View full-text article in PMC eLife. 2021 Sep 2;10:e66454. doi: 10.7554/eLife.66454 Search in PMC Search in PubMed View in NLM Catalog Add to search Copyright and License information © 2021, Lövkvist et al This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited. PMC Copyright notice Table 3. Propensity functions used in the simulations. Propensities Non-assembly methylation propensity bime=β(δSi,me0(γme0-1+kme0−1Ei)+δSi,me1(γme1-2+kme1−2Ei)+δSi,me2(γme2-3+kme2−3Ei)) Demethylation propensity ridem=γdem(δSi,me1+δSi,me2+δSi,me3) Transcription f={α(fmax−P(Rm)me2/me3PT(fmax−fmin))αfmin,P(Rm)me2/me3≥PT,P(Rm)me2/me3<PT m={NR,P(RNR)me2/me3>P(RB)me2/me3B,P(RNR)me2/me3≤P(RB)me2/me3 iff>flimthen f=flim Protein binding propensity If Q<NP then rbind=γbind(w)+kbindGIf Q=NP then rbind=0 Protein unbinding propensity rkunbind=δPk,boundγunbind Total methylation propensity rime={bime+kp−meG(δSi,me0+δSi,me1+δSi,me2),i∈RNRbime,i∈RB