I'll list the papers that I obtained these parameters from. BioNumbers is a very useful resource and some of these papers that I cite have been obtained from the reference mentioned in BioNumbers. So BioNumbers should the first place to look for things like this. If you are not satisfied then start googling around :)
You should, however, keep in mind that simulation using exact parameters may not be very helpful. You can try varying the parameters in some given range and see the effects. Some parameters actually vary a lot.
- Protein translation rate: 11 amino acids per second. Assume some steady state concentration of mRNA. This parameter is highly variable as there can be multiple ribosomes per mRNA . Also see Schwanhäusser et al. (Supplementary excel sheet) 
- Protein degradation rate: Take an average or one of the values reported by Schwanhäusser et al. (2011) 
- Association/dissociation rates: See table shown by Zhou (2003). It lists different known interactions.
- Protein diffusivity: This differs for cytoplasm and water. You can assume diffusivity in ECF to be same as that in water. See Arrio-Dupont et al. (2000) . They report it for specific proteins. You can extrapolate for other proteins using the Stoke-Einstein relation which says that diffusivity decreases inversely with the radius of the particle.
 Siwiak, Marlena, and Piotr Zielenkiewicz. "Transimulation-protein biosynthesis web service." PloS one 8.9 (2013): e73943.
 Schwanhäusser, Björn, et al. "Global quantification of mammalian gene expression control." Nature 473.7347 (2011): 337-342.
 Zhou, Huan‐Xiang. "Association and dissociation kinetics of colicin E3 and immunity protein 3: convergence of theory and experiment." Protein science 12.10 (2003): 2379-2382.
 Arrio-Dupont, Martine, et al. "Translational diffusion of globular proteins in the cytoplasm of cultured muscle cells." Biophysical journal 78.2 (2000): 901-907.