impact Experimental Fitness. J Mol Biol. 2018 04 13; 430(8):1098-1115.
Score: 0.595
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Canale AS, Cote-Hammarlof PA, Flynn JM, Bolon DN. Evolutionary mechanisms studied through protein fitness landscapes. Curr Opin Struct Biol. 2018 02; 48:141-148.
Score: 0.593
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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: 0.434
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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: 0.431
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Hietpas R, Roscoe B, Jiang L, Bolon DN. Fitness analyses of all possible point mutations for regions of genes in yeast. Nat Protoc. 2012 Jun 21; 7(7):1382-96.
Score: 0.402
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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: 0.171
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Mishra P, Flynn JM, Starr TN, Bolon DNA. Systematic Mutant Analyses Elucidate General and Client-Specific Aspects of Hsp90 Function. Cell Rep. 2016 Apr 19; 15(3):588-598.
Score: 0.131
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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: 0.118
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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: 0.112
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Boucher JI, Bolon DN, Tawfik DS. Quantifying and understanding the fitness effects of protein mutations: Laboratory versus nature. Protein Sci. 2016 07; 25(7):1219-26.
Score: 0.033