Interior of ELP condensates exhibits interfacial properties as a result of microphase separation. (A) Pearson correlation coefficient, ρ, between the stated measure of hydrophobicity and the condensate transition temperature, Tt, measured by Urry.46 To remove discrepencies in which end of the scale is hydrophobic and which end is hydrophilic, all hydrophobicity scales, including the Urry scale, are first normalized such that 1 corresponds to the most hydrophobic residue and 0 corresponds to the least hydrophobic residue. Hydrophobicity measures considered include experimental measures of water-solvent transfer free energies (water-1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine[POPC]-interface,76 water-octanol1,77 water-octanol2,78 water-ethanol,78,79 water-cyclohexane,80 and water-N-cyclohexyl-2-pyrrolidone[CHP]81), atomic level analysis of moieties within amino acids (Kapcha),83 computational approaches to estimate hydrophobicity within disordered proteins (IDPs184 and IDPs285), bioinformatics techniques that approximate the burial propensity, or relative solvent accessibility (RSA) of amino acids (RSA186 and RSA287), and a method that mixed protein burial fraction with water-vapor transfer free energy (RSA/watervapor88). The red box highlights the high correlation between Tt and water-octanol or water-POPC-interface transfer free energies. (B, C) Condensate organization from MARTINI simulations for V5F5 (B) and V5A5 (C). The top panels provide protein-only views for simulated condensates, with the guest residue X, glycine adjacent to the guest residue, and the remaining residues colored red, green, and blue, respectively. Condensate images are repeated periodically in the x/y plane. The bottom panel shows the overall radial distribution function from the guest amino acid to those amino acids native to the ELP sequence.