Balázs Papp - Selected Publications#

(asterisk indicates co-senior or co-first authorship)

Notebaart, R.A., Szappanos, B., Kintses, B., Pál, F., Györkei, A., Bogos, B., Lázár, V., Spohn, R., Csörgő, B., Wagner, A., Ruppin, E., Pál, C., Papp, B. (2014) Network-level architecture and the evolutionary potential of underground metabolism. Proc Natl Acad Sci U S A. 111: 11762-11767.
/IF=9.7; this work was the first to systematically explore the raw material of metabolic evolution/

Lázár, V., Singh, G. P., Spohn, R., Nagy, I., Horváth, B., Hrtyan, M., Busa-Fekete, R., Bogos, B., Méhi, O., Csörgő, B., Pósfai, G., Fekete, G., Szappanos, B., Kégl, B., Papp, B.*, Pál, C.* (2013) Bacterial evolution of antibiotic hypersensitivity. Molecular Systems Biology 9:700
/IF=14.1; discovered that evolution of resistance to one antibiotic often increases sensitivity to other antibiotics/

Papp, B., Notebaart, R.A., Pál, C. (2011) Systems-biology approaches for predicting genomic evolution. Nature Reviews Genetics 12: 591
/IF=38.1; review on the integration of evolutionary and systems biology/

Szappanos, B., Kovács, K., Szamecz, B., Honti, F., Costanzo, M., Baryshnikova, A., Gelius-Dietrich, G., Lercher, M.J., Jelasity, M., Myers, C.L., Andrews, B.J., Boone, C., Oliver, S.G., Pál, C., Papp, B. (2011) An integrated approach to characterize genetic interaction networks in yeast metabolism. Nature Genetics 43: 656.
/IF=35.5; first systematic test of epistasis prediction by genome-scale modeling; highlighted by Faculty of 1000/

*Harrison, R., *Papp, B., Pál, C., Oliver, S.G., Delneri, D. (2007) Plasticity of genetic interactions in metabolic networks of yeast. Proc Natl Acad Sci U S A. 104: 2307-12.
/IF=9.6/

Pál, C., Papp, B. and Lercher, M.J. (2006) Towards an integrated view on protein evolution. Nature Reviews Genetics 7: 337-48.
/IF=22.9; a widely cited review on the driving forces of protein sequence evolution/

*Pál, C., *Papp, B., Lercher, M.J., Csermely, P., Oliver, S.G. and Hurst, L.D. (2006) Chance and necessity in the evolution of minimal metabolic networks. Nature 440: 667-70.
/IF=26.7; demonstrated that the outcome of reductive genome evolution is predictable using systems biology modeling; received intense media attention (e.g. BBC)/

Papp, B., Pál, C. and Hurst, L.D. (2004) Metabolic network analysis of the causes and evolution of enzyme dispensability in yeast. Nature 429: 661-4.
/IF=32.2; first work to employ genome-scale systems modeling to address an evolutionary genetic paradox/

Papp, B., Pál, C. and Hurst, L.D. (2003) Dosage sensitivity and the evolution of gene families in yeast. Nature 424: 194-7.
/IF=31; this is one of the most influential work of Balazs Papp which puts forward the dosage balance hypothesis; this work spurred a number of follow-up studies and provided a framework to connect previously isolated findings in comparative genomics; selected as a must read by Faculty of 1000/

Pál, C., Papp B. and Hurst, L.D. (2001): Highly expressed genes in yeast evolve slowly. Genetics 158: 927-931.
/a highly cited work which first reported gene expression level as a crucial determinant of the rate of protein evolution; this discovery is cited as one of the four laws of genome evolution by the renowned genomicist Eugene Koonin/